[go: up one dir, main page]

WO2024235502A1 - Appareils et procédés pour une d'opération d'économie d'énergie de nœuds de réseau - Google Patents

Appareils et procédés pour une d'opération d'économie d'énergie de nœuds de réseau Download PDF

Info

Publication number
WO2024235502A1
WO2024235502A1 PCT/EP2024/057233 EP2024057233W WO2024235502A1 WO 2024235502 A1 WO2024235502 A1 WO 2024235502A1 EP 2024057233 W EP2024057233 W EP 2024057233W WO 2024235502 A1 WO2024235502 A1 WO 2024235502A1
Authority
WO
WIPO (PCT)
Prior art keywords
energy saving
node
cell
saving state
predictions
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
PCT/EP2024/057233
Other languages
English (en)
Inventor
Ethiraj Alwar
Anna Pantelidou
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Nokia Technologies Oy
Original Assignee
Nokia Technologies Oy
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Nokia Technologies Oy filed Critical Nokia Technologies Oy
Priority to CN202480031663.1A priority Critical patent/CN121176101A/zh
Publication of WO2024235502A1 publication Critical patent/WO2024235502A1/fr
Anticipated expiration legal-status Critical
Pending legal-status Critical Current

Links

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W52/00—Power management, e.g. Transmission Power Control [TPC] or power classes
    • H04W52/02—Power saving arrangements
    • H04W52/0203—Power saving arrangements in the radio access network or backbone network of wireless communication networks
    • H04W52/0206—Power saving arrangements in the radio access network or backbone network of wireless communication networks in access points, e.g. base stations
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00—Reducing energy consumption in communication networks
    • Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks

