Base station transmit power adjustment method, device, equipment and storage medium

Abstract

This invention provides a method, apparatus, device, and storage medium for adjusting base station transmit power, relating to the field of communication technology. The method includes: calculating the marginal utility value of each user served by the current base station; determining the interference loss of neighboring cells based on path loss of edge users in neighboring cells, antenna pattern coupling factor, co-frequency and inter-frequency identifiers, and a determined power adjustment step size; constructing a target utility function for the current base station based on the marginal utility value of each user, the interference loss of neighboring cells, the power consumption difference before and after power adjustment of the current base station, and the determined power adjustment step size; finding a power adjustment step size that maximizes the target utility function, with the aim of maximizing the function value, as the proposed power adjustment step size for the current base station; and adjusting the transmit power of the current base station according to the proposed power adjustment step size. The technical solution provided by this invention can dynamically adjust the base station transmit power according to real-time changes in network load, user distribution, channel conditions, and interference levels.

Description

Technical Field

[0001] This invention relates to the field of communication technology, and in particular to a base station transmit power adjustment method, a base station transmit power adjustment device, a computer device, and a computer-readable storage medium. Background Technology

[0002] In cellular mobile communication systems (including LTE, LTE-Advanced, and 5G NR networks), the downlink transmit power of base stations (eNodeB / gNodeB) is one of the core parameters affecting wireless coverage quality, system capacity, and interference levels. The configuration of base station transmit power directly affects the cell's coverage radius, signal reception quality for edge users, neighboring cell interference intensity, and the overall spectrum utilization efficiency of the network. In cellular mobile communication networks, base station transmit power has a significant impact on system performance: excessive power leads to increased neighboring cell interference and energy consumption; insufficient power results in inadequate coverage and a degraded user experience.

[0003] Currently, the base station transmit power configuration and adjustment methods commonly used by operators in actual networks mainly include static power configuration and periodic adjustment based on a single KPI (Key Performance Indicator). However, static power configuration relies too heavily on manual intervention and cannot be dynamically adjusted according to real-time changes in network status; periodic adjustment based on a single KPI has a long adjustment cycle and lags significantly behind real-time changes in network status. Summary of the Invention

[0004] This invention was developed to at least partially address the technical problem that existing base station transmit power adjustment methods cannot dynamically adjust in real time according to changes in network status.

[0005] According to one aspect of the present invention, a method for adjusting the transmit power of a base station is provided, comprising: The marginal utility value of each user is calculated based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served. The interference loss of neighboring cells is determined based on the path loss of neighboring edge users, antenna pattern coupling factor, co-frequency identification, and undetermined power adjustment step size. Among them, the path loss of neighboring edge users represents the path loss value of the signal transmitted by the current base station to the edge user location of the cell where the neighboring base station is located; the antenna pattern coupling factor represents the gain factor of the antenna of the current base station in the direction pointing to the neighboring base station; and the co-frequency identification represents whether the current base station and the neighboring base station use the same operating frequency band. Based on the marginal utility value of each user, the interference loss of the neighboring cells, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size, the target utility function of the current base station is constructed. With the aim of maximizing the target utility function, the power adjustment step size that maximizes the function value of the target utility function is found, and this step size is used as the power adjustment step size suggested by the current base station. Adjust the current base station's transmit power according to the power adjustment step size recommended in this report.

[0006] Optionally, the step of calculating the marginal utility value of each user based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served, includes: Calculate the derivative of the experience quality index of each user served by the current base station with respect to the actual throughput, and obtain the marginal gain of experience quality for each user; Calculate the derivative of the actual throughput of each user served by the current base station with respect to the received signal quality, and obtain the rate marginal gain for each user; Calculate the derivative of the received signal quality with respect to the current transmit power for each user served by the current base station to obtain the marginal gain of the signal quality for each user; The marginal utility value of each user is obtained by multiplying the marginal gain of experience quality, marginal gain of rate, and marginal gain of signal quality.

[0007] Optionally, the mapping function between the experience quality metric and the actual throughput is: ; Where Q represents the experience quality index; k q T is the preset slope coefficient; T is the actual throughput; T th This is the throughput threshold; The marginal gain of experience quality is calculated using the following formula: .

[0008] Optionally, the mapping function between the actual throughput and the received signal quality is: ; Where T is the actual throughput; B is the preset channel bandwidth; SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal; The rate marginal gain is calculated using the following formula: .

