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WO2018142020A1 - Procédure améliorée de mesure d'indicateur de qualité de canal (cqi) pour une urllc - Google Patents

Procédure améliorée de mesure d'indicateur de qualité de canal (cqi) pour une urllc Download PDF

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Publication number
WO2018142020A1
WO2018142020A1 PCT/FI2018/050030 FI2018050030W WO2018142020A1 WO 2018142020 A1 WO2018142020 A1 WO 2018142020A1 FI 2018050030 W FI2018050030 W FI 2018050030W WO 2018142020 A1 WO2018142020 A1 WO 2018142020A1
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WO
WIPO (PCT)
Prior art keywords
value
channel quality
configuration
quality measurements
user equipment
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Ceased
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PCT/FI2018/050030
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English (en)
Inventor
Guillermo POCOVI
Klaus Pedersen
Jens Steiner
Beatriz SORET
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Nokia Technologies Oy
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Nokia Technologies Oy
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Priority to JP2019541424A priority Critical patent/JP6811333B2/ja
Priority to EP18748717.8A priority patent/EP3577811A4/fr
Publication of WO2018142020A1 publication Critical patent/WO2018142020A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0053—Allocation of signalling, i.e. of overhead other than pilot signals
    • H04L5/0057—Physical resource allocation for CQI
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/0001—Systems modifying transmission characteristics according to link quality, e.g. power backoff
    • H04L1/0023—Systems modifying transmission characteristics according to link quality, e.g. power backoff characterised by the signalling
    • H04L1/0026—Transmission of channel quality indication
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0053—Allocation of signalling, i.e. of overhead other than pilot signals
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/02—Channels characterised by the type of signal
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/1607—Details of the supervisory signal
    • H04L1/1671—Details of the supervisory signal the supervisory signal being transmitted together with control information
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L1/00—Arrangements for detecting or preventing errors in the information received
    • H04L1/12—Arrangements for detecting or preventing errors in the information received by using return channel
    • H04L1/16—Arrangements for detecting or preventing errors in the information received by using return channel in which the return channel carries supervisory signals, e.g. repetition request signals
    • H04L1/18—Automatic repetition systems, e.g. Van Duuren systems
    • H04L1/1867—Arrangements specially adapted for the transmitter end

Definitions

  • CQI Channel Quality Indicator
  • This invention relates generally to wireless networks and, more specifically, relates to channel quality indicator (CQI) measurement and reporting procedure, link adaptation (LA), and support of ultra-reliable low-latency communications (URLLC) in radio systems.
  • CQI channel quality indicator
  • LA link adaptation
  • URLLC ultra-reliable low-latency communications
  • Ultra-Reliable Low-Latency Communications is currently a popular topic in 5G New radio (NR) standardization activities. Future 5G NR networks must be able to deliver a (relatively small) packet successfully with a maximum latency of 1 ms, and probability of success of up to 10 "5 (or 99.999%). There are use cases of ultra-reliable communication also for other latency targets (such as 5 ms and 10 ms for example).
  • a method includes performing, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index; estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements; and transmitting, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value.
  • the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index
  • MCS modulation and coding scheme
  • An additional example of an embodiment includes a computer program, comprising code for performing the method of the previous paragraph, when the computer program is run on a processor.
  • An example of an apparatus includes one or more processors and one or more memories including computer program code.
  • the one or more memories and the computer program code are configured to, with the one or more processors, cause the apparatus to at least: perform, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index; estimate a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements; and transmit, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value.
  • BLEP average block-error probability
  • MCS modulation and coding scheme
  • an apparatus comprises means for performing, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index; means for estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements; and means for transmitting, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value.
  • the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index
  • MCS modulation and coding scheme
  • a method includes determining, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), wherein the configuration comprises at least an indication of the number of channel quality measurements to be performed and a set comprising at least one processing value; transmitting, from the base station to the user equipment, the configuration; and receiving, from the user equipment, an indication of the estimated MCS value for each processing value in the set.
  • MCS modulation and coding scheme
  • An additional example of an embodiment includes a computer program, comprising code for performing the method of the previous paragraph, when the computer program is run on a processor.
  • An example of an apparatus includes one or more processors and one or more memories including computer program code.