Definitions

  • the present application generally relates to wireless technology .
  • some example embodiments of the present application relate to energy saving operation of network nodes , such as base stations .
  • Base stations may activate or de-activate one or more cells for energy saving purposes .
  • an overall performance of the network should not be degraded .
  • base stations may be responsible for a large amount of energy consumed in cellular networks , it would be beneficial to improve their energy saving operations .
  • Example embodiments may enable an enhancement to an energy saving probing procedure of network nodes through introduction of an intermediate state between an energy saving and not-energy saving state of the network nodes , for example , upon request from a neighbour node .
  • Service provided during the intermediate state may be limited to measurements or measurements and predictions without providing access to user nodes . This may be achieved by the features of the independent claims . Further implementation forms are provided in the dependent claims , the description, and the drawings .
  • an apparatus may comprise at least one processor ; and at least one memory including instructions which, when executed by the at least one processor, cause the apparatus at least to : obtain, from at least one node hosting a coverage cel l , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node ; and activate one or more cel ls or beams in the intermediate energy saving state based on the instructions .
  • the apparatus comprises a node hosting a capacity cell and the node hosting a coverage cel l comprises a neighbour node or the node hosting the capacity cell .
  • the instructions comprise configurations for at least one of requested measurements , requested predictions , a start time for enabling the intermediate energy saving state , a duration for the intermediate energy saving state , a list of one or more cells to be activated in the intermediate energy saving state or a list of one or more beams to be activated in the intermediate energy saving state .
  • the instructions are obtained from a data collection request received from the neighbour node
  • the at least one memory comprises instructions which, when executed by the at least one processor, cause the apparatus to : send a response to the neighbour node indicating i f activation the intermediate energy saving state is accepted as requested or accepted for a subset of the requested cells or beams .
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to : obtain, from the node hosting a coverage cell , an update for the configurations comprising a change in at least one of the one or more beams or cells to be activated, the requested measurements , the requested predictions , the start time or the duration; and activate the intermediate energy saving state based on the update
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to send a noti fication to one or more neighbour nodes compri sing information about the obtained instructions .
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to send a noti fication to one or more neighbour nodes that the one or more cel ls or beams are activated in the intermediate energy saving state based on the instructions .
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to receive , from the one or more neighbour nodes , a request for predictions comprising measurements associated with the activated cells or beams ; perform predictions based on the received measurements ; send a response comprising the predictions to the one or more neighbour nodes ; and receive , from at least one of the neighbour nodes , instructions for one or more cells or beams to enter the energy saving state or the normal state based on the predictions .
  • the predictions are performed with machine learning .
  • the predictions are associated to at least one of energy consumption, energy ef ficiency, resource status utili zation or average user node performance .
  • an apparatus may comprise at least one processor ; and at least one memory including instructions which, when executed by the at least one processor, cause the apparatus at least to : provide , to at least one node hosting a capacity cell , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node .
  • the apparatus comprises a node hosting a coverage cell and the node hosting the capacity cell comprises a neighbour node or the node hosting a capacity cell .
  • the instructions compri se configurations for at least one of requested measurements , requested predictions , a start time for enabling the intermediate energy saving state , a duration for the intermediate energy saving state , a list of one or more cells to be activated in the intermediate energy saving state or a list of one or more beams to be activated in the intermediate energy saving state .
  • the least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to send an update for the instructions comprising at least one o f a change in the one or more beams or cells to be activated, the measurements , the predictions , the start time , or the duration .
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to obtain, from the node hosting a capacity cell , an indication i f activating the intermediate state is accepted as requested or accepted for a subset of the requested cells or beams .
  • the at least one memory comprises instructions which, when executed by the at least one processor, cause the apparatus to receive a noti fication when the one or more cells or beams are activated based on the instructions .
  • the at least one memory comprises instructions which, when executed by the at least one processor, cause the apparatus to configure one or more user nodes to perform one or more measurements on the one or more activated cells or beams ; obtain the one or more measurements ; obtain predictions for the one or more measurements ; evaluate cost metrics based on the predictions to determine one or more cells or beams to be activated at the node hosting a capacity cell ; and instruct one or more cells or beams of the node hosting a capacity cell to enter the energy saving state or the normal state based on the evaluation .
  • the at least one memory comprises instructions which, when executed by the at least one processor, cause the apparatus to send the one or more measurements to the node hosting a capacity cell for the predictions ; and obtain the predictions from the node hosting the capacity cell .
  • the predictions are performed with machine learning .
  • the predictions are associated to at least one of energy consumption, energy ef ficiency, resource status utili zation or average user node performance .
  • a computer- implemented method may comprise obtaining, from at least one node hosting a coverage cel l , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node ; and activating one or more cell s or beams in the intermediate energy saving state based on the instructions .
  • the node hosting a coverage cell comprises a neighbour node .
  • the instructions comprise configurations for at least one of requested measurements , requested predictions , a start time for enabling the intermediate energy saving state , a duration for the intermediate energy saving state , a list of one or more cells to be activated in the intermediate energy saving state or a list of one or more beams to be activated in the intermediate energy saving state .
  • the instructions are obtained from a data collection request received from the neighbour node , and the method further comprises sending a response to the neighbour node indicating i f activation the intermediate energy saving state is accepted as requested or accepted for a subset of the requested cells or beams .
  • the method comprises obtaining, from the node hosting a coverage cel l , an update for the configurations comprising a change in at least one of the one or more beams or cel ls to be activated, the requested measurements , the requested predictions , the start time or the duration; and activating the intermediate energy saving state based on the update [0030]
  • the method comprises sending a noti fication to one or more neighbour nodes comprising information about the obtained instructions .
  • the at least one memory further comprises instructions which, when executed by the at least one processor, cause the apparatus to send a noti fication to one or more neighbour nodes that the one or more cel ls or beams are activated in the intermediate energy saving state based on the instructions .
  • the method comprises receiving, from the one or more neighbour nodes , a request for predictions comprising measurements associated with the activated cells or beams ; performing predictions based on the received measurements ; sending a response comprising the predictions to the one or more neighbour nodes ; and receiving, from at least one of the neighbour nodes , instructions for one or more cel ls or beams to enter the energy saving state or the normal state based on the predictions .
