TWI646816B - Base station and scheduling method of uplink resource unit - Google Patents

Abstract

An upload resource unit planning method includes selecting an upload parameter combination, and calculating the upload parameter combination that can achieve the minimum energy consumption according to the allowed traffic and service quality. This combination of upload parameters allows for multiple delivery changes. The score function is used to calculate the score of the change of the user equipment transmission condition, and the order of the user equipment is determined by the score. Determine the placement of these resource units in the uploading of the secondary carrier. Check that the time taken for the placement is consistent with the delay limit allowed by the user device. If the result of checking the placement position does not meet the delay limit, the number of consecutive secondary carriers is changed, and the loop enters the step of determining the placement of the resource units at the placement position of the uploaded secondary carrier.

Description

Base station and base station implementation of upload resource unit planning method

The disclosure relates to wireless communication technology, and more relates to a method for planning an upload resource unit executed by a base station.

The technology of wireless communication occupies an important proportion in modern technology. In the continuous research and development of technology, the uplink resource allocation scheduling technology of the Narrow Band Internet of Thing (NB-IoT) in the 5G network communication field has been proposed, which can be An integrated approach using retransmission mechanisms, radio resource allocation, modulation settings, and transmit power configuration to enhance the reliability of device uploading data and reduce overall device power consumption.

NB-IoT is expected to be one of the future IoT application technologies. It is easy to set up with existing networks and supports a large number of IoT devices to access the network, providing low-cost and low-energy transmission and extending battery life. It can use the retransmission mechanism and multi-type Resource Unit (RU) to increase coverage and reliability.

How to achieve high reliability and energy saving uplink data based on NB-IoT technology The method of transmission is to develop.

The disclosure provides a method for planning an upload resource unit executed by the base station and the base station, and the quality of the upload can be achieved.

In an embodiment of the present disclosure, a method for planning an upload resource unit between a user equipment in a narrowband Internet of Things and a base station servo system includes calculating a minimum energy consumption according to the traffic and service quality allowed by the user equipment. Combined upload parameter combination, wherein the upload parameter combination includes the number of planned resource units (N ^RU ), the number of retransmissions (N ^rep ), the number of consecutive secondary carriers used by the resource unit (N ^SC ), and the modulation and coding strategy Various transmission changes allowed by parameters such as (MCS). The score function is used to calculate a score of the condition change transmitted by the user equipment, and the order of transmission of the user equipment is determined according to the scores. It is determined that the resource units are placed at the position where the secondary carrier is uploaded, so that the remaining area of the effective resource unit is the smallest. Checking the transmission time of the placement position, when the transmission time does not meet the delay limit, changing the number of consecutive secondary carriers, wherein the energy consumption used without changing the resource unit is prioritized, and the loop entry determines that the resource units are In the step of uploading the placement position of the secondary carrier, when the check result meets the delay limit, the upload resource unit plan is completed.

In an embodiment of the present disclosure, a base station servo system includes: a processor configured to manage communication between the base station and a user equipment; and a storage device that stores at least a firmware required to perform management of the processor or Software; a temporary storage element for temporary storage of data required for operation of the processor; and a communication interface for providing an interface for communication with the user device. The processor performs the upload resource unit planning under the specification of the narrow-band Internet of Things, and calculates an upload parameter combination with the lowest energy consumption according to the traffic and the service quality allowed by the user equipment, where the upload parameter combination includes the planning resource. The number of units (N ^RU ), the number of retransmissions (N ^rep ), the number of consecutive subcarriers used by the resource unit (N ^SC ), and the parameters of the modulation and coding strategy (MCS) allow for a variety of transmission changes. The score function is used to calculate the score of the condition change transmitted by the user equipment, and the order of transmission of the user equipment is determined according to the scores. It is determined that the resource units are placed at the position where the secondary carrier is uploaded, so that the remaining area of the effective resource unit is the smallest. Checking the transmission time of the placement position, when the transmission time does not meet the delay limit, changing the number of consecutive secondary carriers, wherein the energy consumption used by not changing the resource unit is prioritized, and the loop entry determines that the resource units are in the The step of uploading the placement position of the secondary carrier, when the check result meets the delay limit, completes the upload resource unit plan.