  • the one or more memories and the computer program code are configured to, with the one or more processors, cause the apparatus to perform at least the following: determine, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), wherein the configuration comprises at least an indication of the number of channel quality measurements to be performed and a set comprising at least one processing value; transmit, from the base station to the user equipment, the configuration; and receive, from the user equipment, an indication of the estimated MCS value for each processing value in the set.
  • MCS modulation and coding scheme
  • an apparatus comprises means for determining, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), wherein the configuration comprises at least an indication of the number of channel quality measurements to be performed and a set comprising at least one processing value; means for transmitting, from the base station to the user equipment, the configuration; and means for receiving, from the user equipment, an indication of the estimated MCS value for each processing value in the set.
  • MCS modulation and coding scheme
  • FIG. 1 is a block diagram of one possible and non-limiting exemplary system
  • FIG. 2 is a graph showing an example time trace of physical resource block (PRB) allocation for a cell
  • FIG. 3A illustrates an example look-up table in accordance with example embodiments
  • FIG. 3B illustrates a mapping of a set of curves corresponding to different modulation and coding schemes
  • FIG. 4 illustrates a measurement procedure and processing in accordance with an example embodiment
  • FIG. 5 illustrates an example operation and signaling procedure according to an example embodiment
  • FIG. 6 illustrates another example operation and signaling procedure according to an example embodiment
  • FIG. 7 illustrates a non-limiting example message for configuring Channel Quality Indicator (CQI) reporting according to an example embodiment
  • FIGS. 8-9 are a logic flow diagram for enhanced CQI measurement procedure for URLLC, and illustrate the operation of exemplary methods, a result of execution of computer program instructions embodied on a computer readable memory, functions performed by logic implemented in hardware, and/or interconnected means for performing functions in accordance with exemplary embodiments.
  • LTE Long Term Evolution
  • 5G NR wireless networks
  • LTE term 'eNB' is equally applicable to a 5G base station (commonly referred to as a 'gNB') for the purposes of the description below.
  • a base station in, e.g., an LTE network selects downlink transmission parameters, referred to as the modulation and coding scheme (MCS), for downlink transmissions.
  • MCS modulation and coding scheme
  • the base station selects the MCS based on predicted downlink channel conditions.
  • Channel Quality Indicator (CQI) feedback transmitted by a user equipment is used to help determine these predicted downlink channel conditions.
  • CQI Channel Quality Indicator
  • the CQI corresponds to the highest supported MCS that the UE estimates it can decode with an average block-error probability (BLEP) no larger than 10%.
  • BLEP average block-error probability
  • the base station can optimize system capacity and coverage by adjusting the MCS for each user equipment depending on the CQI feedback. This is commonly referred to as Link Adaptation (LA).
  • LA Link Adaptation
  • some example embodiments relate to measurement and reporting framework of the channel quality feedback that allows accurate and flexible LA for URLLC use cases.
  • LA plays an important role in satisfying the URLLC stringent requirements (such as those mentioned in the background above) since it involves selecting an appropriate MCS such that it achieves a sufficiently low BLEP.
  • URLLC requirements are typically associated with transmission of small packets with low latency and 1-10 "5 probability of success.
  • the BLEP that each URLLC payload transmission needs to fulfill is not necessarily 10 "5 but can be higher if the associated latency budget allows one or more HARQ retransmissions.
  • FIG. 2 shows an example graph 200 of a time trace of a cell activity (obtained from system-level simulations) serving a set of URLLC users.
  • the x-axis of graph 200 corresponds to the TTI index and the y-axis corresponds to the physical resource block (PRB) index.
  • the graph 200 includes a number of shaded blocks, where each shade identifies a different UE which is served in the downlink direction.
  • the PRB activity is a time-variant random process, which causes the experienced signal-to-interference-plus-noise ratio (SINR) at the different UEs to be highly time-variant.
  • SINR signal-to-interference-plus-noise ratio
  • Document [1] presents an algorithm to select an optimal set of MCS to fulfill a certain reliability constraint, assuming one retransmission is allowed. However, no details are provided on what information is required at either the cell or UE to perform accurate BLEP-MCS mapping, or how to deal with the channel variations and outdated CQI.
  • Document [2] defines the CQI feedback defined for an average block error rate (BLER) of 10 "1 (10%). The UE estimates the CQI based on mean effective SINR measurements with a certain PRB resolution (a.k.a. sub-band). Lower (or higher) BLER is generally achieved by use of proprietary eNB outer loop link adaptation (OLLA) mechanisms, such as the one presented in Document [3] .