  • the predictions are performed with machine learning .
  • the predictions are and associated to at least one of energy consumption, energy ef ficiency, resource status utili zation or average user node performance .
  • a computer- implemented method may comprise providing, to at least one node hosting a capacity cel l , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node .
  • the node hosting the capacity cel l comprises a neighbour node .
  • the instructions comprise configurations for at least one of requested measurements , requested predictions , a start time for enabling the intermediate energy saving state , a duration for the intermediate energy saving state , a list of one or more cells to be activated in the intermediate energy saving state or a list of one or more beams to be activated in the intermediate energy saving state .
  • the method comprises sending an update for the instructions comprising at least one of a change in the one or more beams or cel ls to be activated, the measurements , the predictions , the start time , or the duration .
  • the method comprises obtaining, from the node hosting a capacity cell , an indication i f activating the intermediate state is accepted as requested or accepted for a subset of the requested cells or beams .
  • the method comprises receiving a noti fication when the one or more cells or beams are activated based on the instructions .
  • the method comprises configuring one or more user nodes to perform one or more measurements on the one or more activated cells or beams ; obtaining the one or more measurements ; obtaining predictions for the one or more measurements ; evaluating cost metrics based on the predictions to determine one or more cel ls or beams to be activated at the node hosting a capacity cell ; and instructing one or more cells or beams of the node hosting a capacity cell to enter the energy saving state or the normal state based on the evaluation .
  • the method comprises sending the one or more measurements to the node hosting a capacity cell for the predictions ; and obtaining the predictions from the node hosting the capacity cell .
  • the predictions are performed with machine learning .
  • the predictions are associated to at least one of energy consumption, energy ef ficiency, resource status utili zation or average user node performance .
  • a computer program may be configured, when executed by a processor, to cause an apparatus at least to perform the following : obtain, from at least one node hosting a coverage cel l , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node ; and activate one or more cel ls or beams in the intermediate energy saving state based on the instructions .
  • the computer program may further comprise instructions for causing the apparatus to perform any example embodiment of the method of the third aspect .
  • a computer program may comprise instructions for causing an apparatus to perform at least the following : provide , to at least one node hosting a capacity cell , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node .
  • the computer program may further comprise instructions for causing the apparatus to perform any example embodiment of the method of the fourth aspect .
  • FIG . 1 illustrates an example of a communication network comprising network nodes and a client node according to an example embodiment .
  • FIG . 2 illustrates an example of an apparatus configured to practice one or more example embodiments ;
  • FIG . 3 illustrates an example of cell states of a node according to an example embodiment ;
  • FIG . 4 illustrates an example of a data collection procedure according to an example embodiment
  • FIG . 5 illustrates an example of a data collection reconfiguration procedure according to an example embodiment
  • FIG . 6 illustrates an example of a procedure for data collection configuration noti fication according to an example embodiment
  • FIG . 7 illustrates an example of a procedure for an energy saving operation mode change noti fication according to an example embodiment
  • FIG . 8 illustrates an example of an information request procedure according to an example embodiment
  • FIG . 9 illustrates an example of a procedure for cell-activation according to an example embodiment ;
  • FIG . 10 illustrates an example of a cell deactivation procedure according to an example embodiment ;
  • FIG . 11 illustrates an example of a table of possible combinations for a node comprising two cells with each cell having three beams according to an example embodiment ;
  • FIG . 12 illustrates an example of a method for assisting in data collection before a transition between an energy saving state and a normal state of one or more cells or beams according to an example embodiment
  • FIG . 13 illustrates an example of a method for enabling data collection before a transition between an energy saving state and a normal state of one or more cells or beams according to an example embodiment .
  • FIG . 1 illustrates an example of a communication network comprising network nodes and a client node .
  • the communication network 100 may comprise one or more core network elements 108 such as for example access and mobility management function (AMF) and/or user plane function (UPF) .
  • the communication network 100 may further comprise one or more base stations , represented by gNBs 102 , 104 , 106 and one or more client nodes , which may be also referred to as a user nodes or UE 110 .
  • the UE 110 may communicate with one or more of the base stations via wireless radio channel ( s ) . Communications between the UE 110 the one or more gNBs 102 , 104 , 106 may be bidirectional .
  • any of the devices may be configured to operate as a transmitter and/or a receiver .
  • the base stations may be configured to communicate with the core network elements over a communication interface , such as for example a control plane interface or a user plane interface NG-C/U .
  • Base stations may be also called radio access network (RAN) nodes and they may be part of a radio access network between the core network and the UEs .
  • Network elements AMF/UPF and base stations may be generally referred to as nodes , network nodes or network devices . Although depicted as a single device , a network node may not be a stand-alone device , but for example a distributed computing system coupled to a remote radio head .
  • the communication network 100 may be configured for example in accordance with the 5th Generation digital cellular communication network, as defined by the 3rd Generation Partnership Proj ect ( 3GPP ) .
  • the communication network 100 may operate according to 3GPP 5G-NR . It is however appreciated that example embodiments presented herein are not limited to this example network and may be applied in any present or future wireless or wired communication networks , or combinations thereof , for example other type of cellular networks , short-range wireless networks , broadcast or multicast networks , or the like .
  • Each base station may be associated with one or more cells .
  • Each cell may be further as sociated with one or more beams .
  • a cell may refer to a geographical area covered by a frequency emitted by a respective base station in a communication network .
  • each of the gNBs 102 , 104 , 106 may be associated with respective cells 112 , 114 , 116 .
  • cells may be distinguished to "coverage cells" , deployed to provide basic coverage and to "capacity cells” , deployed to increase capacity .
  • the capacity cells may be switched of f when the additional capacity is not needed in order to increase network energy ef ficiency .
  • a node hosting a capacity cell may autonomously switch of f the capacity cell in order to lower energy consumption .
  • Thi s decis ion may be taken using cell load information at the capacity cell to be switched off.
  • one of the main AI/ML energy saving actions comprise cell activation and cell deactivation.
  • a capacity cell is in energy saving mode/state (deactivated/switched-of f )
  • the capacity cell is switched-off and not available for UE measurements, it may not give any information to a neighbouring node hosting a coverage cell which takes the capacity cell switch-on decision regarding the achievable UE performance when offloading to the capacity cell takes place.
  • a node may activate a cell at a neighbouring node hosting capacity cell (s) through a XnAP procedure cell activation request.
  • XnAP Xn application protocol
  • XnAP may refer to a control plane signalling between base stations, such as gNBs, over a Xn interface to support a variety of RAN related procedures.
  • the Xn interface may be used in UE related mobility procedures and in global procedures between, for example, two NG-RAN nodes.
  • the node hosting the capacity cell may transition from a energy saving state to not energy saving state.