In an embodiment of the present disclosure, for the upload resource unit planning method, the step of selecting the upload parameter combination includes: calculating the number of the planned resource units (N ^RU ) according to the data amount; And a bit error rate, calculating a successful transmission probability (P ^S ); estimating the number of retransmissions (N ^rep ) that meets the reliability target according to the reliability target of the user equipment and the successful transmission probability; The range determines the transmission power (Pi) of the user equipment; according to the calculated energy consumption (Ei), the transmission power (Pi), the number of data unit slots (N ^Slot ), the number of retransmissions (N ^rep ), and the number A plurality of products that are allowed to vary by parameters such as (N ^RU ); and one of the products whose energy consumption (Ei) is the lowest is determined as the combination of the upload parameters.

In an embodiment of the disclosure, in the step of calculating the unit of the user equipment by using the score function, the more the selection of the condition change is, the lower the score is. .

In an embodiment of the present disclosure, for the upload resource unit planning method, the calculation of the score also includes combining in a weight manner according to the time emergency parameters of the user equipment.

In an embodiment of the present disclosure, for the upload resource unit planning method, the step of determining the location of the resource unit in the uploading of the secondary carrier includes: following the secondary carrier of the resource unit to be transmitted next time. The number (N ^SC ) and the subcarrier range used by the wireless transmission data frame, the resource unit is sequentially placed at different positions of the subcarrier ranges, and the remaining area is generated according to the end time. The one with the smallest remaining area is taken as the placement position.

In an embodiment of the present disclosure, for the upload resource unit planning method, the step of checking the time occupied by the placement location includes: ending the transmission time of the resource unit according to the determined placement location The delay limit comparison of the user equipment is determined to be consistent with the delay limit when less than or equal to the delay limit.

In an embodiment of the present disclosure, for the upload resource unit planning method, if the result of checking the placement position does not meet the delay limit, the step of changing the number of consecutive secondary carriers is determined according to the transmission specification. Multiple choices of the number of consecutive subcarriers are made differently.

In an embodiment of the present disclosure, for the upload resource unit planning party In the method, under the specification of the subcarrier bandwidth of 15 kHz, the number of subcarriers that can be allocated by one resource unit has four options of 1, 3, 6, and 12, and the four selections from 1, 3, 6, and 12. Different from the current one, but the selection of the number of secondary carriers is 1 is the last.

The above described features and advantages of the present invention will be more apparent from the following description.

10‧‧‧RF data frame

12‧‧‧ data frames

14‧‧‧ data slot

16‧‧‧Resource Unit

20, 20a, 20b, 20c, 20d‧‧‧ resource unit types

50‧‧‧Time delay limit

80‧‧‧User equipment

90‧‧‧Base station servo system

100‧‧‧ processor

102‧‧‧Storage device

104‧‧‧Scratch memory components

106‧‧‧Communication interface

S10, S20, S30, S40, S50, S60‧‧ steps

FIG. 1 is a schematic diagram showing the structure of a data structure of a narrow frequency Internet of Things according to an embodiment of the disclosure.

FIG. 2 is a schematic diagram showing a resource format of a narrow frequency Internet of Things according to an embodiment of the disclosure.

FIG. 3 is a schematic diagram of resource unit configuration of an upstream slot according to an embodiment of the disclosure.

FIG. 4 is a schematic diagram of resource unit configuration for uplink transmission of resource units by three consecutive subcarriers according to an embodiment of the disclosure.

FIG. 5 is a schematic diagram showing four resource unit types of a subcarrier of 15 kHz bandwidth under the specification of a narrow frequency Internet of Things according to an embodiment of the present disclosure.

FIG. 6 is a schematic diagram showing the relationship between the bit error rate and the received power noise ratio.

FIG. 7 is a schematic flow chart showing a method for planning an upload resource unit according to an embodiment of the disclosure.

8A-8D are schematic diagrams showing a placement mechanism of a resource unit according to an embodiment of the disclosure.

9A-9D are schematic diagrams showing comparison of placement of resource units and allowed delay time according to an embodiment of the disclosure.

FIG. 10 is a schematic diagram showing a mechanism for changing a resource unit type according to an embodiment of the disclosure.

11A-11C are schematic diagrams showing the acceptable placement positions after changing the resource unit type according to an embodiment of the disclosure.

FIG. 12 is a schematic structural diagram of a base station servo system according to an embodiment of the disclosure.

Under the specification of the narrow-band Internet of Things, this disclosure proposes that the planning of resource units in uplink transmission can improve the transmission quality, including improving reliability and reducing energy consumption.