[0009] Optionally, determining the interference loss of neighboring cells based on the path loss of edge users in neighboring cells, antenna pattern coupling factor, co-frequency and inter-frequency identification, and undetermined power adjustment step size includes: The neighbor cell coupling coefficient is constructed based on the path loss of the neighbor cell edge user, the antenna pattern coupling factor, and the same and different frequency identifiers. The interference loss of the neighboring cell is obtained by calculating the product of the coupling coefficient of the neighboring cell and the step size of the undetermined power adjustment.

[0010] Optionally, the neighboring cell coupling coefficient is constructed using the following formula: ; in, is the neighboring cell coupling coefficient, used to characterize the coupling coefficient between the current base station i and the neighboring base station j; This is a preset proportional coefficient; is the antenna pattern coupling factor, used to characterize the gain factor of the antenna of the current base station i in the direction pointing to the adjacent base station j; This is the same-frequency identifier for current base station i and its neighboring base station j. If they are on the same frequency, When the two frequencies are different, ; , is the path loss for neighboring cell edge users, used to characterize the path loss value of the signal transmitted by the current base station i to the location of the cell edge user where the neighboring base station j is located; This is the reference path loss value.

[0011] Optionally, the target utility function of the current base station is: ; in, Let be the target utility function of the current base station; The preset throughput weight; The set of users served by the current base station i; Let be the marginal utility value of user u, and user u be a set of users. Any user in the list; Adjust the step size for the power to be determined; The preset neighboring cell interference weight; Interference loss in neighboring cells represents the interference loss caused to neighboring base station j after the transmit power of the current base station i is adjusted according to the undetermined power adjustment step size. Let i be the set of all neighboring base stations of the current base station i, and let j be the set of neighboring base stations. Any base station in the network; The preset power consumption weight; This represents the power consumption value of base station i before power adjustment. This represents the power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0012] Optionally, the power consumption value of the current base station i before power adjustment is calculated using the following formula: ; in, This represents the power consumption value of base station i before power adjustment. This represents the current transmit power of base station i. This is the preset power loss coefficient; This is the preset static loss coefficient; The power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size is calculated using the following formula: ; in, This represents the power consumption value of base station i after power adjustment according to the undetermined power adjustment step size. The transmit power of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0013] Optionally, after obtaining the power adjustment step size suggested by the current base station, the method further includes: The sample confidence coefficient is calculated based on the total number of users served by the current base station and the average variance of the received signal quality fluctuation of all users. The actual power adjustment step size is obtained by multiplying the sample confidence coefficient by the proposed power adjustment step size. Adjust the current base station's transmit power according to the actual power adjustment step size.

[0014] Optionally, the sample confidence coefficient is calculated using the following formula: ; ; Where CF is the sample confidence coefficient; N is the total number of users served by the current base station; The preset empirical coefficient; The average of the SINR fluctuation variance for all users served by the current base station. SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal. Let be the SINR fluctuation variance of user u, and user u is any user among all users served by the current base station.

[0015] According to another aspect of the present invention, a base station transmit power adjustment device is provided, comprising: The marginal utility calculation module is configured to calculate the marginal utility value of each user based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served. The interference loss determination module is configured to determine the interference loss of neighboring cells based on the path loss of neighboring edge users, antenna pattern coupling factor, co-frequency identification, and undetermined power adjustment step size. The neighboring edge user path loss represents the path loss value of the signal transmitted by the current base station to the location of the edge user in the cell where the neighboring base station is located. The antenna pattern coupling factor represents the gain factor of the current base station's antenna in the direction pointing to the neighboring base station. The co-frequency identification indicates whether the current base station and the neighboring base station use the same operating frequency band. The utility function construction module is configured to construct the target utility function of the current base station based on the marginal utility value of each user, the interference loss of the neighboring cells, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size. The suggested step size determination module is configured to find the power adjustment step size that maximizes the function value of the target utility function, and use it as the power adjustment step size suggested by the current base station for this time. The transmit power adjustment module is configured to adjust the transmit power of the current base station according to the power adjustment step size recommended in this study.

[0016] According to another aspect of the present invention, a computer device is provided, including a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the aforementioned base station transmit power adjustment method.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided having a computer program stored thereon, wherein when the computer program is executed by a processor, the processor performs the aforementioned base station transmit power adjustment method.

[0018] The technical solution provided by this invention may include the following beneficial effects: The base station transmit power adjustment method and apparatus provided by this invention obtains and executes a suggested power adjustment step size by maximizing the target utility function. This allows the power adjustment to directly reflect the gradual marginal changes in user perception with respect to data rate, signal quality, and transmit power. At the same time, it quantifies the interference cost and energy consumption increment of power increase to neighboring cells. Thus, based on a comprehensive consideration of user experience, neighboring cell interference, and energy consumption, the optimal adjustment step size is dynamically determined. Therefore, it can automatically adjust the base station transmit power according to real-time changes in network load, user distribution, channel conditions, and interference levels, overcoming the shortcomings of power adjustment schemes in related technologies that cannot adapt to dynamic network conditions.