  • the node requesting cell activation may execute this activation "blindly" since it may not have any apriori information about the experienced UE performance after a certain number of UEs are handed over to the activated capacity cell. This is because while a capacity cell is switched off, the node evaluating the cell activation may not have access to UE measurements until after the cell is activated.
  • a node hosting a capacity cell decides to de-activate one or more of its capacity cell (s) .
  • a cell When a cell is deactivated, it may be switched off.
  • the node hosting capacity cells that are being activated may transition from the energy saving state, wherein the cells are de- activated/switched-of f , to a normal state, wherein the cells are activated/switched-on .
  • the normal state may be also referred to as a not energy saving state.
  • the node hosting a capacity cell may just notify the neighbour nodes of the change in the energy saving state of the node.
  • the capacity cell after the cell de-activation, the capacity cell may not be able to provide measurements to its neighbour nodes.
  • the neighbour nodes hosting coverage cells may not have any prior information, such as the measurements, about the performance of the UE(s) that are likely to be offloaded, it may be hard to predict whether the decision to switchoff was a good decision or not for the UE(s) .
  • the minimum activation time is either configured by a node's 0AM (operations and management) interface or left to the implementation of the node. Due to this type of configuration, when a node wants to determine whether to activate a cell or not it may not know for how long the minimum activation time lasts , and therefore , it may not receive enough information over the of floaded UEs to evaluate performance and determine whether a potential cell activation will be beneficial .
  • An obj ective of this disclosure is to improve AI /ML energy saving actions by introducing a new energy saving state which can be configured by a neighboring node .
  • the new energy saving state may be referred to as an intermediate energy saving state .
  • a node hosting a capacity cell configured to enter the intermediate energy saving state may provide service in measurement- only mode or for measurements and predictions .
  • a request for entering the intermediate energy saving state may be received from a neighbour node together with a configuration regarding how long the state should be enabled and what kind of measurements/predictions should be provided during this state . Since a node can host both coverage and capacity cel ls it is possible that the intermediate energy saving state towards one or more capacity cells is activated internally by the node hosting both the coverage and capacity cells .
  • Example embodiments provide methods and procedures enabling the new mode of operation of a cell in a RAN ( radio access network) . This may enable ensuring that prior to cell activation/de-activation, a node may be able to collect UE measurements and evaluate performance in order to take meaningful decisions on cell activation/de- activation with respect to energy efficiency.
  • FIG. 2 illustrates an example of an apparatus 200 configured to practice one or more example embodiments .
  • the apparatus 200 may comprise at least one processor 202.
  • the at least one processor 202 may comprise, for example, one or more of various processing devices, such as for example a co-processor, a microprocessor, a controller, a digital signal processor (DSP) , a processing circuitry with or without an accompanying DSP, or various other processing devices including integrated circuits such as, for example, an application specific integrated circuit (ASIC) , a field programmable gate array (FPGA) , a microcontroller unit (MCU) , a hardware accelerator, a special-purpose computer chip, or the like.
  • various processing devices such as for example, an application specific integrated circuit (ASIC) , a field programmable gate array (FPGA) , a microcontroller unit (MCU) , a hardware accelerator, a special-purpose computer chip, or the like.
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • MCU microcontroller unit
  • the apparatus 200 may further comprise at least one memory 204.
  • the memory 204 may be configured to store, for example, computer program code 206 or the like, for example operating system software and application software.
  • the memory 204 may comprise one or more volatile memory devices, one or more non-volatile memory devices, and/or a combination thereof.
  • the memory 204 may be embodied as magnetic storage devices (such as hard disk drives, magnetic tapes, etc.) , optical magnetic storage devices, or semiconductor memories (such as mask ROM, PROM (programmable ROM) , EPROM (erasable PROM) , flash ROM, RAM (random access memory) , etc.) .
  • the apparatus 200 may further comprise one or more communication interfaces 208 configured to enable apparatus 200 to transmit information to other devices.
  • the communication interface 208 may be further configured to enable the apparatus 200 to receive information from other devices .
  • the communication interface 208 may be configured to provide at least one wireless radio connection, such as for example a 3GPP mobile broadband connection (e . g . 3G, 4G, 5G) .
  • the communication interface 208 may be configured to provide one or more other type of connections , for example a wireless local area network (WLAN) connection such as for example standardi zed by IEEE 802 .
  • WLAN wireless local area network
  • the communication interface 208 may comprise , or be configured to be coupled to , at least one antenna to transmit and/or receive radio frequency signals .
  • One or more of the various types of connections may be also implemented as separate communication interfaces , which may be coupled or configured to be coupled to a plurality of antennas .
  • some component and/or components of the apparatus 200 may be configured to implement this functionality .
  • this functionality may be implemented using program code 206 comprised, for example , in the memory 204 .
  • the functionality described herein may be performed, at least in part , by one or more computer program product components such as software components .
  • the apparatus 200 comprises a processor or processor circuitry, such as for example a microcontroller, configured by the program code when executed to execute the embodiments of the operations and functionality described.
  • the functionality described herein can be performed, at least in part, by one or more hardware logic components.
  • illustrative types of hardware logic components include Field-programmable Gate Arrays (FPGAs) , application-specific Integrated Circuits (ASICs) , application-specific Standard Products (ASSPs) , System- on-a-chip systems (SOCs) , Complex Programmable Logic Devices (CPLDs) , Graphics Processing Units (GPUs) .
  • FPGAs Field-programmable Gate Arrays
  • ASICs application-specific Integrated Circuits
  • ASSPs application-specific Standard Products
  • SOCs System- on-a-chip systems
  • CPLDs Complex Programmable Logic Devices
  • GPUs Graphics Processing Units
  • the apparatus 200 comprises means for performing at least one method described herein.
  • the means comprises the at least one processor 202, the at least one memory 204 including instructions which, when executed by the at least one processor 202, cause the apparatus 200 to perform the method.
  • the apparatus 200 may comprise for example a computing device such as for example a base station, a network node, a server device, a client node, or the like. Although the apparatus 200 is illustrated as a single device it is appreciated that, wherever applicable, functions of apparatus 200 may be distributed to a plurality of devices.
  • a computing device such as for example a base station, a network node, a server device, a client node, or the like.
  • FIG. 3 illustrates an example of cell states of a node according to an example embodiment.
  • a node may be configured enter to an energy saving state 300, wherein one or more cells of the node may not be visible to a UE and may not provide any service.
  • the node may be also configured to enter a not energy saving state 304, wherein the cell of the node is visible to the UE and provides service .
  • the node may be configured to an intermediate energy saving state 302 with service either for measurements or for measurements and predictions .
  • the cell of the node may be visible to the UE for the measurements and/or energy ef ficiency related predictions and data exchange for predictions .
  • the cel ls may be configured to transition between the energy saving state 300 and the intermediate energy saving state 302 , and between the intermediate energy saving state 302 and the not energy saving state 304 .
  • the cells may be configured to change their state based on request from the node hosting the cell or based on a request from a neighbour node .
  • In the energy saving state and intermediate energy saving state at least some operations of a node are switched-of f for energy saving purposes .