The following examples are presented to illustrate the disclosure, but the disclosure is not limited to the embodiments.

The following describes the specification of the narrow-band Internet of Things. After discussing the changes allowed by the specification of the narrow-band Internet of Things, it is expected to have more planning for resource units. FIG. 1 is a schematic diagram showing the structure of a data structure of a narrow frequency Internet of Things according to an embodiment of the disclosure.

Referring to FIG. 1, the data frame of the narrow-band Internet of Things is composed of a plurality of radio frame (RF) 10. One RF data frame 10, using 10ms time. In a radio frequency data frame 10, it is divided into ten sub-frames (SF) 12 by 1 ms. A secondary data frame 12 is further divided into two data slots 14 . A data slot (slot) takes 0.5ms.

FIG. 2 is a schematic diagram showing a resource format of a narrow frequency Internet of Things according to an embodiment of the disclosure. Referring to FIG. 2, for a detailed format of a radio data frame 10, it is composed of a plurality of resource elements (Resources, REs) 16 of a minimum unit. In detail, the bandwidth used by the RF data frame 10 is 180 kHz, and the bandwidth of the subcarrier (SC) is 15 kHz, so there are twelve subcarrier channels. One secondary carrier is used by one resource unit 16. On the horizontal axis is the time factor. A data slot 14 is divided into seven time slots in 0.5 ms. Each time period is used by one resource unit 16. That is, one time period and one secondary carrier define one resource unit 16. Further, the two data slots 14 constitute a secondary data frame 12. Ten sub-frames 12 form a radio frequency data frame 10.

FIG. 3 is a schematic diagram of resource unit configuration of an upstream slot according to an embodiment of the disclosure. Referring to Figure 3, some parameters of the data slot 14 are defined. N _SC ^UL is the number of uplink (UL) secondary carriers, and k represents its sequence number. A resource unit 16 transmits a symbol (symb, symb) data. N ^UL _symb is the number of resource units 16, with l representing its sequence number.

In the uplink transmission, the alternative way is shown in Table 1.

N _i ^SC is the number of consecutive subcarriers used by the uplink transmission resource unit.

N _i ^slot is the number of consecutive data slots used by the uplink transmission resource unit.

N ^UL _symb is the number of resource units used by the data slot.

FIG. 4 is a schematic diagram of resource unit configuration for uplink transmission of resource units by three consecutive subcarriers according to an embodiment of the disclosure. Referring to FIG. 4, a resource unit type (RU type) is exemplified by a transmission mode using three consecutive subcarriers and using eight data slots, and a resource unit type 20 is placed as shown in the figure. Another type of subcarrier is tone, so the resource unit type of this embodiment is of the "3 tone" type. According to the selection of Table 1, it is N _i ^SC = 3, N ^UL _symb = 7, N _i ^slot = 8, and Δ f = 15 kHz. The other format is Form 1.

FIG. 5 is a schematic diagram showing four resource unit types of a subcarrier of 15 kHz bandwidth under the specification of a narrow frequency Internet of Things according to an embodiment of the present disclosure. Referring to FIG. 5, according to the specification of the narrow-band Internet of Things, when the bandwidth of the subcarrier is selected to be 15 kHz, a total of 12 subcarrier channels can be used, and the resource unit type has 1 tone (monotonic), 3 tone, 6 tone, 12 tone. The four choices. Resource unit type 20a is monotonous so that Use 16 data slots. Resource unit type 20b is 3 keys, using 8 data slots. The resource unit type 20c is 6 keys and uses 4 data slots. Resource unit type 20d is 12-tone, using 2 data slots. The size of the data size unit is 16 units when monotonous, and the other 3, 6 and 12 units use 24 units.

Under the above-mentioned specification architecture, the present disclosure discloses the resource allocation of the plan upload so as to effectively utilize the bandwidth, save energy, and maintain good transmission reliability.

The disclosure utilizes a data size unit that can be used to estimate the number of scheduled data units (N ^RU ). Estimated by the amount of data Di, which is for example (1): Where f(MCSi) is a predetermined function according to the Modulation Coding Scheme (MCS).