  • OLLA eNB outer loop link adaptation
  • CQI Channel Quality Indicator
  • FIG. 1 shows a block diagram of one possible and non- limiting exemplary system in which example embodiments may be practiced.
  • a user equipment (UE) 1 10 is in wireless communication with a wireless network 100.
  • a UE is a wireless, typically mobile device that can access a wireless network.
  • the UE 1 10 includes one or more processors 120, one or more memories 125, and one or more transceivers 130 interconnected through one or more buses 127.
  • Each of the one or more transceivers 130 includes a receiver, Rx, 132 and a transmitter, Tx, 133.
  • the one or more buses 127 may be address, data, or control buses, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, fiber optics or other optical communication equipment, and the like.
  • the one or more transceivers 130 are connected to one or more antennas 128.
  • the one or more memories 125 include computer program code 123.
  • the UE 1 10 includes a feedback module, comprising one of or both parts 140-1 and/or 140-2, which may be implemented in a number of ways.
  • the feedback module may be implemented in hardware as feedback module 140- 1 , such as being implemented as part of the one or more processors 120.
  • the feedback module 140-1 may be implemented also as an integrated circuit or through other hardware such as a programmable gate array.
  • the feedback module may be implemented as feedback module 140-2, which is implemented as computer program code 123 and is executed by the one or more processors 120.
  • the one or more memories 125 and the computer program code 123 may be configured to, with the one or more processors 120, cause the user equipment 1 10 to perform one or more of the operations as described herein.
  • the UE 1 10 communicates with eNB 170 via a wireless link 11 1.
  • the eNB (evolved NodeB) 170 is a base station (e.g., for LTE, long term evolution) that provides access by wireless devices such as the UE 1 10 to the wireless network 100.
  • the eNB 170 includes one or more processors 152, one or more memories 155, one or more network interfaces (N/W I/F(s)) 161 , and one or more transceivers 160 interconnected through one or more buses 157.
  • Each of the one or more transceivers 160 includes a receiver, Rx, 162 and a transmitter, Tx, 163.
  • the one or more transceivers 160 are connected to one or more antennas 158.
  • the one or more memories 155 include computer program code 153.
  • the eNB 170 includes an adaptation module, comprising one of or both parts 150-1 and/or 150-2, which may be implemented in a number of ways.
  • the adaptation module may be implemented in hardware as adaptation module 150-1 , such as being implemented as part of the one or more processors 152.
  • the adaptation module 150-1 may be implemented also as an integrated circuit or through other hardware such as a programmable gate array.
  • the adaptation module 150 may be implemented as adaptation module 150-2, which is implemented as computer program code 153 and is executed by the one or more processors 152.
  • the one or more memories 155 and the computer program code 153 are configured to, with the one or more processors 152, cause the eNB 170 to perform one or more of the operations as described herein.
  • the one or more network interfaces 161 communicate over a network such as via the links 176 and 131.
  • Two or more eNBs 170 communicate using, e.g., link 176.
  • the link 176 may be wired or wireless or both and may implement, e.g., an X2 interface.
  • the one or more buses 157 may be address, data, or control buses, and may include any interconnection mechanism, such as a series of lines on a motherboard or integrated circuit, fiber optics or other optical communication equipment, wireless channels, and the like.
  • the one or more transceivers 160 may be implemented as a remote radio head (RRH) 195, with the other elements of the eNB 170 being physically in a different location from the RRH, and the one or more buses 157 could be implemented in part as fiber optic cable to connect the other elements of the eNB 170 to the RRH 195.
  • RRH remote radio head
  • each cell can correspond to a single carrier and an eNB may use multiple carriers. So, if there are three 120 degree cells per carrier and two carriers, then the eNB has a total of 6 cells.
  • the wireless network 100 may include one or more network control elements (NCE) 190 that may include MME (Mobility Management Entity) and/or SGW (Serving Gateway) functionality, and which provides connectivity with a further network, such as a telephone network and/or a data communications network (e.g., the Internet).
  • the eNB 170 is coupled via a link 131 to the NCE 190.
  • the link 131 may be implemented as, e.g., an S I interface.
  • the NCE 190 includes one or more processors 175, one or more memories 171 , and one or more network interfaces (N/W I/F(s)) 180, interconnected through one or more buses 185.
  • the one or more memories 171 include computer program code 173.