  • all operations may be allowed to be activated .
  • the intermediate energy saving state 302 for measurements may refer to a mode of operation that enables a node to transmit reference signals corresponding to the node without allowing UEs to connect to the node , e . g . , cell ( s ) or beam ( s ) for UE ( s ) to measure and report .
  • Cel ls in the operation mode for measurements only may be configured to be in a "measurement-only" cell state .
  • the intermediate energy saving state 302 for measurements and predictions may refer to a mode o f operation that enables a node to do predictions also .
  • a node may not only transmit reference signals but may also provide predictions based on measurements over its cells/beams .
  • Cells in the operation mode for measurements and predictions may be configured to be in "measurement and prediction" cell state. Such predictions may enable neighbour nodes to take more informed decisions when it comes to energy saving. Neighbour nodes may be also referred to as adjacent nodes.
  • Predictions can include, for example, at least one of the following: energy consumption, energy efficiency, resource status utilization, average UE performance (e.g., throughput, delay, QoE (quality of experience) , etc.) related to the handed over UEs.
  • energy consumption energy efficiency
  • resource status utilization resource status utilization
  • average UE performance e.g., throughput, delay, QoE (quality of experience) , etc.
  • a first node may configure a second node, such as a neighbour node, to enable the operation mode for measurements or measurements and predictions in order to determine whether it is beneficial to activate a cell at the neighbour node.
  • at least one of the measurements or predictions may be enabled to determine whether it is beneficial to deactivate an own cell of the second node.
  • the first node may host a coverage cell.
  • the second cell may host a capacity cell. In an embodiment, the second cell may host both a coverage cell and a capacity cell and configure itself to enter the intermediate energy saving state.
  • FIG. 4 illustrates an example of a data collection procedure according to an example embodiment.
  • the procedure may enable a node to indicate cells or beams of a neighbour node that need to be activated in the specific mode of operation where the cells or beams do not provide access to UEs.
  • a first node such as gNB 102
  • the gNB 102 may comprise a coverage cell .
  • the second node such as gNB 104
  • the gNB 104 may comprise a capacity cell .
  • the gNB 102 may be configured to send a data collection request to the gNB 104 indicating an intermediate energy saving state to be used .
  • the intermediate energy saving state may comprise the measurement-only or the measurement and prediction mode .
  • the data collection request can also indicate other associated information and instructions such as a list of cells and/or beams to be configured for the indicated energy saving mode , which measurements and/or predictions shall be supported in this new mode ( i . e . , the measurement-only or measurement and prediction state ) , when shall be a starting time of supporting the measurements and/or predictions and/or for how long the activated cell ( s ) /beam ( s ) shall remain in the indicated energy saving mode .
  • the requesting node can introduce an IE (information element ) to start a measurement or to stop a measurement requested from the neighbour node .
  • the requesting node may request an update of an existing measurement (e . g . , to extend the time interval that the neighbour node provides the measurement in the configured mode of operation) or to request new/di f f erent measurements .
  • a new IE can be used in AI /ML data collection request to indicate that a certain measurement/prediction needs to be updated .
  • An alternative implementation functionality for this update operation is provided through a separate procedure, illustrated in FIG. 5.
  • the gNB 104 When the gNB 104 receives the data collection request from the gNB 102 with energy saving mode indication to measurement only or measurement and prediction state, it may be configured to respond at 404 whether it is ok for the gNB 104 to enter the indicated mode or not. The gNB 104 may be configured to additionally indicate whether it is willing to enter the requested mode only for a subset of the requested cells or beams. At 402, the gNB 104 may be configured to store the configuration received at 400. The data collection request 400 and response 404 may be transmitted based on a XnAP procedure. The data collection may be configured for Al functionality to collect data needed by an ML algorithm.
  • FIG. 5 illustrates an example of a data collection reconfiguration procedure according to an example embodiment.
  • the procedure may enable a node to update one or more cells or beams to be activated in a specific energy saving state.
  • the node requesting the update e.g., gNB 102
  • the specific energy saving mode may comprise the measurement-only or the measurement and prediction mode.
  • the gNB 102 may be configured to send a data collection reconfiguration message to a gNB 104.
  • the data collection reconfiguration message may be configured to update previously indicated configuration information, as illustrated in FIG. 4, such as the start time and/or how long the activated cell shall remain in the indicated energy saving mode.
  • a requesting node may request a node to extend the configured mode of operation (i.e., measurement-only or measurement and prediction mode) for a longer period of time or to terminate it.
  • the update may involve requesting measurements from dif f erent/new sets of UEs, measurements from dif f erent/new sets of cell (s) and/or measurements from dif f erent/new sets of beams .
  • the gNB 104 may be configured to store the configuration received at 500.
  • the gNBl 104 may be configured to respond to the gNB 102 if the gNB 104 accepts the update.
  • the gNB 104 may be also configured to indicate if it accepts the update only partly, such as only for some of the indicated cells or beams .
  • the data collection reconfiguration request 500 and response 502 may be transmitted based on the XnAP .
  • the data collection may be configured for AT functionality and for collection of data needed by an ML algorithm.
  • FIG. 6 illustrates an example of a procedure for data collection configuration notification according to an example embodiment.
  • a node Upon receipt of the data collection request 400, as illustrated in FIG. 4, a node can be configured to notify its neighbour nodes about such a request.
  • a node such as the gNB 104
  • the gNB 104 may be configured to send at least part of the content of the request in a data collection configuration noti fication message to one or more neighbour nodes , such as a gNB 106 .
  • the data collection configuration noti fication may comprise the content of the request as accepted .
  • the content may comprise at least one of an indication of the measurement-only or measurement and prediction state , a list of cells and/or beams for which the state is appl ied and/or a timing configuration compri sing a start time and/or duration for the configured state .
  • the noti fication sent at 600 may be based on content of a data collection reconfiguration request .
  • the neighbour nodes can become aware that the configured node will be capable to provide certain measurements and/or predictions during a certain period of time in the measurement-only or measurement and prediction mode . This may enable the neighbour nodes , for example , to request for the same measurements later on in time .
  • the signalling between the gNB 102 , gNB 104 and gNB 106 may be transmitted based on the XnAP .
  • FIG . 7 illustrates an example of a procedure for an energy saving mode change noti f ication according to an example embodiment .
  • a node may be configured to indicate to neighbour nodes when the node transitions to the intermediate energy saving state (measurement-only or measurement and prediction mode ) .
  • the neighbour nodes may refer, for example , to nodes hosting coverage cel ls or other neighbour nodes .
  • a change in the energy saving state may be noti fied not only to a node that requested measurements or predictions but also to other neighbours .
  • a gNB 102 may be configured to activate one or more cells or beams in an indicated intermediate energy saving state at an indicated start time and for an indicated duration .
  • the indications may be received, for example , in a data collection request message from a gNB 104 .
  • the gNB 102 may be configured to indicate a cell state change resulting from the activation to one or more neighbour nodes , such as the gNB 104 and a gNB 106 .
  • the cell state change can be indicated based on a XnAP NG-RAN node configuration update procedure , for example , by introducing a new value in a "cell coverage state" IE defined in a coverage modi fication item .
