A method for reducing power consumption of a signal transceiving device

Abstract

This invention proposes a method to reduce the energy consumption of signal transceiver equipment for scenarios with dense deployment of millimeter-wave WLAN access points (APs) and dense distribution of STAs. In this scenario, directional beamforming training is used to form directional beams between APs and STAs. The method employs a dynamic adjustment mechanism for AP coverage. Through a process algorithm, the load concentration of each AP in a given network structure is analyzed. While ensuring data transmission requirements and quality, M-APs with fewer connections are temporarily shut down, and their associated STAs are migrated to adjacent nodes using previous training results, reducing load differentiation. By defining a minimum power for full coverage, optimal power consumption is achieved to ensure full connectivity of communication devices and maintain service quality. In the given scenario, the STAs are devices that support the IEEE 802.11ay standard and have completed the one-to-many beamforming training required for the network structure. This invention enables APs to provide services while minimizing energy consumption, ensuring service quality.

Description

Technical Field

[0001] This invention relates to the field of wireless communication technology, and in particular to a method for reducing the energy consumption of signal transceiver equipment. Background Technology

[0002] In dense millimeter-wave WLAN deployment scenarios, the overlapping coverage areas increase. Although the communication characteristics of beams can effectively avoid the mutual interference problem in traditional omnidirectional communication, as the density of terminals (Stations, STAs) and access points (Access Points, APs) further increases, communication devices in overlapping coverage areas may still be subject to beam interference from other user devices. Furthermore, from the perspective of both STAs and APs, the increase in the number of devices will also increase energy consumption.

[0003] In traditional network architectures, each access point (AP) is an independent service entity, responsible only for the access devices within its signal transmission and reception range, without considering the situation of other APs. Therefore, fairness issues arise in the process of mitigating the above problems.

[0004] Assuming each AP is an independent entity, each AP will try its best to provide network services to the devices associated with it. Without a higher-level central control node to coordinate and plan network resources, it will be impossible for any AP to spontaneously adjust its service quality and time-frequency resources to reduce the interference of the entire network during periods of high interference. All APs will try to provide access services as much as possible, so the end result is that multiple APs compete with each other for resources, and the power consumption is not substantially reduced.

[0005] Furthermore, during periods with low data volume, such as from midnight to 6 a.m. each day, if the monitoring and periodic broadcasting are still maintained, the data demand during this period is very small due to human sleep patterns, and can even be ignored. Maintaining the corresponding status at this time would indirectly lead to a waste of power resources. Summary of the Invention

[0006] This invention proposes a method to reduce the energy consumption of signal transceiver equipment, which enables the AP to provide services while minimizing energy consumption, while ensuring service quality.

[0007] The present invention adopts the following technical solution.

[0008] A method for reducing the power consumption of signal transceiver equipment is provided for scenarios with dense deployment of millimeter-wave WLAN access points (APs) and dense distribution of STAs. In this scenario, directional beamforming training is used to form directional beams between APs and STAs. The method is a dynamic adjustment mechanism for AP coverage. Through a process algorithm, the load concentration of each AP in a given network structure is analyzed. Under the premise of ensuring data transmission requirements and transmission quality, M-APs with fewer connections are temporarily shut down, and their associated STAs are migrated to adjacent nodes using previous training results to reduce the degree of load differentiation. By defining the minimum power for full coverage, the method achieves full connectivity of communication equipment with optimal power consumption and ensures service quality.

[0009] In the given scenario, the STA is a device that supports the IEEE 802.11ay standard and has completed the one-to-many beam training required for the network structure.

[0010] In the method, during network structure initialization, m M-APs and n STAs are randomly generated for beam training.

[0011] Suppose set A = {A1, A2, ..., A...} m} represents the service M-AP set consisting of all APs except the control AP node; set E = {E1, E2, ..., E...} n} represents all STAs located in this network structure, and the set S = {S1, S2, ..., S...} l} represents all reachable links for all STAs. Therefore, the signal-to-interference-plus-noise ratio (SIR) of the received signal during communication is expressed as follows:

[0012]

[0013] Where β is a binary discrete interference allocation variable, when STA j The communication beam ∈E in STA i If the power value at point P is below the threshold and can be ignored, then β = 0; otherwise, β = 1. noise This is the noise power value;