  • the one or more memories 171 and the computer program code 173 are configured to, with the one or more processors 175, cause the NCE 190 to perform one or more operations.
  • the wireless network 100 may implement network virtualization, which is the process of combining hardware and software network resources and network functionality into a single, software-based administrative entity, a virtual network.
  • Network virtualization involves platform virtualization, often combined with resource virtualization.
  • Network virtualization is categorized as either external, combining many networks, or parts of networks, into a virtual unit, or internal, providing network- like functionality to software containers on a single system. Note that the virtualized entities that result from the network virtualization are still implemented, at some level, using hardware such as processors 152 or 175 and memories 155 and 171 , and also such virtualized entities create technical effects.
  • the computer readable memories 125, 155, and 171 may be of any type suitable to the local technical environment and may be implemented using any suitable data storage technology, such as semiconductor based memory devices, flash memory, magnetic memory devices and systems, optical memory devices and systems, fixed memory and removable memory.
  • the computer readable memories 125, 155, and 171 may be means for performing storage functions.
  • the processors 120, 152, and 175 may be of any type suitable to the local technical environment, and may include one or more of general purpose computers, special purpose computers, microprocessors, digital signal processors (DSPs) and processors based on a multi-core processor architecture, as non- limiting examples.
  • the processors 120, 152, and 175 may be means for performing functions, such as controlling the UE 1 10, eNB 170, and other functions as described herein.
  • the various embodiments of the user equipment 1 10 can include, but are not limited to, cellular telephones such as smart phones, tablets, personal digital assistants (PDAs) having wireless communication capabilities, portable computers having wireless communication capabilities, image capture devices such as digital cameras having wireless communication capabilities, gaming devices having wireless communication capabilities, music storage and playback appliances having wireless communication capabilities, Internet appliances permitting wireless Internet access and browsing, tablets with wireless communication capabilities, as well as portable units or terminals that incorporate combinations of such functions.
  • PDAs personal digital assistants
  • portable computers having wireless communication capabilities
  • image capture devices such as digital cameras having wireless communication capabilities
  • gaming devices having wireless communication capabilities
  • music storage and playback appliances having wireless communication capabilities
  • Internet appliances permitting wireless Internet access and browsing, tablets with wireless communication capabilities, as well as portable units or terminals that incorporate combinations of such functions.
  • An eNB configures a UE to measure downlink experienced channel quality on a grid of N time-domain resources and M frequency domain resources.
  • the eNB also configures the UE to report a CQI value that at maximum will result in BLEP of X% if the eNB transmits with MCS corresponding to the index of CQI.
  • the configuration in this step is performed by the network (e.g. eNB) and the number of measurement samples is based on the grid of resources.
  • the channel quality can, for example, be measured as the experienced SINR by the UE.
  • each time-domain resource may correspond to the duration of a mini-slot or slot, and each frequency domain resource may consist of one PRB, or a group of PRBs (also known as a subband).
  • each time-domain resource may correspond to one short TTI (sTTI), slot, or subframe.
  • sTTI short TTI
  • the values of N, M, and X may be configured from the network for the UE via higher layer signaling such as by RRC signaling for example.
  • the measurement of the experienced channel quality can be performed as a moving window, such that the measurement samples represent the most recent K measurement samples that are used for determining the CQI that is subsequently reported to the eNB, as described in steps 3 and 4 below.
  • the UE sorts the K measurement samples of its experienced channel quality, and uses these measurement samples to build an empirical sample distribution of the experienced channel quality.
  • SINR experienced channel quality
  • the UE may utilize a look-up table, such as an internal look-up table, to determine the highest supported MCS for an SINR value of SINR outage that it can decode with a BLEP no higher than X%.
  • this look-up table comprises BLEP versus SINR for the supported MCSs (or at least MCSs that can be reported as part of the CQI).
  • a non-limiting example lookup table is shown in FIG. 3 A, where the example look-up table includes three columns, namely, a column for BLEP values; a column for ranges of SINR values; and a column for different MCSs.
  • Another non-limiting example is a look-up table that includes a set of curves for the BLEP versus SINR, where each curve corresponds to a supported MCS that may be signaled back to the eNB as part of the CQI report.
  • An example is shown in FIG. 3B which illustrates a graph of BLEP versus SINR values for a set of curves corresponding to different MCSs.