  • a value ' O ' may be configured to indicate that the cell is inactive .
  • Other values may be configured to indicate that the cell is active and/or a coverage configuration of the concerned cell .
  • a di f ferent value can be used to indicate that the cell is in measurement only mode and another value can be used to indicate that the cel l is in measurement and prediction mode .
  • FIG . 8 illustrates an example of an information request procedure according to an example embodiment .
  • the procedure may enable a node to request predictions from a node which is in the measurement and prediction mode of operation .
  • the procedure may be implemented based on the XnAP .
  • the procedure may be further related to supporting Al functionality and data for ML algorithm .
  • a gNB 102 may be configured to receive information request from one or more neighbour nodes , such as a gNB 104 and gNB 106 .
  • the one or more neighbour nodes may be configured to request for predictions performed by the gNB 102 .
  • the information request may comprise measurements based on which the predictions should be performed .
  • the measurements may comprise measurements performed by one or more UEs over one or more cells/beams activated by the gNB 102 in the intermediate energy saving state .
  • the gNB 102 may be configured to perform a machine learning model inference to make predictions .
  • the gNB 102 may be configured to respond to the information request with the predictions .
  • FIG . 9 illustrates an example of a procedure for cell-activation according to an example embodiment .
  • a node decides to activate one or more cell ( s ) /beams in another node , it may first initiate a procedure to activate the cell ( s ) /beam ( s ) in the intermediate energy saving mode of operation .
  • a gNB 102 hosting a capacity cell may be in the energy saving mode and in a de-activated state .
  • a gNB 104 hosting a coverage cell may be configured to send a request for data collection to the gNB 102 hosting a capacity cell .
  • the data collection request may comprise configuration data to activate one or more cells or beams at the receiving gNB 102 .
  • the data collection request may comprise at least one of an indication of the intermediate energy saving state to be activated, a list of cel ls to be activated, a list of beams to be activated or a timing configuration .
  • the timing configuration may comprise at least one of a start time for activation of the indicated mode or a duration of the mode .
  • the gNB 102 hosting a capacity cell may be configured to store the received configuration and send a response back to the gNB 104 hosting a coverage cell indicating i f the data collection request is accepted or not .
  • the gNB 102 hosting a capacity cell may be also configured to receive a request for data collection from more than one node hosting a coverage cell . For example , a first RAN node and a second RAN node can request a third RAN node to activate cells 1 and 2 and cel ls 3 and 4 , respectively, in the intermediate ES state concurrently .
  • a node hosting a capacity cel l can also indicate partial acceptance by including only the speci fic cells/beams which will be activated in the requested state . For example , this could be the case i f the gNB 102 hosting a capacity cell has already made a decision to switch of f /on one or more of the beams or cells .
  • the gNB 102 hosting a capacity cell may noti fy its other neighbour nodes about such a request , at 600 .
  • the gNB 102 hosting a capacity cell may be configured to activate the cell ( s ) /beam ( s ) in the requested intermediate energy saving state at the indicated start time and/or duration .
  • the gNB 102 hosting a capacity cell may be configured to inform the gNB 104 hosting a coverage cell and its other neighbours , such as the gNB 106 , about the changed cell state to the intermediate energy saving state .
  • the gNB 102 may be configured to send a NG-RAN node configuration update message indicating a cell state of the gNB 102 .
  • the gNB 104 hosting a coverage cell may be configured to initiate measurement collection towards the gNB 102 hosting a capacity cell .
  • the gNB 104 hosting a coverage cell may be configured to configure one or more UEs 110 selected for a handover (HO) for the measurements .
  • the configuration may comprise frequencies to be measured by the UE(s) 110.
  • the one or more UEs 110 may measure the configured frequencies comprising the cell (s) (at gNB 102) activated in the measurement-only or measurement and prediction mode.
  • the one or more UEs 110 may be configured to report the measurements to the gNB 104 hosting a coverage cell.
  • the reported measurements may comprise one or more measurements associated to radio resource management.
  • the gNB 104 hosting a coverage cell may be configured to send an information request to the gNB 102 hosting a capacity cell.
  • the request may comprise necessary input data to allow the gNB 102 make predictions for one or more measurements.
  • the input data may comprise measurements received from the UE 110.
  • the gNB 102 hosting a capacity cell may be configured to calculate the predictions based on the received measurements.
  • the gNB 102 hosting a capacity cell may perform data volume prediction of the UE(s) to be handed over to a new cell.
  • the predictions may be performed based on a ML interference.
  • the gNB 102 hosting a capacity cell may be configured to send the calculated predictions to the gNB 104 hosting a coverage cell.
  • the gNB 104 hosting a coverage cell may be configured to perform the predictions.
  • the gNB 104 hosting a coverage cell may be configured to evaluate cost metrics based on the predictions. Further, based on the cost metrics evaluation, the gNB 104 hosting a coverage cell may be configured to decide if it needs to perform cost metrics evaluation in other combinations of cell (s) and beam(s) . [00115] At 500, the gNB 104 hosting a coverage cell may be configured to request an updated configuration from the gNB 102 hosting a capacity cell. As described with reference to FIGS.
  • the configuration may be updated through a data collection reconfiguration procedure or by re-using a data collection procedure with an introduction of an update IE to indicate changes in the configuration, e.g., with respect to timing information, new measurements, new set of UEs, etc.
  • the gNB 102 hosting a capacity cell may be configured to respond back to the requesting node with a confirmation regarding its updated measurement configuration .
  • the gNB hosting a coverage cell can be configured to again send an information request for a prediction of a certain measurement from the gNB 102 hosting a capacity cell.
  • the prediction may comprise, for example, predicted energy consumption, predicted energy efficiency, predicted resource status utilization or predicted average UE performance, or the like.
  • the gNB 102 hosting a capacity cell may be configured to send the predicted information back to the gNB 104 hosting a coverage cell for the cost metrics evaluation 912.
  • the operations 500, 504, 800, 804 and 912 may be configured to be repeated for each combination of cells/beams that can be activated and which the gNB 102 hosting a coverage cell wants to evaluate.
  • the gNB 104 hosting a coverage cell may be configured to identify resources needed to be activated, e.g., cells or beams within the predicted cells.
  • the gNB 104 hosting a coverage cell may be configured to proceed to activate one or more of the cells or beams of the capacity cell after the gNB 104 hosting a coverage cell has evaluated an optimal cell-activation at the neighbour node.
  • the cells/beams to be activated may be selected based on evaluated cost metrics at 912 such that the cost may be minimized.
  • the gNB 102 hosting a capacity cell may be configured to inform its other neighbours (than the gNB 104) about the cell state change to activated mode, i.e., a normal mode of operation.
  • the neighbour nodes may be informed, for example, via the NG-RAN node configuration update procedure.
  • FIG. 10 illustrates an example of a cell deactivation procedure according to an example embodiment.
  • a node such as a gNB 102 hosting a capacity cell
  • the gNB 102 hosting a capacity cell may be configured to decide to de-activate one or more cells or beams.
  • the gNB 102 hosting a capacity cell may be configured to change the mode of operation of the cell ( s ) /beam ( s ) to be deactivated as per a received configuration.
  • the configuration may comprise indication of the intermediate energy saving state in which the cell ( s ) /beams ( s ) are to be activated, a start time for the activation and/or a duration for the activation.
  • the gNB 102 hosting a capacity cell may be configured to inform one or more neighbour gNB(s) about the cell state change.
  • the neighbour gNBs may comprise, for example, a gNB 104 hosting a coverage cell and one or more other gNBs 106.