FIG. 6 is a schematic diagram showing the relationship between the bit error rate and the received power noise ratio. Referring to Figure 6, it is the relationship between the bit error rate (BER) and the received power. Considering the bit error rate, it can obtain the expected signal-to-noise ratio (SNR), and then calculate the power consumption generated by the transmission data according to the theoretical rules. Power consumption is also included in the considerations of this disclosure. Among them, for the selected modulation and coding strategy (MCS), it is, for example, a choice of two-bit phase offset modulation (BPSK) or four-bit phase offset modulation (QPSK). For the selected modulation and coding strategy (MCS), it can calculate the signal-to-noise ratio (SNR). Here, the way in which the power consumption is actually calculated can be estimated by theoretical rules, which is not the only way. The disclosure does not describe the calculation process in detail.

The present disclosure considers a plurality of factors that can be adjusted as described above, and more specifically proposes an upload resource unit planning method.

FIG. 7 is a schematic flow chart showing a method for planning an upload resource unit according to an embodiment of the disclosure. Referring to FIG. 7, an embodiment of the present disclosure provides an uplink resource unit planning method, which is applicable to communication between a base station server system and a user equipment by using a narrow-band Internet of Things. The uploading resource unit planning method includes the step S10 of selecting an upload parameter combination, which is a combination of uploading parameters that minimizes the energy consumption obtained by the calculation. Generally, it is based on the traffic and quality of service (QoS) allowed by the user equipment, and the combination of the upload parameters that can achieve the minimum energy consumption is calculated. Quality of Service (QoS) refers to a control mechanism that is scheduled when the network transmits data. It provides different priority levels for different users or different data streams, or ensures the performance of data streams to a certain extent according to the requirements of the application. level. In addition, the upload parameter combination includes the number of planned resource units (N ^RU ), the number of retransmissions (N ^rep ), the number of consecutive secondary carriers used by the resource unit (N ^SC ), and the parameters of the modulation and coding strategy (MCS). Etc., while allowing multiple transmission changes.

That is, for each user equipment (UE), it can select the type of resource unit to use, and calculate the combination of parameters satisfying the BER and the repetition according to its modulation, MCS, and reliability.

In step S20, the score function is used to calculate the score of the condition change transmitted by the user equipment, and the order of the user equipment is determined by the score level.

In step S30, it determines the location of the resource unit in the uploading secondary carrier. Set, so that the remaining spectrum resources are minimized.

In step S40, it checks whether the transmission time of the placement position meets the delay limit allowed by the user equipment.

If YES in step S40, the result of checking the placement position conforms to the delay limit, and then proceeds to step S60 of ending, and the upload resource unit plan is completed.

If the result of checking the placement position in step S40 is NO, that is, when the transmission time does not meet the delay limit, the number of consecutive subcarriers (N ^SC ) is changed, step S50. The effect of changing the number of consecutive subcarriers (N ^SC ) is equivalent to changing the resource unit type or changing the modulation unit of the resource unit, and looping into determining the placement of the resource units at the placement position of the uploaded subcarrier Step S30.

If, however, the planning cannot be completed only by changing the number of consecutive subcarriers (N ^SC ), for example, it is possible to return to step 20, select the transmission configuration of the second highest score, and plan again. In an embodiment, it is also possible to return to step 10 to select a configuration with a second highest energy consumption. These subsequent plans can still employ the techniques disclosed herein. For example, at this time, the energy consumption of step 10 is minimized, and the sample of the selectable change is a sample that excludes the energy consumption selection of the previous evaluation failure.

The contents of each step are described in more detail below. In step S10, for example, according to formula (1), the number of resource units N _i ^RU can be estimated according to the data amount Di of the i-th user equipment. In addition, the probability P _i ^{S of} successful transmission is also calculated according to the bit error rate BER, as shown in the equation (2): P _i ^S = (1 - BER _i ) ^Di (2) Next, the number of retransmissions is calculated as in equation (3) N _i ^REP . The number of retransmissions N _i ^REP needs to meet the requirement of equation (3), which is greater than or equal to the reliability target R _{i of} the i th UE.

In addition, the selection of the received power P _i is smaller than the maximum power consumption P _i ^{max of the} UE, in addition to being greater than the lowest power consumption calculated according to FIG.

Then, according to the parameter values obtained in the foregoing, the energy efficiency Ei of the formula (4) is calculated: After that, look for the minimum of the energy efficiency Ei among the parameter values is the initial upload parameter combination, which is the operation of equation (5):

According to the search for the lowest energy efficiency, it can be determined that the parameters N _i ^SC such as N _i ^SC , N _i ^slot , N _i ^RU , N _i ^rep , MCS _i can have a plurality of choices of 1/3/6/12. In step S20, according to the possible change selection of the user device transmission order, when there are more choices, it indicates a more elastic change, and the change adjustment can be allowed later, so that the priority lower value is given. E.g:

When 1 is selected, the priority value (P) = 4.