  • the lookup tables in FIGS. 3 A and 3B are merely examples, and not intended to be limiting.
  • Such SINR to BLEP tables for the different MCSs may be obtained from extensive link level simulations by the UE modem vendor which reflect the performance of the UE for different MCSs.
  • the table may include points down to fairly low BLEP values, including but not limited to the points only for 10% BLEP as is sufficient for the current LTE CQI schemes.
  • the set curves (e.g. tabular values) for MCS may differ, for example, by one dB in performance which corresponds to certain quantization, i.e., corresponding to the SINR to CQI mapping.
  • mapping the SINR to CQI may be performed prior to determining the empirical X%-ile of the quantized values.
  • the above-described steps allow, e.g., the eNB to transmit its small URLLC payload to the UE with the MCS corresponding to the latest received CQI from the UE, with ensuring that the experienced BLEP of the transmission will not exceed X%.
  • the UE experienced channel quality is a wide sense stationary process, which maintains the same statistical properties for the observed NxM samples, also for the next short-term window counting for the time it takes for the UE to complete steps 3 and 4, as well as the potential eNB delays before the eNB schedule a new URLLC transmission to the UE, following the received CQI.
  • FIG. 4 shows a simplified illustration of an example measurement procedure and processing in accordance with example embodiments.
  • FIG. 4 includes a heatmap 302 showing the experienced channel quality (SINR) performed by a user equipment.
  • SINR experienced channel quality
  • Each block in the heatmap 302 corresponds to a radio resource and the different shaded regions in the heatmap 302 represent different values of SINR as indicated by legend 304.
  • the user equipment measures SINR for NxM measurement samples as shown by arrows 306, 308. These samples are then processed, as shown by arrow 310, to create an empirical sample distribution 312.
  • the identification of the outage value may be based on an internal lookup table of the UE.
  • Q may be configured by the eNB as part of step 1 above. This may be particularly useful for cases where the number of K samples is insufficient to reliably determine the SINR value at the X% outage.
  • the UE may report CQI that essentially corresponds to the X-percentile outage of the UE's experienced channel quality that expresses the MCS that the eNB shall use to fulfil latency requirements, such as the 5G URLCC requirements for example.
  • the eNB (e.g. eNB 170) transmits an RRC configuration to the UE (e.g. UE 1 10) which includes at least one BLEP constraint and an indication of resources to be measured.
  • the indication of resources is denoted N and M corresponding to N time-domain resources and M frequency domain resources to be measured, respectively.
  • the UE collects a number, K, of channel quality measurement samples corresponding to the NxM radio resources.
  • the UE sorts the measurement samples, and at 408 the UE reads each of the BLEP constraints to estimate a corresponding MCS.
  • the UE transmits a set of the estimated MCSs to the eNB, namely, ⁇ MCS ⁇ , MCSi, MCS S ⁇ .
  • the UE may be configured to repeat steps 404-406 if the UE is configured for periodic CQI reporting.
  • the UE performed channel measures over the time duration, N, and frequency resolution, M, to collect a number, K, of measurements. The UE only keeps the lowest Q ⁇ , Qi ,.
  • the UE transmits a set of the estimated MCSs to the eNB, namely, ⁇ MCS ⁇ , MCSi ,. .. , GSj ⁇ .
  • the UE may be configured to repeat steps 504-506 if the UE is configured for periodic CQI reporting.
  • the eNB to UE RRC configuration is now further described with reference to a non- limiting 5G NR example.
  • 5G NR 5G NR example.
  • this figure shows a non-limiting example message 700 for configuring Channel Quality Indicator (CQI) reporting according to an example embodiment.
  • the message 700 may be transmitted used by the eNB to configure the UE for CQI reporting.
  • the message 700 in this example is a periodic CQI reporting message as defined in LTE Release 8 (i.e. 3GPPP 36.331 , "Radio resource control"), where the CQI is configured as part of the RRC configuration process (RRC Connection Setup or RRC Connection Reconfiguration).
  • the underlined portion of the message 700 shows the additional information that may be used for configuring the UE for the CQI reporting.
  • the targetBLEP parameter may be used, for example, in the process described with reference to FIG. 5 above.
  • Q is a sequence of integers between 1 and 99 which enables, for example, the process described with reference to FIG. 6 above.
  • the N and M parameters in message 700 are the amount of time-domain and frequency-domain resources to be monitored, respectively.