[0019] Other features and advantages of the invention will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention may be realized and obtained by means of the structures particularly pointed out in the description, claims and drawings. Attached Figure Description

[0020] The accompanying drawings are provided to further understand the technical solutions of the present invention and constitute a part of the specification. They are used together with the embodiments of the present invention to explain the technical solutions of the present invention, and do not constitute a limitation on the technical solutions of the present invention.

[0021] Figure 1 A schematic flowchart of a base station transmit power adjustment method provided in an embodiment of the present invention; Figure 2 A flowchart illustrating another base station transmit power adjustment method provided in an embodiment of the present invention; Figure 3 This is a schematic diagram of the base station transmit power adjustment device provided in an embodiment of the present invention; Figure 4 This is a schematic diagram of the structure of a computer device provided in an embodiment of the present invention. Detailed Implementation

[0022] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the specific implementation methods of the present invention will be described in detail below with reference to the accompanying drawings. It should be understood that the specific implementation methods described herein are for illustration and explanation only and are not intended to limit the present invention.

[0023] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a set order or sequence; furthermore, in the absence of conflict, the embodiments and features in the embodiments of this invention can be arbitrarily combined with each other. In the following description, the use of suffixes such as "module," "component," or "unit" to represent elements is only for the convenience of the description of this invention and has no inherent meaning. Therefore, "module," "component," or "unit" can be used interchangeably.

[0024] The commonly used methods for configuring and adjusting base station transmit power in related technologies are as follows: Static power configuration: During the base station commissioning or optimization phase, engineers set a fixed downlink transmit power value based on planning data (cell location, antenna height, azimuth angle, and estimated user distribution). This setting remains unchanged for a long period unless manually replanned or optimized on-site. This power configuration method relies excessively on manual intervention and cannot be dynamically adjusted according to real-time changes in network conditions.

[0025] Periodic adjustment based on a single KPI: Operators may manually determine whether base station transmit power needs to be increased or decreased based on periodically calculated single KPIs, such as average RSRP (Reference Signal Received Power), SINR (Signal to Interference plus Noise Ratio), call drop rate, and handover failure rate. This power adjustment method typically operates on a weekly or monthly cycle, resulting in a long adjustment period, coarse time granularity, and significant lag behind real-time changes in network status.

[0026] In addition, related technologies have proposed some dynamic power adjustment schemes: Power adjustment schemes based on fixed thresholds: Only RSRP or SINR thresholds are set. When the index is lower than the set threshold, the power is increased, and when the index exceeds the set threshold, the power is decreased. However, since the thresholds are fixed, dynamic changes in service load and user perception are not considered, resulting in a disconnect between power adjustment and real-time network requirements.

[0027] Single-cell independent power adjustment scheme: Only optimizes the performance indicators of the cell itself, ignoring the increase in interference to neighboring cells caused by the power changes of the cell, which may trigger an "interference avalanche".

[0028] Power adjustment schemes that ignore measurement confidence: Making large power adjustments when the measurement sample size is small and the variance is large can easily cause system oscillations.

[0029] Fixed step power adjustment scheme: The power adjustment range is fixed and it does not have the ability to automatically decrease as marginal utility converges, resulting in slow and unstable adjustment speed.

[0030] To address the aforementioned issues, this invention provides an adaptive base station transmit power adjustment scheme. This scheme is based on a framework of "user marginal utility + neighboring cell coupling + confidence level," relying on the marginal gain of QoE (Quality of Experience) rather than a fixed threshold to avoid blindly increasing power. Through neighboring cell coupling modeling, it significantly reduces the interference degradation caused by power adjustments to neighboring cells. Simultaneously, it introduces a sample confidence coefficient to automatically reduce the adjustment amplitude when data is insufficient or uncertain, avoiding frequent oscillations. Specific embodiments are described in detail below.

[0031] Figure 1 This is a flowchart illustrating a base station transmit power adjustment method provided in an embodiment of the present invention. Figure 1 As shown, the method includes the following steps S101 to S105.

[0032] S101. Based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served, calculate the marginal utility value of each user.

[0033] Marginal effect is used to describe the change in one variable when the other changes by a small unit.