[0014] According to the description in the 802.11ay standard, under a given guard interval, the transmission rate of physical layer protocol data units in single-carrier mode is expressed by the following formula:

[0015]

[0016] Where, N ss For the number of space flows, The data transmission rate for each spatial stream is determined by the modulation and coding scheme in the standard; the guard interval length is a standard value; the number of consecutive channels N CBSetting it to 1 means that the STA occupies only a single 2.16 GHz channel bandwidth during transmission; STA i The signal-to-interference-plus-noise ratio (SIR) directly affects the data transmission rate and is considered as an objective in the optimization process. The expression for the system's average throughput is:

[0017]

[0018] Where, ρ i For STA i Spatial stream transmission rate; t i For STA i Transmission time within the current beacon interval; T is the statistical time, usually the time of one beacon interval, which varies in length depending on the network structure.

[0019] In a network structure, the transmit power required for an AP to precisely cover the farthest STA is defined as: the minimum power for full coverage. And it has the following expression:

[0020]

[0021] The minimum power for full coverage is selected by calculating the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage. The largest M-AP, the minimum power for full coverage is that it meets the requirements of any STA associated with it. i Under the requirements of the modulation and coding strategy, the minimum transmit power required is STA i The MCS (Mechanical Control System) during data transmission requires a corresponding receiver sensitivity threshold.

[0022] To ensure the data transmission needs of each STA, a power allocation scheme with the minimum total power for full coverage is calculated and generated. The network structure is then dynamically adjusted, specifically: the coverage area of ​​each M-AP changes dynamically with the number of STAs, especially those in overlapping coverage areas, as expressed by the formula:

[0023]

[0024] stC≥C Γ Formula 5.

[0025] The process of dynamically adjusting the network structure using the method includes the following steps;

[0026] Step S1: During network structure initialization, m M-APs and n STAs are randomly generated, and beam training is performed according to the beam training method in IEEE 802.11ad and subsequent millimeter wave unlicensed frequency band related standards; the beamforming training process includes the sector-level scanning (SLS) stage and the beam refinement (BRP) stage.

[0027] Step S2: Calculate the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage, to select the minimum power for full coverage. The largest M-AP;

[0028] Step S3: Poll the associated STAs of the M-AP. If a certain STA... i If the inter-device interference is greater than zero and the device is located in the overlapping region, then this STA is selected. i The system's average throughput C_temp after data migration using candidate beams is calculated. If C_temp is greater than a threshold, it is used as the system's average throughput C, and the minimum full-coverage power of the associated M-AP is updated. If C_temp is less than the threshold, a new STA is selected. i ;

[0029] Step S4: After polling all associated STAs of the M-AP, calculate the new value P_temp of the sum of minimum power for full coverage of the M-AP. If P_temp is less than the original sum of minimum power for full coverage P, change the value of P to P_temp and return to step S2 to re-execute; if P_temp is not less than the original sum of minimum power for full coverage P, do not change P and directly return to step S2 to re-execute.

[0030] Step S5: If all M-APs have been polled, then the dynamic adjustment is complete.

[0031] The task of dynamically adjusting the network structure is executed by the central control node, which coordinates and exchanges control information with the network access nodes and defines the minimum power for full network coverage.

[0032] This invention is a dynamic adjustment mechanism for AP coverage. By analyzing the load concentration of each AP, data migration is performed on APs with higher load concentration to reduce load differentiation. Furthermore, by utilizing the concept of minimum power for full coverage, this method enables APs to provide services while minimizing energy consumption, while ensuring service quality.

[0033] In the dynamic coverage adjustment mechanism of this invention, under the premise of ensuring data transmission requirements and transmission quality, the M-AP with fewer connections is temporarily shut down, and its associated STA is migrated to adjacent nodes using the previous training results. This has good energy-saving performance in scenarios with dense AP deployment. Attached Figure Description

[0034] The present invention will be further described in detail below with reference to the accompanying drawings and specific embodiments:

[0035] Appendix Figure 1 This is a schematic diagram of a dense millimeter-wave WLAN scenario;

[0036] Appendix Figure 2 This is a schematic diagram of the I-SLS beamforming training stage;

[0037] Appendix Figure 3 This is a schematic diagram of the A-BFT time slot division for beamforming training;

[0038] Appendix Figure 4 This is a schematic diagram of the beam training process during the DTI (Digital Beam Training) phase.