  • One or more of the notified neighbour (s) may be then configured to initiate measurements to current served UEs 110 at 902.
  • the currently served UEs 110 may measure configured frequencies and, at 906 , report the measurements to the respective gNBs which initiated the measurements .
  • the gNB 104 hosting a coverage cell may be configured to send an information request to the gNB 102 hosting a capacity cell providing necessary input data to make predictions .
  • the input data may comprise , for example , the measurements received from the one or mroe UEs 110 .
  • the gNB 102 hosting a capacity cell may be configured to perform the requested predictions .
  • the predictions may be obtained based on a ML model interference .
  • the gNB 102 hosting a capacity cell may be configured to send an information response comprising the requested predictions to the gNB 104 hosting a coverage cell .
  • the gNB 104 hosting a coverage cell may be configured to provide recommendation to the gNB 102 hosting a capacity cell whether cell de-activation will result on overall performance gains or not .
  • the decision on the recommendation may be based on evaluation of cost metrics performed by the gNB 104 hosting a coverage node , at 912 .
  • the metrics evaluation for cost and/or gain at operations 912 may be performed as follows .
  • second node e . g . , gNB 104
  • the input data may be collected from the one or more cells/beams that are activated in the respective mode .
  • UE measurements may signi fy at least one of reference signal received power, reference signal received quality and/or signal interference and noise ratio measurements which are measured and reported by the UE (e.g., UE 110) .
  • some of the input data may be retrieved from the node collecting the measurements itself.
  • data volume may signify the amount of UE traffic for UE(s) which a serving node wishes to offload if the cells/beams are activated.
  • the first node may be configured to perform predicted metric calculation based on the received input data.
  • the second node sending the input data may be configured to request the first node in the measurement and prediction mode to perform at least one of the following predictions:
  • Predicted resource status utilization related metrics such as physical resource block (PRB) usage.
  • the resource status utilization related metric may be predicted at least one of per cell, per synchronization signal block (SSB) area, and/or per S-NSSAI (single network slice selection assistance information) per cell .
  • Predicted average UE performance related to handed over UE(s) may refer to at least one of throughput, delay or QoE .
  • the predictions may be focused on at least one of network resource (cell/beam) impacts or how the UE performance may be impacted.
  • Cost of serving UE(s) may be evaluated using the one or more predictions. For example, the cost may be measured in terms of PRB utilized for a set of candidate UEs likely to be offloaded.
  • the serving node may be configured to calculate a delta between utilization in the serving node and predicted utilization from the other node. If the delta is positive, it may indicate a relative improvement. If the delta is negative, it may indicate a relative degradation .
  • the requesting node may evaluate a reward. For example, if the predicted PRB utilization is Y PRBs, then if Y is less than X, it may be considered as a positive reward. If Y is greater than X, it may be considered as a negative reward.
  • PRB utilization in the serving node may be 100 PRBs.
  • PRB utilization predicted by the other node in the measurement and prediction mode may be 50 PRBs. Based on the cost evaluation, a reward may be +50% (100PRB- 50PRB/100PRB) . If the predicted PRB was 150 PRB, the reward may be evaluated to be -50% (100PRB- 150PRB/100PRB) .
  • a node may comprise multiple cells. Each cell may comprise multiple beams.
  • a cost evaluation for one or more metrics may enable selection of a best combination of the cells/beams.
  • FIG. 11 illustrates a table 1100 of possible combinations for a node comprising two cells with each cell having three beams according to an example embodiment.
  • the first cell may be activated, and the second cell may be deactivated.
  • the first cell may be activated with only one beam, and the second cel l may be de-activated .
  • the first cel l may be activated with two beams , and the second cel l may be de-activated .
  • the first cell may be activated with the three beams , and the second cell maybe de-activated .
  • the first cell may be de-activated, and the second cell may be activated .
  • the first cell may be de-activated, and the second cell may be activated with only one beam .
  • the first cell may be de-activated, and the second cell may be activated with two beams .
  • the first cell may be de-activated, and the second cell may be with three beams .
  • both the first and the second cell may be activated (without beams ) .
  • the first node may be activated in one of the combinations that is considered optimal by the second node which performed the cost evaluation .
  • the second node may be configured to activate the cells/beams in the measurement and prediction mode , collect measurements , make or obtain predictions and obtain evaluations iteratively in di f ferent combinations so that in the end the second node may be able to choose the combination for the first node that minimi zes a cost ( or maximi zes a reward) .
  • FIG . 12 illustrates an example of a method for assisting in data collection before a transition between an energy saving state and a normal state of one or more cells or beams .
  • the method may be performed, for example , by a node hosting a capacity cell .
  • the method may comprise obtaining, from a node hosting a coverage cell , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node .
  • the method may comprise activating one or more cells or beams in the intermediate energy saving state based on the instructions .
  • FIG . 13 illustrates an example of a method for enabling data collection be fore a transition between an energy saving state and a normal state of one or more cells or beams .
  • the method may be performed, for example , by a node hosting a coverage cell .
  • the method may comprise providing, to a node hosting a capacity cell , instructions to activate at least one cell or beam in an intermediate energy saving state before a transition between an energy saving state and a normal state is performed, wherein the at least one cell or beam is configured for at least one of transmitting reference signals or provide predictions on measurements obtained based on the reference signals without providing a connection to a user node .
  • An apparatus for example a network node , a user node or a client node , may be configured to perform or cause performance of any aspect of the method ( s ) described herein.
  • a computer program may comprise instructions for causing, when executed, an apparatus to perform any aspect of the method (s) described herein.
  • an apparatus may comprise means for performing any aspect of the method (s) described herein.
  • the means comprises at least one processor, and memory including program code, the at one memory and the program code configured to, when executed by the at least one processor, cause performance of any aspect of the method ( s ) .
  • subjects may be referred to as 'first' or 'second' subjects, this does not necessarily indicate any order or importance of the subjects. Instead, such attributes may be used solely for the purpose of making a difference between subjects.
  • circuitry' may refer to one or more or all of the following: (a) hardware-only circuit implementations (such as implementations in only analog and/or digital circuitry) and (b) combinations of hardware circuits and software, such as (as applicable) : (i) a combination of analog and/or digital hardware circuit (s) with software/ firmware and (ii) any portions of hardware processor (s) with software (including digital signal processor ( s ) ) , software, and memory (ies) that work together to cause an apparatus, such as a mobile phone or server, to perform various functions) and (c) hardware circuit (s) and or processor ( s ) , such as a microprocessor ( s ) or a portion of a microprocessor ( s ) , that requires software (e.g., firmware) for operation, but the software may not be present when it is not needed for operation.
  • This definition of circuitry applies to all uses o f this term in this application, including in any claims
  • circuitry also covers an implementation of merely a hardware circuit or processor ( or multiple processors ) or portion of a hardware circuit or processor and its ( or their ) accompanying software and/or firmware .
  • circuitry also covers , for example and i f applicable to the particular claim element , a baseband integrated circuit or processor integrated circuit for a mobi le device or a simi lar integrated circuit in server, a cellular network device , or other computing or network device .