[0034] The user experience quality index, or QoE index, can be executed and reported by the UE (User Equipment). Specifically, when the reporting conditions are met, the UE generates a QoE Measurement Report, which is sent to the base station via RRC (Radio Resource Control) messages and then transmitted to the core network or network management system. Alternatively, it can be obtained through a mapping function between the QoE index and the actual throughput.

[0035] User's actual throughput: The base station can use the scheduler to count the amount of data actually transmitted by each user within the measurement period (the number of bits successfully sent per unit time), which is a measurable performance indicator within the base station.

[0036] Received signal quality (such as SINR, RSRQ, CINR, etc.): The downlink reference signal can be measured by the UE and reported to the base station through measurement reports (such as periodic CQI or MR).

[0037] Current transmit power: This can be read directly from the base station's configuration or real-time power control module; it is a known control parameter.

[0038] In this invention, the current base station can also be referred to as "this base station," and the users served by the current base station refer to the users connected to the cell corresponding to the current base station. Specifically, users are online users.

[0039] S102. Determine the interference loss of the neighboring cell based on the path loss of the edge user in the neighboring cell, the antenna pattern coupling factor, the same frequency and different frequency identification, and the undetermined power adjustment step size.

[0040] The neighboring cell edge user path loss represents the path loss value of the signal transmitted by the current base station to the location of the edge user in the cell where the neighboring base station is located. The antenna pattern coupling factor represents the gain factor of the antenna of the current base station in the direction pointing to the neighboring base station. The same frequency and different frequency identifier represents whether the current base station and the neighboring base station use the same operating frequency band.

[0041] In this invention, the interference loss of neighboring cells specifically refers to the interference loss caused by the cell corresponding to the current base station (i.e., this cell) to neighboring cells.

[0042] S103. Based on the marginal utility value of each user, the interference loss of the neighboring cells, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size, construct the target utility function of the current base station.

[0043] S104. With the aim of maximizing the target utility function, find the power adjustment step size that maximizes the function value of the target utility function, and use it as the power adjustment step size recommended by the current base station.

[0044] Among them, the following can be adopted Function search allows The input parameters when the function value reaches its maximum In order to find the power adjustment step size (i.e. the input parameter) that maximizes the value of the target utility function.

[0045] S105. Adjust the transmit power of the current base station according to the power adjustment step size recommended in this report.

[0046] In this embodiment, the proposed power adjustment step size is obtained by maximizing the target utility function and then executed. This allows the power adjustment to directly reflect the gradual marginal changes in user perception with respect to rate, signal quality, and transmit power. At the same time, it quantifies the interference cost of power increase to neighboring cells and the energy consumption increment. Thus, based on a comprehensive consideration of user experience, neighboring cell interference, and energy consumption, the optimal adjustment step size is dynamically determined. Therefore, the base station transmit power can be automatically adjusted according to real-time changes in network load, user distribution, channel conditions, and interference levels, overcoming the shortcomings of power adjustment schemes in related technologies that cannot adapt to dynamic network conditions.

[0047] In one specific embodiment, step S101 specifically includes the following steps S1011 to S1014.

[0048] S1011. Calculate the derivative of the experience quality index of each user served by the current base station with respect to the actual throughput, and obtain the marginal gain of the experience quality of each user; S1012. Calculate the derivative of the actual throughput of each user served by the current base station with respect to the received signal quality, and obtain the rate marginal gain of each user; S1013. Calculate the derivative of the received signal quality with respect to the current transmit power for each user served by the current base station, and obtain the marginal gain of the signal quality for each user; S1014. Calculate the product of the marginal gain of experience quality, marginal gain of rate, and marginal gain of signal quality for each user to obtain the marginal utility value of each user.

[0049] Among them, the derivative of the experience quality index with respect to the actual throughput is dQ / dT, the derivative of the actual throughput with respect to the received signal quality is dT / dSINR, and the derivative of the received signal quality with respect to the current transmit power is dSINR / dP. i Then the marginal utility value MU of each user u for: .

[0050] In this embodiment, by calculating the derivatives of experience quality with respect to throughput, throughput with respect to received signal quality, and received signal quality with respect to transmit power, and multiplying the three to obtain the marginal utility value, the impact of power adjustment on user benefits is decomposed into the product of three levels of sensitivity: "experience-rate-signal quality". This allows for precise quantification of the real user-perceived gain brought about by each unit power change. This enables power control to adaptively adjust for different channel conditions (such as interference-limited or coverage-limited), avoiding blind adjustments based on fixed thresholds or a single indicator.