  • the message 700 may include targetBLEP and/or the Q parameter.
  • the UE sends a CQI report from the UE to eNB.
  • This CQI may be included as part of the UE channel state information (CSI) report.
  • the CSI report is sent to the eNB in the LTE PUCCH.
  • Different formats are defined to support normal or extended cyclic prefix, multiplexing or not with 1 or 2 - bit HARQ-ACK, etc. (see, e.g. 3GPP 36.213).
  • New formats for supporting enhanced CQI may be defined.
  • the maximum length for the CSI report is 21 bits, corresponding to format 3 for TDD with up to 5 CCs.
  • Format 4 and 5 have been defined with a larger message.
  • the support of enhanced CQI for URLLC requires a larger message size, and therefore a new format, since multiple CQI values may be reported in a single message.
  • the processes described above may be applied for both periodic and aperiodic CQI feedback report.
  • the delay between the CQI request and CQI report can be reduced if the UE continuously monitors and collects channel quality measurements.
  • the UE may determine the CQI based on the N most recent measurements.
  • the recording window length N is configured to be large enough to provide a relatively good level of accuracy to the percentiles of interest. This is especially relevant for URLLC use cases, where information up to the 10 -5 percentile can be required.
  • the recording window length can also be adjusted in accordance to the channel properties, e.g. coherence, variance, stationarity, etc.
  • coherence e.g. coherence
  • variance e.g., stationarity
  • One challenge with this option is that many individual values are needed to have reliable measures of low percentiles, and sorting as such is an expensive operation. These issues may be addressed by using tree structures, and every time new individual values are available, they can be inserted, after removing any obsolete values. Pointers to all the individual values may be kept in a ring buffer to have pointers to obsolete values.
  • a "biased" IIR filter is applied to each of the channel quality measurements y(t) as follows: l - f up ) ⁇ E b (t - 1) + f up ⁇ y(t) if (t) ⁇ E b t
  • FIG. 8 is a logic flow diagram for enhanced Channel Quality Indicator (CQI) measurement procedure for URLLC.
  • CQI Channel Quality Indicator
  • This figure further illustrates the operation of an exemplary method or methods, a result of execution of computer program instructions embodied on a computer readable memory, functions performed by logic implemented in hardware, and/or interconnected means for performing functions in accordance with exemplary embodiments.
  • the feedback module 140-1 and/or 140-2 may include multiples ones of the blocks in FIG. 8, where each included block is an interconnected means for performing the function in the block.
  • the blocks in FIG. 8 are assumed to be performed by the UE 110, e.g., under control of the feedback module 140-1 and/or 140-2 at least in part.
  • a method comprising: performing, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position as indicated by block 800; estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements as indicated by block 802; and transmitting, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value as indicated by block 804.
  • the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position as indicated by block 800; estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements as indicated by
  • the method may include generating, by the user equipment, a channel quality distribution based on the channel quality measurements.
  • the at least one processing value may include an average block-error probability (BLEP) value
  • the estimating the MCS value may include: determining an outage value by comparing the BLEP value to the channel quality distribution; and mapping the outage value to the MCS value using a look-up table.
  • BLEP average block-error probability
  • the at least one processing value may include an indication of a position, and wherein estimating the MCS value comprises: determining an order of the channel quality measurements; and estimating the MCS value for the channel quality measurement corresponding to the measurement position index.
  • the channel quality measurements are ordered from lowest to highest channel quality.
  • the configuration may include a number of time domain resources and an indication of the frequency domain partition.
  • the set may include two or more processing values, and the transmitting may include transmitting an indication of the estimated MCS value for each of the two or more processing values.
  • the configuration may be a radio resource control (RRC) configuration and performing the measurements may include at least one of: performing periodic channel quality measurements based on the RRC configuration; and performing aperiodic channel quality measurements based on the RRC configuration.
  • RRC radio resource control
  • the channel quality measurements may be signal to interference and noise ratio (SINR) measurements.
  • SINR signal to interference and noise ratio
  • an apparatus may include at least one processor; and at least one non-transitory memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: performing, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index; estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements; and transmitting, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value.
  • BLEP average block-error probability
  • MCS modulation and coding scheme
  • the at least one memory and the computer program code may be configured to, with the at least one processor, cause the apparatus at least to perform: generating, by the user equipment, a channel quality distribution based on the channel quality measurements.