[0039] Appendix Figure 5 This is a schematic diagram of a simulation scenario from an example embodiment;

[0040] Appendix Figure 6 This is a flowchart illustrating the dynamic coverage adjustment (dynamic adjustment of network structure) process of the present invention.

[0041] Appendix Figure 7 This is a schematic diagram of the simulation results of the dynamic coverage area in the embodiment;

[0042] Appendix Figure 8 This is a schematic diagram of the simulation results of the dynamic coverage area under a special case in the embodiment. Detailed Implementation

[0043] As shown in the figure, a method for reducing the power consumption of signal transceiver equipment is used in scenarios where millimeter-wave WLAN access points (APs) are densely deployed and STAs are densely distributed. In this scenario, directional beamforming training is used to form directional beams between APs and STAs. The method is a dynamic adjustment mechanism for AP coverage. Through process algorithm analysis, the load concentration of each AP in a given network structure is analyzed. Under the premise of ensuring data transmission requirements and transmission quality, M-APs with fewer connections are temporarily shut down, and their associated STAs are migrated to adjacent nodes using the previous training results to reduce the degree of load differentiation. By defining the minimum power for full coverage, the method achieves full connectivity of communication equipment with optimal power consumption and ensures service quality.

[0044] In the given scenario, the STA is a device that supports the IEEE 802.11ay standard and has completed the one-to-many beam training required for the network structure.

[0045] In the method, during network structure initialization, m M-APs and n STAs are randomly generated for beam training.

[0046] Suppose set A = {A1, A2, ..., A...} m} represents the service M-AP set consisting of all APs except the control AP node; set E = {E1, E2, ..., E...} n} represents all STAs located in this network structure, and the set S = {S1, S2, ..., S...} l} represents all reachable links for all STAs. Therefore, the signal-to-interference-plus-noise ratio (SIR) of the received signal during communication is expressed as follows:

[0047]

[0048] Where β is a binary discrete interference allocation variable, when STA j The communication beam ∈E in STA i If the power value at point P is below the threshold and can be ignored, then β = 0; otherwise, β = 1. noise This is the noise power value;

[0049] According to the description in the 802.11ay standard, under a given guard interval, the transmission rate of physical layer protocol data units in single-carrier mode is expressed by the following formula:

[0050]

[0051] Where, N ss For the number of space flows, The data transmission rate for each spatial stream is determined by the modulation and coding scheme in the standard; the guard interval length is a standard value; the number of consecutive channels N CB Set to 1, meaning that the STA occupies only one 2.16GHz channel bandwidth during the transmission process;

[0052] According to the standard definition, the modulation and coding strategies and the transmission rates of each spatial stream are shown in the table below.

[0053] Table 1: Modulation and coding strategies in the 802.11ay standard

[0054]

[0055] STA i The signal-to-interference-plus-noise ratio (SIR) directly affects the data transmission rate and is considered as an objective in the optimization process. The expression for the system's average throughput is:

[0056]

[0057] Where, ρ i For STA i Spatial stream transmission rate; t i For STA i Transmission time within the current beacon interval; T is the statistical time, usually the time of one beacon interval, which varies in length depending on the network structure.

[0058] In a network structure, the transmit power required for an AP to precisely cover the farthest STA is defined as: the minimum power for full coverage. And it has the following expression:

[0059]

[0060] The minimum power for full coverage is selected by calculating the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage. The largest M-AP, the minimum power for full coverage is that it meets the requirements of any STA associated with it. i Under the requirements of the modulation and coding strategy, the minimum transmit power required is STA i The MCS (Mechanical Control System) during data transmission requires a corresponding receiver sensitivity threshold.

[0061] To ensure the data transmission needs of each STA, a power allocation scheme with the minimum total power for full coverage is calculated and generated. The network structure is then dynamically adjusted, specifically: the coverage area of ​​each M-AP changes dynamically with the number of STAs, especially those in overlapping coverage areas, as expressed by the formula:

[0062]

[0063] stC≥C Γ Formula 5.

[0064] The process of dynamically adjusting the network structure using the method includes the following steps;

[0065] Step S1: During network structure initialization, m M-APs and n STAs are randomly generated, and beam training is performed according to the beam training method in IEEE 802.11ad and subsequent millimeter wave unlicensed frequency band related standards; the beamforming training process includes the sector-level scanning (SLS) stage and the beam refinement (BRP) stage.