[0051] In one specific implementation, in step S1011, the mapping function between the experience quality index and the actual throughput is: ; Where Q represents the experience quality index; k q T is the preset slope coefficient; T is the actual throughput; T th This is the throughput threshold; The marginal gain of experience quality is calculated using the following formula: .

[0052] In this embodiment, the derivative of the experience quality index and the actual throughput is calculated based on the mapping function between the experience quality index and the actual throughput. The resulting marginal gain of experience quality can conform to the nonlinear law that the user's subjective feeling decreases marginally with the increase of the rate: when the throughput is near its threshold, the experience is most sensitive to the rate change, and the power adjustment benefit is obvious; when the throughput is too low or saturated, the sensitivity is automatically reduced to avoid ineffective adjustment.

[0053] In one specific implementation, in step S1012, the mapping function between the actual throughput and the received signal quality is: ; Where T is the actual throughput; B is the preset channel bandwidth; SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal; The rate marginal gain is calculated using the following formula: .

[0054] In this embodiment, the derivatives of the actual throughput and the received signal quality are calculated based on the mapping function. The resulting rate marginal gain provides a physically meaningful analytical expression for rate changes, which can truly reflect the theoretical rate upper limit determined by the channel bandwidth and the signal-to-interference-plus-noise ratio, making the marginal utility calculation more deterministic and reproducible.

[0055] In one specific embodiment, step S102 specifically includes the following steps S1021 and S1022.

[0056] S1021. Construct the neighbor cell coupling coefficient based on the path loss of neighbor cell edge users, antenna pattern coupling factor, and co-frequency and inter-frequency identifiers; S1022. Calculate the product of the neighboring cell coupling coefficient and the undetermined power adjustment step size to obtain the interference loss of the neighboring cell.

[0057] In this embodiment, the interference loss of the neighboring cell is obtained by first constructing the neighboring cell coupling coefficient and then calculating the product of the neighboring cell coupling coefficient and the undetermined power adjustment step size. This simplifies the complex interference relationship into a linear product form, which retains the main influencing factors such as path loss, antenna gain, and co-frequency, while greatly reducing the complexity of online calculation and facilitating real-time decision-making by the base station.

[0058] In one specific implementation, in step S1021, the neighboring cell coupling coefficient is constructed using the following formula: ; in, is the neighboring cell coupling coefficient, used to characterize the coupling coefficient between the current base station i and the neighboring base station j; This is a preset proportional coefficient; is the antenna pattern coupling factor, used to characterize the gain factor of the antenna of the current base station i in the direction pointing to the adjacent base station j; This is the same-frequency identifier for current base station i and its neighboring base station j. If they are on the same frequency, When the two frequencies are different, ; , is the path loss for neighboring cell edge users, used to characterize the path loss value of the signal transmitted by the current base station i to the location of the cell edge user where the neighboring base station j is located; This is the reference path loss value.

[0059] It should be noted that the exponent in this formula is dimensionless and represents the relative attenuation factor of path loss.

[0060] In this embodiment, the neighboring cell coupling coefficient is constructed by combining the antenna pattern coupling factor, the relative attenuation factor of path loss, and the same-frequency / different-frequency identifier: the antenna pattern coupling factor reflects the distribution of the transmitted energy of this base station in the direction of adjacent base stations, the relative attenuation factor of path loss reflects the degree of signal attenuation at the edge of the neighboring cell, and the same-frequency / different-frequency identifier directly excludes interference calculations from neighboring cells of different frequencies. The product of these three factors ensures that the interference loss estimation has a physical basis while avoiding excessive complexity, achieving a good balance between engineering accuracy and computational efficiency.

[0061] In one specific implementation, in step S103, the target utility function of the current base station is: ; in, Let be the target utility function of the current base station; The preset throughput weight; The set of users served by the current base station i; Let be the marginal utility value of user u, and user u be a set of users. Any user in the list; Adjust the step size for the power to be determined; The preset neighboring cell interference weight; Interference loss in neighboring cells represents the interference loss caused to neighboring base station j after the transmit power of the current base station i is adjusted according to the undetermined power adjustment step size. Let i be the set of all neighboring base stations of the current base station i, and let j be the set of neighboring base stations. Any base station in the network; The preset power consumption weight; This represents the power consumption value of base station i before power adjustment. This represents the power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0062] In this embodiment, the objective utility function comprehensively balances three aspects of costs and benefits: the first term (the product of marginal utility and the undetermined step size) represents the user experience gain brought about by power adjustment; the second term (interference loss in neighboring cells) represents the damage to the performance of neighboring cells; and the third term (the power consumption difference before and after base station power adjustment) represents the increase in energy consumption. Operators can adjust the weights of the three terms according to different scenarios (such as dense urban areas, suburbs, and nighttime energy-saving modes), so that the power control strategy can flexibly adapt to service priorities and network operation goals without modifying the main structure of the algorithm.