  • the at least one processing value may include an average block-error probability (BLEP) value
  • the estimating the MCS value may include: determining an outage value by comparing the BLEP value to the channel quality distribution; and mapping the outage value to the MCS value using a look-up table.
  • BLEP average block-error probability
  • the at least one processing value may include an indication of a position, and wherein estimating the MCS value comprises: determining an order of the channel quality measurements; and estimating the MCS value for the channel quality measurement corresponding to the measurement position index.
  • the channel quality measurements are ordered from lowest to highest channel quality.
  • the configuration may include a number of time domain resources and an indication of the frequency domain partition.
  • the set may include two or more processing values, and the transmitting may include transmitting an indication of the estimated MCS value for each of the two or more processing values.
  • the configuration may be a radio resource control (RRC) configuration and performing the measurements may include at least one of: performing periodic channel quality measurements based on the RRC configuration; and performing aperiodic channel quality measurements based on the RRC configuration.
  • RRC radio resource control
  • the channel quality measurements may be signal to interference and noise ratio (SINR) measurements.
  • SINR signal to interference and noise ratio
  • a user equipment may comprise an apparatus according to any one of paragraphs [0069]-[0077].
  • an apparatus may comprise: means for performing, by a user equipment of a wireless network, a number of channel quality measurements according to a configuration received by the network, wherein the configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position index; means for estimating a modulation and coding scheme (MCS) value for each processing value in the set based on the channel quality measurements; and means for transmitting, from the user equipment to a base station of the wireless network, an indication of the estimated MCS value.
  • BLEP average block-error probability
  • MCS modulation and coding scheme
  • FIG. 9 is a logic flow diagram for enhanced Channel Quality Indicator (CQI) measurement procedure for URLLC.
  • CQI Channel Quality Indicator
  • This figure further illustrates the operation of an exemplary method or methods, a result of execution of computer program instructions embodied on a computer readable memory, functions performed by logic implemented in hardware, and/or interconnected means for performing functions in accordance with exemplary embodiments.
  • the an adaptation module 150-1 and/or 150-2 may include multiples ones of the blocks in FIG. 9, where each included block is an interconnected means for performing the function in the block.
  • the blocks in FIG. 9 are assumed to be performed by a base station such as eNB 170, e.g., under control of the adaptation module 150-1 and/or 150- 2 at least in part.
  • a method comprising: determining, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), configuration is indicative of the number of channel quality measurements to be performed and comprises a set comprising at least one processing value, the at least one value comprising either an average block-error probability (BLEP) value or a measurement position as indicated by block 900; transmitting, from the base station to the user equipment, the configuration as indicated by block 902; and receiving, from the user equipment, an indication of the estimated MCS value for each processing value in the set as indicated by block 904.
  • MCS modulation and coding scheme
  • the set may include one or more average block-error probability (BLEP) values.
  • the set may comprise one or more measurement position indexes.
  • the configuration may include a number of time domain resources and an indication of the frequency domain partition.
  • the configuration may be a radio resource control (R C) configuration and indicates whether the channel quality measurements are either periodic or aperiodic.
  • R C radio resource control
  • the method may comprise selecting one of the estimated MCS values indicated by the user equipment to be used for a downlink transmission; and transmitting the downlink transmission to the user equipment based on the selected MCS value.
  • the selecting the estimated MCS value may be based on a latency requirement of the wireless network.
  • an apparatus may comprise: at least one processor; and at least one non-transitory memory including computer program code, the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to perform: determining, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), wherein the configuration comprises at least an indication of the number of channel quality measurements to be performed and a set comprising at least one processing value; transmitting, from the base station to the user equipment, the configuration; and receiving, from the user equipment, an indication of the estimated MCS value for each processing value in the set.
  • MCS modulation and coding scheme
  • the set may include one or more average block-error probability (BLEP) values.
  • BLEP block-error probability
  • the set may comprise one or more measurement position indexes.
  • the configuration may include a number of time domain resources and an indication of the frequency domain partition.
  • the configuration may be a radio resource control (RRC) configuration and indicates whether the channel quality measurements are either periodic or aperiodic.
  • RRC radio resource control
  • the at least one memory and the computer program code may be configured to, with the at least one processor, cause the apparatus at least to perform may comprise selecting one of the estimated MCS values indicated by the user equipment to be used for a downlink transmission; and transmitting the downlink transmission to the user equipment based on the selected MCS value.