In the case of two choices, the priority value (P) = 3.

When three options are selected, the priority value (P) = 2.

When there are more than 3 choices, the priority value (P)=1. In addition, if the time urgency is considered, it is also possible to obtain an estimated value, for example, based on a factor of the remaining time or the like. After that, the two can calculate the score according to the weights W ₁ , W ₂ , as in equation (6): (score) _i = W ₁ * (priority value) i + W ₂ * (time urgency) _i (6)

The size of the score is shown in Table 2: Therefore, the present disclosure further selects a parameter combination with a higher score, which is N _i ^SC =3, N _i ^rep =2.

In step S30, the resource unit is actually placed in the radio frequency data frame. 8A-8D are schematic diagrams showing a placement mechanism of a resource unit according to an embodiment of the disclosure.

Referring to FIGS. 8A to 8D, under the condition of N _i ^SC = 3, the next resource unit is represented by a block indicated by a lower right oblique line, which is in accordance with the pattern shown in FIG. In the case where the existing has been used or prohibited, the 3-way resource unit type 20b has four placement positions. Based on the expected end time after placement, the remaining area that is not used is calculated for these four placement methods. The remaining area is large, which means a greater degree of waste. Therefore, in this step S30, the placement position of the resource unit is determined according to the remaining area, wherein the remaining area of FIG. 8C is the selected mode.

9A-9D are schematic diagrams showing comparison of placement of resource units and allowed delay time according to an embodiment of the disclosure. Referring to FIG. 9A to FIG. 9D, in addition to the consideration of the remaining area in step S30, in step S40, after the resource unit is attempted to be placed, the remaining spectral resources after being discharged may extend to a time point in time distribution. Here, it is necessary to further confirm whether the time point of this end exceeds the delay constraint 50 of the user equipment. For this example, although the placement position of FIG. 9B can obtain the smallest remaining area, the end point thereof exceeds the time delay limit of 50, so the current placement position of FIG. 9B is a requirement that does not meet the time delay limit of 50. Then, the judgment result of the step S40 is "NO".

Next, the determination result of step S40 is "NO", and the process proceeds to step S50, and the resource unit type needs to be changed, that is, the number of adjustments is changed. FIG. 10 is a schematic diagram showing a mechanism for changing a resource unit type according to an embodiment of the disclosure. Participating in FIG. 10, the current resource unit type of 3 is adjusted. According to the change of FIG. 5, the change can be changed to monotonous, 6-adjusted, and 12-adjusted, and the loop returns to step S30 to re-attempt.

The order of the changes can be determined, for example, according to a cost ratio. In the case where the selection of the allowable number of adjustments is 1, 3, 6, and 12, since the energy consumptions of the 3, 6, and 12 are the same, as long as the delay requirement can be met, for example, the smaller of the two or It is a large number of tones, but no specific restrictions are required. A monotonous choice will change the energy consumption currently used, with a choice of secondary.

11A to FIG. 11C are diagrams showing changes in accordance with an embodiment of the present disclosure. Schematic diagram of the acceptable placement position after the source unit type. Referring to FIG. 11A, if it is changed to 12-tone, it has only one placement position, or exceeds the time delay limit of 50, and is not selected. If it is changed to 6, it is two placement positions, as shown in Fig. 11B and Fig. 11C. The placement position of FIG. 11B takes the first 6 subcarriers, does not meet the time delay limit of 50, and the placement position of FIG. 11C takes the next 6 subcarriers, which can meet the time delay limit of 50, and the remaining area is also the smallest, so The position of the 11C will be selected at the end, which will have better efficiency.

In this way, after the loop of steps S30, S40, and S50, the resource unit uplink transmission planning can be obtained. Under the NB-IoT specification architecture, the present disclosure plans to allocate resource allocations to enable efficient use of bandwidth, energy savings, and maintain good transmission reliability.

It is possible to implement the aforementioned system device for uploading a resource unit planning method, which can be set, for example, in a base station servo system. FIG. 12 is a schematic structural diagram of a base station servo system according to an embodiment of the disclosure.