[0063] In one specific implementation, the power consumption value of the current base station i before power adjustment is calculated using the following formula: ; in, This represents the power consumption value of base station i before power adjustment. This represents the current transmit power of base station i. This is the preset power loss coefficient; This is the preset static loss coefficient.

[0064] In one specific implementation, the power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size is calculated using the following formula: ; in, This represents the power consumption value of base station i after power adjustment according to the undetermined power adjustment step size. The transmit power of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0065] In this embodiment, the power consumption model and This model distinguishes between static losses and power-dependent losses: static terms reflect the basic power consumption that a base station needs to maintain even when not transmitting (such as baseband, heat dissipation, and clock); power-dependent losses reflect the increased power consumption of the power amplifier as the transmit power increases. This power consumption model allows the objective utility function to accurately reflect the electricity costs resulting from power increases, avoiding energy waste caused by infinitely increasing power.

[0066] In one specific implementation, after step S104, step S105 is not executed, but instead steps S106 to S108 are executed.

[0067] S106. Based on the total number of users served by the current base station and the average variance of the received signal quality fluctuation of all users, calculate the sample confidence coefficient CF; S107. Calculate the sample confidence coefficient CF and the proposed power adjustment step size ΔP. suggest The product of these two factors yields the actual power adjustment step size ΔP. real That is, ΔP real =CF×ΔP suggest ; S108. Adjust the transmit power of the current base station according to the actual power adjustment step size.

[0068] In this embodiment, after obtaining the suggested power adjustment step size, a sample confidence coefficient is calculated based on the number of online users and the average variance of the received signal quality fluctuations of all users. The sample confidence coefficient is then multiplied by the suggested power adjustment step size to obtain the actual power adjustment step size. When the number of online users is small or the user signal quality fluctuations are large, the sample confidence coefficient automatically takes a smaller value, thereby compressing the actual power adjustment step size and making power adjustment more cautious. This effectively avoids repeated power oscillations caused by insufficient measurement samples or transient interference, improving the stability and reliability of power adjustment. Simultaneously, when the number of users is large and the signal is stable, the confidence coefficient approaches 1, allowing power adjustment according to an approximate suggested power adjustment step size, ensuring that the power can respond promptly to changes in network status and converge towards a more reasonable power value.

[0069] Furthermore, for the obtained actual power adjustment step size ΔP real It should also meet the following security protection mechanisms: |ΔP real |≤ΔP max , P min ≤(P i (t)+ΔP real )≤P max .

[0070] Wherein, ΔP max The preset power step size limit (e.g., 2dBm); P min The minimum transmit power currently supported by the base station equipment; P max P represents the maximum transmit power currently supported by the base station equipment. i (t) represents the current transmit power of base station i.

[0071] Finally, output the actual adjusted transmit power P at the next moment. i (t+1)=Pi (t)+ΔP real .

[0072] In one specific implementation, in step S106, the sample confidence coefficient is calculated using the following formula: ; ; Where CF is the sample confidence coefficient; N is the total number of users served by the current base station; The preset empirical coefficient; The average of the SINR fluctuation variance for all users served by the current base station. SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal. Let be the SINR fluctuation variance of user u, and user u is any user among all users served by the current base station.

[0073] The variance of SINR fluctuation for user u can be calculated using the following formula: .

[0074] Where M is the total number of times (sample size) the SINR of user u is sampled within a measurement period. The instantaneous SINR value (in dB) measured by user u at the kth sampling time is used to reflect the signal-to-interference-plus-noise ratio at that sampling moment; Let be the arithmetic mean of the SINR obtained by user u in M ​​samplings.

[0075] In this embodiment, the formula for calculating the sample confidence coefficient implements two intuitive logics: the larger the number of users, the higher the confidence (the number of users dominates the denominator, resulting in a larger sample confidence coefficient); the larger the average variance of the SINR fluctuations of all users, the more unstable the signal, and the lower the confidence (the larger the denominator, the smaller the sample confidence coefficient). Empirical coefficients. The introduction of this feature allows for individual calibration based on different network environments (such as urban / suburban areas, high frequency / low frequency), enhancing the algorithm's adaptability to diverse deployment scenarios while maintaining its advantages of simple computation and easy real-time updates.