Landscapes

  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

Des modes de réalisation donnés à titre d'exemple fournissent un mode de fonctionnement à économie d'énergie intermédiaire pour des nœuds de réseau. Un appareil est configuré pour obtenir, en provenance d'au moins un nœud hébergeant une cellule de couverture, des instructions pour activer au moins une cellule ou un faisceau dans un état d'économie d'énergie intermédiaire avant qu'une transition entre un état d'économie d'énergie et un état normal soit effectuée, dans lequel la ou les cellules sont configurées ou le ou les faisceaux sont configurés pour transmettre des signaux de référence et/ou fournir des prédictions sur des mesurages obtenus sur la base des signaux de référence sans fournir une connexion à un nœud utilisateur ; et activer une ou plusieurs cellules ou un ou plusieurs faisceaux dans l'état d'économie d'énergie intermédiaire sur la base des instructions. Des appareils, des procédés et des programmes d'ordinateur sont divulgués.
PCT/EP2024/057233 2023-05-12 2024-03-19 Appareils et procédés pour une d'opération d'économie d'énergie de nœuds de réseau Pending WO2024235502A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202480031663.1A CN121176101A (zh) 2023-05-12 2024-03-19 用于网络节点的节能操作的装置和方法

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
IN202341033555 2023-05-12
IN202341033555 2023-05-12

Publications (1)

Publication Number Publication Date
WO2024235502A1 true WO2024235502A1 (fr) 2024-11-21

Family

ID=90417617

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/EP2024/057233 Pending WO2024235502A1 (fr) 2023-05-12 2024-03-19 Appareils et procédés pour une d'opération d'économie d'énergie de nœuds de réseau

Country Status (2)

Country Link
CN (1) CN121176101A (fr)
WO (1) WO2024235502A1 (fr)

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110044284A1 (en) * 2009-08-18 2011-02-24 Elena Voltolina Energy-Saving Mechanisms in a Heterogeneous Radio Communication Network
US20130148558A1 (en) * 2011-12-12 2013-06-13 Qualcomm Incorporated Low power node dormant state

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110044284A1 (en) * 2009-08-18 2011-02-24 Elena Voltolina Energy-Saving Mechanisms in a Heterogeneous Radio Communication Network
US20130148558A1 (en) * 2011-12-12 2013-06-13 Qualcomm Incorporated Low power node dormant state

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
MEDIATEK INC: "NW energy savings performance evaluation", vol. RAN WG1, no. e-Meeting; 20220509 - 20220520, 29 April 2022 (2022-04-29), XP052191621, Retrieved from the Internet <URL:https://ftp.3gpp.org/tsg_ran/WG1_RL1/TSGR1_109-e/Docs/R1-2204686.zip R1-2204686 Energy savings performance evaluation_final.docx> [retrieved on 20220429] *

Also Published As

Publication number Publication date
CN121176101A (zh) 2025-12-19

Similar Documents

Publication Publication Date Title
TWI748392B (zh) 用於無線電資源管理測量與測量配置之電子裝置和方法
CN110831079B (zh) 通信切换方法及装置
KR102875448B1 (ko) Ue 절전을 위한 방법
CN110063069B (zh) 多载波网络中的切换过程
WO2019218990A1 (fr) Procédé et appareil de transfert intercellulaire
US9565628B2 (en) Energy saving functionality for small cells in E-UTRA and E-UTRAN
US9344941B2 (en) Autonomous cell reselection by a user equipment
CN111432420A (zh) 无线通信系统中的电子设备以及进行移动性测量的方法
US12219410B2 (en) Message sending method and apparatus, message receiving method and apparatus, and device and storage medium
CN113950110A (zh) Uu路径到直接通信路径的切换及候选中继UE指示方法、装置、存储介质、终端、基站
US20210385718A1 (en) Load balancing method and device
WO2022209234A1 (fr) Nœud ran, ue et procédé
WO2021019680A1 (fr) Terminal, station de base, et procédé de communication sans fil
WO2017084005A1 (fr) Procédé d&#39;envoi de rapport de mesure de cellule et équipement utilisateur
CN110611901A (zh) 一种重选Relay UE的方法和设备
CN109479218B (zh) 通信切换方法、用户设备及基站
Huang et al. A handover scheme for LTE wireless networks under the assistance of GPS
JP5534617B2 (ja) 移動通信システムにおける移動ネットワークの運営方法及び装置
WO2020132904A1 (fr) Dispositif et procédé de mesure de qualité de signal, et terminal
WO2012127600A1 (fr) Station de base sans fil, système de communication sans fil, procédé de commande de communication et terminal sans fil
WO2024235502A1 (fr) Appareils et procédés pour une d&#39;opération d&#39;économie d&#39;énergie de nœuds de réseau
WO2025082063A1 (fr) Procédé et appareil de communication
CN107318124A (zh) 一种小区切换方法及装置
CN106688269B (zh) 用于确定无线设备是否是由于负载平衡原因而切换到目标小区的合适候选者的无线电网络节点和方法
CN108174422A (zh) 高低频切换方法、配置终端的方法及装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 24713441

Country of ref document: EP

Kind code of ref document: A1