[0066] Step S2: Calculate the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage, to select the minimum power for full coverage. The largest M-AP;

[0067] Step S3: Poll the associated STAs of the M-AP. If a certain STA... i If the inter-device interference is greater than zero and the device is located in the overlapping region, then this STA is selected. i The system's average throughput C_temp after data migration using candidate beams is calculated. If C_temp is greater than a threshold, it is used as the system's average throughput C, and the minimum full-coverage power of the associated M-AP is updated. If C_temp is less than the threshold, a new STA is selected. i ;

[0068] Step S4: After polling all associated STAs of the M-AP, calculate the new value P_temp of the sum of minimum power for full coverage of the M-AP. If P_temp is less than the original sum of minimum power for full coverage P, change the value of P to P_temp and return to step S2 to re-execute; if P_temp is not less than the original sum of minimum power for full coverage P, do not change P and directly return to step S2 to re-execute.

[0069] Step S5: If all M-APs have been polled, then the dynamic adjustment is complete.

[0070] The task of dynamically adjusting the network structure is executed by the central control node, which coordinates and exchanges control information with the network access nodes and defines the minimum power for full network coverage.

[0071] Example 1;

[0072] Simulation scenario description:

[0073] With the rapid development of mobile devices, people's demand for mobile data transmission is also increasing. The theoretical data rates of both fifth-generation mobile communication systems and next-generation wireless local area networks (WLANs) are ten times that of the previous generation. Higher data transmission rates require higher transmission conditions, but currently, high-quality low-frequency spectrum has been almost entirely exhausted, making it impossible to find continuous high-bandwidth connections to meet the demand. Therefore, high-frequency WLAN standards, represented by 802.11ad / ay, use the 60GHz unlicensed frequency band, with a single channel bandwidth of 2.16GHz, providing a foundation for extremely high data rates. However, high-frequency channels require millimeter-wave beamforming technology for data exchange, and at the communication distance, there are many overlapping coverage areas, as shown in the figure. As the density of STAs (Station Devices) and APs (Access Points) further increases, communication devices in overlapping coverage areas may still be subject to beam interference from other user devices. Furthermore, from both the STA and AP perspectives, the increase in the number of devices also increases energy consumption.

[0074] like Figure 5 As shown, in the scenario described by the above model, STA i In relation to M-AP i During the data exchange process, the communication beam targets the STA. j In contrast, it is a potential source of interference, which is reasonable in densely deployed beam communication scenarios.

[0075] In traditional network architectures, since each Access Point (AP) is an independent service provider, fairness issues arise in mitigating the aforementioned problems. In other words, because each AP is an independent entity and will strive to provide network services to its associated devices, without a higher-level central control node to coordinate network resources, it becomes irreconcilable which AP should spontaneously adjust its quality of service and time-frequency resources to reduce overall network interference during periods of high interference. Furthermore, as shown in the figure, M-AP... i At this point, only a very small number of STAs have data transmission needs, and they are located in overlapping coverage areas (only one is shown in the model for simplicity). This situation is also possible. If a traditional network structure is adopted, then M-AP... i Providing services only to a very small number of STAs is a waste of communication resources and will result in unnecessary energy waste, especially in dense scenarios.

[0076] The simulation parameters are shown in the table below. It is assumed that the STA position is randomly generated and remains stationary in this simulation.

[0077] Table 2 Simulation Parameter Settings for Dynamic Coverage Range

[0078] Parameter name numerical values bandwidth 2.16GHz Beam gain 10dB noise -80dBm / MHz Transmit power 5mW Simulation scene range 20m×20m

[0079] Figure 7 The information shown indicates that the devices located in the overlapping area at the lower left and the lower right underwent data migration while meeting the process conditions, resulting in a reduction of transmission power of over 20%.

[0080] Figure 8 This can be considered a special case, where the STAs of the lower M-AP are all in the overlapping area and there are not many of them. Under certain conditions, they can all be migrated to the adjacent M-AP, and the RF module can be temporarily turned off during the data transmission phase. In this case, more transmit power can be saved. However, it should be noted that although the RF module can be turned off during the data transmission phase, a beacon frame still needs to be transmitted in the next beacon transmission phase to prevent missing potential STAs that need service during the next beacon interval.