[0076] The base station transmit power adjustment method provided in this invention calculates the marginal utility value of each user, enabling power adjustment to directly reflect the gradual marginal changes in user experience with rate, signal quality, and transmit power. It can dynamically adjust transmit power in real-time according to changes in service load, user distribution, and channel conditions, avoiding the disconnect problem caused by fixed thresholds. By constructing a neighboring cell coupling coefficient to quantify the interference loss of power adjustment to edge users of adjacent base stations and incorporating it into the target utility function, power increases must come at the cost of neighboring cell interference, thereby suppressing interference avalanche that may be caused by independent optimization of a single cell. By calculating a confidence coefficient based on the number of online users and the variance of signal quality fluctuations and weighting the suggested step size, the actual adjustment step size is automatically reduced when there are few samples or the signal is unstable, effectively eliminating power oscillations caused by measurement uncertainty. Simultaneously, the target utility function comprehensively weighs user benefits, interference losses, and power consumption increments, causing the optimized step size to automatically converge as marginal utility decreases, overcoming the slow and unstable defects of fixed step size adjustment. Ultimately, it achieves a comprehensive goal of adaptive transmit power, optimized network performance, and minimized power consumption.

[0077] Figure 2 This is a flowchart illustrating another base station transmit power adjustment method provided in an embodiment of the present invention. Figure 2 As shown, the method includes the following steps S201 to S206.

[0078] S201. System initialization sets security boundaries.

[0079] The purpose of this step is to establish the safety boundaries and initial parameters for power regulation control, ensuring that the system has self-restraint capabilities.

[0080] The parameters required for this step include: Minimum and maximum transmit power supported by base station equipment: P min P max (Unit: dBm) Current base station transmit power: P i (t) (unit dBm), where t is the current time; Power step size limit: ΔP max (e.g., 2 dBm); The target weights set by the operator: throughput weight w th Neighboring cell interference weight w int Power consumption weight w en ; Write all input parameters to the power control module's configuration file. Set up a safety protection mechanism; any power adjustment must meet P... min ≤P i (t)≤P max |ΔP|≤ΔP max .

[0081] S202. Short-cycle performance data acquisition.

[0082] The purpose of this step is to obtain real-time performance data of the current serving cell and neighboring cells, providing a basis for calculating the marginal utility of power.

[0083] Collect measurement and reporting data for all online users served by the current base station, including signal-to-noise ratio (SINR) (dB), actual throughput (T) (bps), and user experience (QoE) index (Q, ranging from 0 to 1).

[0084] Calculate the SINR fluctuation variance for each user u: Var ( SINR u The variance is used to measure the degree of fluctuation (i.e., stability) in network signal quality. The larger the variance, the greater the fluctuation in user signal, the more unstable the measured signal, and the relatively lower the reliability.

[0085] Calculate the sample confidence coefficient CF to assess the stability of the measurement: ; .

[0086] The sample confidence coefficient (CF) is used to evaluate the reliability of network measurement data or power adjustment results. N represents the total number of online users served by the current base station. The more users, the larger the measurement sample, and the more reliable the statistical results; therefore, the larger the CF. cf This is an empirical coefficient (e.g., 10) used to adjust the influence of SINR variance on CF. According to the formula, more users and stable signals (small variance) → high CF → reliable data → power can be adjusted significantly. Fewer users or large signal fluctuations (large variance) → low CF → unreliable data → power adjustment should be cautious.

[0087] S203. Calculate the user's marginal utility.

[0088] The purpose of this step is to calculate the user QoE gain resulting from a 1 dB change in base station power, to determine whether it is worthwhile to increase the power, and to determine the magnitude of the "benefit" of power adjustment for each user, which will serve as the basis for power optimization.

[0089] Calculate dSINR / dPi: The SINR of user u versus base station transmit power P i The derivative of represents the marginal impact of changes in base station transmit power on user SINR.

[0090] Specifically, .

[0091] If dSINR / dP i=1 means that for every 1dB increase in power, SINR increases by approximately 1dB.

[0092] Calculate dT / dSINR: the derivative of user u's actual throughput T (rate) with respect to SINR, representing the marginal impact of changes in user SINR on user's actual throughput.

[0093] The relationship between T and SINR can be approximated using Shannon's formula: .

[0094] Where B is the channel bandwidth, which is the cell operating bandwidth (in Hz) configured by the base station.

[0095] but, .

[0096] Calculate dQ / dT: The derivative of user experience QoE (Quality of Experience) for user u with respect to actual throughput T (rate), representing the marginal impact of changes in actual throughput on user experience quality metrics.