Referring to FIG. 12, a base station servo system 90 includes a processor 100 for managing communications with user equipment 80. The storage device 102 can store and provide at least the firmware or software needed to perform management of the processor. The scratch memory component 104 can be used for temporary storage of data required for operation of the processor. The communication interface 106 can provide an interface for communication with the user device 80. The processor 100 performs the upload resource unit planning under the specification of the narrow-band Internet of Things, including selecting the upload parameter combination, and calculating the upload parameter that can achieve the minimum energy consumption according to the traffic and service quality allowed by the user equipment 80. Combination, wherein the upload parameter combination includes the number of planned resource units (N ^RU ), the number of retransmissions (N ^rep ), and the modulation and coding strategy (MCS), the number of consecutive subcarriers used (N ^SC ), and the like. , while allowing multiple delivery changes. Each device (user equipment) score is calculated using a score function, and the device transfer order is determined by the score. Determining the placement positions of the resource units in the uploading subcarriers, wherein the location where the remaining area of the effective resource unit is the smallest is the placement position. The time taken to check the placement position is consistent with the delay limit allowed by the user device 80. If the result of checking the placement position meets the delay limit, the upload resource unit plan is completed. If the result of checking the placement position does not meet the delay limit, the number of consecutive secondary carriers is changed, and the loop enters the step of determining the placement of the resource units at the placement position of the uploaded secondary carrier.

The NB-IoT technology is a highly reliable and energy-saving method for uplink data transmission, in which the number of retransmissions and resource unit types are better combined. In addition, choosing the right MCS and power combination can improve transmission efficiency and maintain energy savings.

The present disclosure has been disclosed in the above embodiments, but it is not intended to limit the disclosure, and any person skilled in the art can make some changes and refinements without departing from the spirit and scope of the disclosure. The scope of protection of this disclosure is subject to the definition of the scope of the appended claims.

Claims (16)