[0081] Example 2

[0082] In this example, as Figure 1 The scenario shown depicts densely distributed STAs within a certain range, supporting various wireless communication protocols. These include standards such as 802.11ac operating in low-frequency common bands and standards such as 802.11ad / ay operating in millimeter-wave high-frequency bands. In high-frequency scenarios, signal attenuation is more severe, significantly reducing signal coverage. To ensure user experience, dense deployment of network devices is required, along with directional beamforming training. This forms a directional beam between the AP and STA, concentrating signal energy in a specific direction to compensate for severe channel attenuation in millimeter-wave bands, reduce interference, and achieve high gain. Figure 1 As shown.

[0083] The IEEE 802.11ad beam training method in this example

[0084] The beamforming training process defined by the 802.11ad standard includes a sector-level sweep (SLS) phase and a beam refinement protocol (BRP) phase. In the following description, we will use AP-initiated beamforming training as an example, referring to the party initiating the training as the initiator and the other party as the responder.

[0085] The beam training process for 802.11ad / ay is as follows.

[0086] (1) Beam training during the BTI phase: This involves Initiator-Transmit Sector Sweep (I-TXSS) transmitting DMG Beacon frames or other dedicated training frames in each sector during BTI, such as... Figure 2-4 As shown. According to the relevant 802.11 standard, each antenna of a single AP can be divided into a maximum of 64 sectors, and the total number of sectors for all antennas cannot exceed 128. The specific training frame number is identified by the CDOWN field within the training frame. At this point, the responder needs to adjust its antenna to quasi-omnidirectional mode for reception. The effect achieved at this stage is that the responder can obtain information about the optimal transmission sector for it from the initiator.

[0087] (2) Beam training during the A-BFT phase: This involves Responder-Transmit Sector Sweep (R-TXSS). After the initiator's sector scan is completed, the responder's sector scan is performed during the A-BFT phase. Figure 2-5 As shown, the entire A-BFT phase involves time slot division, with the specific number of slots indicated by the A-BFT Length field in the DMG Beacon. All STAs receiving the DMG Beacon frame must compete for access to the A-BFT time slot. Successful access results in the transmission of a training frame; otherwise, re-competition for access is required to gain a training opportunity. The responder transmits a training frame, allowing the initiator to know its optimal transmission sector, and simultaneously, the responder's optimal transmission sector is also known. After successfully transmitting the training frame, the initiator and responder must perform a Sector Sweep Feedback (SSW-Feedback) and Sector Sweep ACK (SSW-ACK) process on the previously mutually disclosed optimal transmission sectors. The SSW-Feedback frame carries a list of the other party's transmission sectors in order of reception quality. At this point, the beam training is largely complete. Further training will be conducted in subsequent DTI phases if needed. The duration of a single training time slot in A-BFT is:

[0088] aSSSlotTime=aAirpropagationTime+aSSDuration+MBIFS

[0089] +aSSFBDuration+MBIFS

[0090] It should be noted that the number of training frames that can be sent in a single A-BFT time slot varies in different versions. Within the same time slot, the maximum number of SSW frames is 16.

[0091] Beam training in the DTI phase: In the DTI phase, whether the initiator or the responder is performing beam refinement or simple beam training, it needs to be done in SP or CBAP. If the initiator is AP, DMG Beacon frames can no longer be used as training frames, and SSW frames must be used as training frames. The training process is generally the same.

[0092] The Beam Refinement Protocol (BRP) stage is not mandatory, and its process can be roughly divided into the following sub-stages:

[0093] (a) BRP-setup sub-phase: mainly used to exchange some necessary information for the subsequent BRP phase. Both parties send and receive on the best sector trained in the SLS phase.

[0094] (b) Multiple Sector Identifier (MID) phase: The initiator or responder sends BRP frames in quasi-omnidirectional mode, and the other party receives them on its respective sectors. This phase is used to train the receiving sectors of both parties.

[0095] (c) BRP-Feedback phase: The initiator or responder sends a Feedback frame on the best sector specified in the SLS phase, which carries a list of the received sectors of both parties ordered by quality, and the other party should receive it in quasi-omnidirectional mode.

[0096] (d) Beam Combining (BC) phase: The initiator or responder traverses the transmit sector list obtained in the SLS phase and transmits BRP frames in sequence. The other party traverses the receive sector list obtained in the MID phase and receives them in sequence, thus obtaining a beam pair list from the responder to the other party (i.e., uplink) ordered by quality.