  • the selecting the estimated MCS value may be based on a latency requirement of the wireless network.
  • a base station may comprise an apparatus according to any one of paragraphs [0088]- [0094].
  • an apparatus may comprise: means for determining, by a base station of a wireless network, a configuration for a number of channel quality measurements to be performed by a user equipment for determining a modulation and coding scheme (MCS), wherein the configuration comprises at least an indication of the number of channel quality measurements to be performed and a set comprising at least one processing value; means for transmitting, from the base station to the user equipment, the configuration; and means for receiving, from the user equipment, an indication of the estimated MCS value for each processing value in the set.
  • MCS modulation and coding scheme
  • a communication system may include an apparatus in accordance with any one of the paragraphs [0069]-[0077] and an apparatus in accordance with any one of paragraphs [0088]- [0094].
  • a computer program may include program code for executing the method according to any of paragraphs [0060]-[0068] or [0081]-[0087].
  • the computer program may be a computer program product comprising a computer-readable medium bearing computer program code embodied therein for use with a computer.
  • a technical effect of one or more of the example embodiments disclosed herein is to address the challenges of LA for URLLC traffic, where the sporadic transmission of small packets leads to rapidly changing interference difficult to be tracked at the eNB side.
  • the multiple CQI indexes (each with a different associated BLEP constraint) reported to the eNB allow to perform spectral-efficient link adaptation, as the BLEP can be flexibly adjusted in accordance to the latency and reliability constraint of each individual URLLC packet.
  • Another technical effect of one or more of the example embodiments disclosed herein is to help meet URLLC requirements in challenging environments with rapid interference fluctuations.
  • Another technical effect of one or more of the example embodiments disclosed herein is that, for each BLEP constraint, only one CQI value is reported. This results in a lower uplink feedback overhead as compared to some LTE CQI reporting configurations where the CQI is reported on a per-subband basis.
  • Embodiments herein may be implemented in software (executed by one or more processors), hardware (e.g., an application specific integrated circuit), or a combination of software and hardware.
  • the software e.g., application logic, an instruction set
  • a "computer-readable medium” may be any media or means that can contain, store, communicate, propagate or transport the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer, with one example of a computer described and depicted, e.g., in FIG. 1.
  • a computer-readable medium may comprise a computer-readable storage medium (e.g., memories 125, 155, 171 or other device) that may be any media or means that can contain, store, and/or transport the instructions for use by or in connection with an instruction execution system, apparatus, or device, such as a computer.
  • a computer-readable storage medium does not comprise propagating signals.
  • the different functions discussed herein may be performed in a different order and/or concurrently with each other. Furthermore, if desired, one or more of the above- described functions may be optional or may be combined.
  • eNB or eNodeB evolved Node B (e.g., an LTE base station)
  • UE user equipment e.g., a wireless, typically mobile device

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

Abstract

L'invention concerne un procédé comprenant : l'exécution, par un équipement utilisateur d'un réseau sans fil, d'un certain nombre de mesures de qualité de canal conformément à une configuration reçue par le réseau, la configuration étant indicative du nombre de mesures de qualité de canal à exécuter et comprenant un ensemble comprenant au moins une valeur de traitement, ladite valeur comprenant soit une valeur de probabilité moyenne d'erreur sur les blocs (BLEP) ou un indice de position de mesure (800) ; l'estimation d'une valeur de schéma de modulation et de codage (MCS) pour chaque valeur de traitement dans l'ensemble sur la base des mesures de qualité de canal (802) ; et la transmission, de l'équipement utilisateur à une station de base du réseau sans fil, d'une indication de la valeur MCS estimée (804).
PCT/FI2018/050030 2017-02-03 2018-01-17 Procédure améliorée de mesure d'indicateur de qualité de canal (cqi) pour une urllc Ceased WO2018142020A1 (fr)

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EP18748717.8A EP3577811A4 (fr) 2017-02-03 2018-01-17 Procédure améliorée de mesure d'indicateur de qualité de canal (cqi) pour une urllc

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WO2024072272A1 (fr) * 2022-09-30 2024-04-04 Telefonaktiebolaget Lm Ericsson (Publ) Adaptation de liaison pour retransmission d'un bloc de transport sur la base d'une probabilité d'erreur de bloc cible (blep)

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EP3577811A4 (fr) 2021-01-06

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