A method for planning an upload resource unit between a user equipment in a narrow-band Internet of Things and a base station servo system, comprising: calculating an upload parameter combination with a minimum energy consumption according to the traffic and service quality allowed by the user equipment, wherein The upload parameter combination includes the number of planned resource units (N ^RU ), the number of retransmissions (N ^rep ), the number of consecutive secondary carriers used by the resource unit (N ^SC ), and the parameters of the modulation and coding strategy (MCS). Allowing multiple transmission changes; using a score function to calculate a score of the condition change transmitted by the user equipment, and determining a transmission order of the user equipment according to the scores; determining the current user equipment having the highest score to transmit; The resource units are placed at the position where the secondary carrier is uploaded, so that the remaining area of the effective resource unit is the smallest; and the transmission time of the placement position is checked, and when the transmission time does not meet the delay limit, the number of consecutive secondary carriers is changed, wherein The energy consumption used by the resource unit is not prioritized, and the loop entry determines that the resource units are on the This step is the placement of sub-carriers, when the test results in line with the delay limit, the unit complete the upload resource planning. The method for planning an uploading resource unit according to the first aspect of the patent application, wherein the step of calculating the combination of the uploading parameters that minimizes the energy consumption comprises: calculating the number of the planned resource units (N ^RU ) according to the amount of data; Calculating a successful transmission probability (P ^S ) according to the data amount and the bit error rate; and estimating the number of retransmissions (N ^rep ) according to the reliability target according to the reliability target of the user equipment and the successful transmission probability; The range of power receivable can be determined, and the transmission power (Pi) of the user equipment is determined; according to the calculated energy consumption (Ei), the transmission power (Pi), the number of data unit slots (N ^slot ), and the number of retransmissions (N ^rep) And a plurality of products that are allowed to vary by parameters such as the number (N ^RU ); and one of the lowest products based on the energy consumption (Ei) is determined as the combination of the upload parameters. The upload resource unit planning method according to claim 1, wherein in the step of calculating the condition change using the score function, the more the selection manner of the condition change, the lower the score. The method for planning an upload resource unit as described in claim 3, wherein the calculation of the score further comprises merging in a weight manner according to a time-critical parameter of the user equipment. The method for planning an upload resource unit according to claim 1, wherein the step of determining the location of the resource unit in the uploading of the secondary carrier comprises: following a continuous subcarrier of the resource unit to be transmitted next time. The quantity (N ^SC ) and the subcarrier range used by the wireless transmission data frame, the resource unit is sequentially placed at different positions of the subcarrier ranges, and the remaining area is generated according to the end time, and The one with the smallest remaining area is taken as the placement position. The method for planning an upload resource unit according to claim 1, wherein the step of checking the time taken by the placement location comprises: According to the determined placement position, the end transmission time of the resource unit is compared with the delay limit of the user equipment, and when it is less than or equal to the delay limit, it is determined that the delay limit is met. The method for planning an upload resource unit according to claim 1, wherein if the result of checking the placement position does not meet the delay limit, the step of changing the number of consecutive secondary carriers is the continuous according to the transmission specification. Multiple choices of the number of subcarriers are made differently. The method for planning an upload resource unit according to claim 7, wherein in the specification of the subcarrier bandwidth of 15 kHz, the number of subcarriers that can be allocated by the resource unit has four options of 1, 3, 6, and 12. The four choices from 1, 3, 6, and 12 are different from the current one, but the selection of the number of secondary carriers is 1 is the last. A base station servo system includes: a processor for managing communication with a user device; a storage device for storing and providing at least firmware or software required for execution management of the processor; and a temporary storage element for the The data storage required for the operation of the processor; and the communication interface providing an interface for communication with the user equipment, wherein the processor performs the upload resource unit planning under the specification of the narrow-band Internet of Things, including: according to the user equipment Allowable traffic and quality of service calculate an energy consumption minimum combination of upload parameters, wherein the upload parameter combination includes the number of planned resource units (N ^RU ), the number of retransmissions (N ^rep ), and the consecutive secondary carriers used by the resource unit a plurality of transmission changes allowed by the number (N ^SC ) and the parameters of the modulation and coding strategy (MCS); using a score function to calculate a score of the condition change transmitted by the user equipment, and determining the user equipment according to the scores Transmitting order; determining that the user equipment currently having the highest score transmits; determining that the resource units are uploading the secondary carrier Positioning, so that the remaining area of the effective resource unit is the smallest; and checking the transmission time of the placement position, when the transmission time does not meet the delay limit, changing the number of consecutive secondary carriers, wherein the energy used by the resource unit is not changed The consumption is prioritized, and the looping enters the step of determining the location of the resource units at the placement position of the uploaded secondary carrier. When the check result meets the delay limit, the uploading of the resource unit plan is completed. The base station servo system according to claim 9, wherein the execution of the selected upload parameter combination comprises: calculating the number of the planned resource units (N ^RU ) according to the data amount; according to the data amount and the error code Rate, calculate the successful transmission probability (P ^S ); estimate the number of retransmissions (N ^rep ) that meets the reliability target according to the reliability target of the user equipment and the successful transmission probability; and determine according to the range of receivable power The transmission power (Pi) of the user equipment; according to the calculated energy consumption (Ei), the transmission power (Pi), the number of data unit slots (N ^slot ), the number of retransmissions (N ^rep ), and the number (N ^RU a plurality of products that are allowed to vary by the parameters; and one of the products whose energy consumption (Ei) is the lowest, determined as the combination of the upload parameters. The base station servo system of claim 9, wherein in the execution of calculating the score of the user equipment using the score function, the more the selection of the condition change is, the lower the score is. The base station servo system of claim 11, wherein the calculation of the score also includes merging in a weight manner according to time urgency parameters of the user equipment. The base station servo system of claim 9, wherein determining the execution of the placement positions of the resource units in the uploading subcarriers comprises: following the number of consecutive subcarriers of the resource unit to be transmitted next time ( N ^SC ), and the subcarrier range used by the radio transmission data frame, sequentially placing the resource unit in different positions of the subcarrier ranges, and generating the remaining area according to the end time, and using the remaining The one with the smallest area is used as the placement position. The base station servo system of claim 9, wherein the checking of the time taken by the placement position comprises: ending the transmission time of the resource unit with the user equipment according to the determined placement position The delay limit comparison, when less than or equal to the delay limit, is determined to be consistent with the delay limit. The base station servo system of claim 9, wherein if the result of checking the placement position does not meet the delay limit, changing the number of consecutive subcarriers is performed according to the number of consecutive subcarriers specified by the transmission specification. A variety of choices are made for different options. For example, in the base station servo system of claim 15, wherein in the specification of the subcarrier bandwidth of 15 kHz, the number of subcarriers that can be allocated by one resource unit has four options of 1, 3, 6, and 12, from 1 The four choices of 3, 6, and 12 are different from the current one, but the selection of the number of secondary carriers is 1 is the last.