[0097] It should be noted that the BC phase and MID are not necessarily bound together. Some training processes only require the MID phase, while others only require the BC phase. After the BRP phase is completed, the beam trained in the previous A-BFT phase will be presented in a more refined form, with a narrower beam and thus higher gain.

Claims

1. A method for reducing the energy consumption of signal transceiver equipment, characterized in that: The method is a dynamic adjustment mechanism for AP coverage. It analyzes the load concentration of each AP in a given network structure through a process algorithm. Under the premise of ensuring data transmission requirements and transmission quality, it temporarily shuts down some M-APs that overlap with adjacent nodes, and at the same time migrates their associated STAs to adjacent nodes using the previous training results to reduce the degree of load differentiation and defines the minimum power for full coverage. In the given scenario, the STA is a device that supports the IEEE 802.11ay standard and has completed the one-to-many beam training required for the network structure; In the method, during network structure initialization, m M-APs and n STAs are randomly generated for beam training. Assume set This represents the service M-AP set consisting of all APs except the control AP node; set This represents the set of all STAs located within this network structure. This represents all reachable links for all STAs, then during communication, The expression for the received signal-to-interference-plus-noise ratio is as follows: Formula 1; in, Assign variables to the binary discrete disturbances, when The communication beam in When the power value at a given point is below a threshold and can be ignored, then ,otherwise ; This is the noise power value; According to the description in the 802.11ay standard, under a given guard interval, the transmission rate of physical layer protocol data units in single-carrier mode is expressed by the following formula: Formula 2; in, For the number of space flows, The data transmission rate for each spatial stream is determined by the modulation and coding scheme in the standard; the guard interval length is a standard value; the number of consecutive channels... Set to 1, meaning that the STA occupies only one 2.16GHz channel bandwidth during the transmission process; The signal-to-interference-plus-noise ratio (SIR) directly affects the data transmission rate and is considered as an objective in the optimization process. The expression for the system's average throughput is: Formula 3; in, for Spatial stream transmission rate; for Transmission time within the current beacon interval; The statistical time is typically the time of a beacon interval, but its length varies depending on the network structure components. In a network structure, the transmit power required for an AP to precisely cover the farthest STA is defined as: the minimum power for full coverage. And it has the following expression: Formula 4; The minimum power for full coverage is selected by calculating the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage. The largest M-AP, the minimum power for full coverage, is achieved by satisfying any associated condition. Under the requirements of the modulation and coding strategy, the minimum transmit power required is express The MCS during data transmission requires a corresponding receiver sensitivity threshold; To ensure the data transmission needs of each STA, a power allocation scheme with the minimum total power for full coverage is calculated and generated. The network structure is then dynamically adjusted, specifically: the coverage area of ​​each M-AP changes dynamically with the number of STAs in overlapping coverage areas, as expressed by the formula: Formula 5; The process of dynamically adjusting the network structure using the method includes the following steps; Step S1: During network structure initialization, m M-APs and n STAs are randomly generated, and beam training is performed according to the beam training method in IEEE 802.11ad and subsequent millimeter wave unlicensed frequency band related standards; the beamforming training process includes the sector-level scanning (SLS) stage and the beam refining (BRP) stage. Step S2: Calculate the SINR value of each STA, the system average throughput C, and the sum P of the minimum power for full coverage, to select the minimum power for full coverage. The largest M-AP; Step S3: Poll the associated STAs of the M-AP. If a certain If the inter-device interference is greater than zero and the device is located in the overlapping region, then select that device. Calculate the average system throughput after data migration using alternative beams. ,like If it exceeds the threshold, it is used as the system's average throughput C, and the minimum power for full coverage of the associated M-AP is updated; if If the value is less than the threshold, then select again. ; Step S4: After polling all associated STAs of the M-AP, calculate the new value P of the sum of minimum power for full coverage of the M-AP. _temp If P _temp If the sum of the original minimum power for full coverage is less than P, then change the value of P to P0. _temp， Return to step S2 and execute again; if P _temp If the sum of the original minimum power for full coverage is not less than P, then P is not changed, and the process returns to step S2 to be executed again. Step S5: If all M-APs have been polled, then the dynamic adjustment is complete. The task of dynamically adjusting the network structure is executed by the central control node, which coordinates and exchanges control information with the network access nodes and defines the minimum power for full network coverage.

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