[0097] The sensitivity of Q to T can be approximated by the Sigmoid function: .

[0098] Where T is the actual throughput of user u (in bps); Tth is the throughput threshold; k q It is the slope coefficient, which controls the sensitivity of Q to T. If k q When k is large, Q is very sensitive to changes in T, and the curve is steep; if k q When Q is small, it is not sensitive to changes in T, and the curve is flat.

[0099] but, .

[0100] The marginal utility value MU of user u is obtained by combining the results. u : .

[0101] This step yields the marginal utility value MU for each user. u (Unit: QoE gain / dB), the larger the value, the greater the "benefit" the user receives from power adjustment.

[0102] S204. Estimate the interference loss from neighboring cells.

[0103] The purpose of this step is to assess how much an increase in the transmit power ΔP of current base station i will degrade the edge user signal quality (SINR) of each neighboring base station j, thereby quantifying the negative impact on neighboring cell throughput. While increasing base station power can improve the downlink rate for users served by the current base station, it also pollutes the spectrum of neighboring cells and reduces the reception quality for users in neighboring cells. This damage must be quantified in order to be traded against throughput gain and power consumption in the subsequent utility function.

[0104] First, define the following parameters: : Represents the path loss of users at the edge of the neighboring cell, that is, the path loss value from the signal transmitted by the current base station i to the location of the user at the edge of the cell where the neighboring base station j is located. It reflects the strength of the signal leakage from the current base station to the edge area of ​​the neighboring cell. If this parameter value is small (small path loss), it means that the interference is strong; if this parameter value is large, it means that the interference is weak.

[0105] Antenna pattern coupling factor: This represents the gain factor (in dBi) of the antenna of current base station i in the direction pointing towards neighboring base station j. This factor is used to assess the potential interference intensity that the transmitted signal from current base station i may cause to edge users within the coverage area of ​​neighboring base station j. A higher gain results in stronger interference at the same power; a lower gain results in less interference. This is a parameter in the antenna pattern, reflecting the spatial distribution of transmitted energy. It is generally defined as the difference between the pattern gain and the maximum gain of the main lobe: Ant ij =G(θ ij )-G max Where G(θ) ij θ is the directional angle θ of the antenna of the current base station i pointing towards the adjacent base station j. ij Gain on (in dBi), G max It is the maximum gain of the antenna main lobe (in dBi).

[0106] The same / different frequency identifier, also known as the same / different frequency indication parameter, indicates whether the current base station i and its neighboring base station j use the same operating frequency band. If they are on the same frequency, the value of this parameter is 1; if they are on different frequencies, the value of this parameter is 0. Interference between neighboring cells on the same frequency only exists between cells on the same frequency; interference between neighboring cells on different frequencies can be ignored. In the comprehensive interference assessment formula, this indication parameter must be used to filter valid neighboring cells.

[0107] Constructing the neighbor coupling coefficient H ij : .

[0108] in, This is a preset proportional coefficient; This is a reference path loss value (e.g., 10 dB).

[0109] Estimate the interference loss in neighboring cells (the change in interference intensity caused by the power change of current base station i to users within the coverage area of ​​neighboring base station j): .

[0110] S205. Construct the power adjustment objective utility function.

[0111] The purpose of this step is to comprehensively consider the user's marginal utility, the interference loss from neighboring cells, and power consumption to decide the direction and magnitude of power increases or decreases.

[0112] A power consumption model f(P) is defined to describe the relationship between the base station's transmit power and its actual power consumption. Power consumption is considered because power adjustment must not only meet coverage requirements and interference control, but also take energy efficiency into account, avoiding a surge in power consumption due to unlimited power increases. The power consumption model f(P) is used to estimate the instantaneous power consumption (in W) of the base station at a transmit power of P.

[0113] Specifically, .

[0114] Among them, P i α is the base station transmit power (in dBm); α is the power-related loss coefficient (representing the additional power consumption efficiency of the amplifier as the base station transmit power increases); β is the static loss coefficient (representing the fixed power consumption required by the base station even when it is not transmitting downlink signals).

[0115] When adjusting the base station transmit power, it is necessary to comprehensively balance three aspects: the increase in user throughput brought about by increasing power, the interference loss of neighboring cells brought about by increasing power, and the increase in power consumption brought about by increasing power. Therefore, a target utility function is designed to uniformly measure the comprehensive benefits of increasing or decreasing the base station transmit power.

[0116] The target utility function U(ΔP) describes the process of reducing the transmit power of the current base station i from P. i Adjusted to (P) i The total revenue brought by +ΔP is calculated as follows: .

[0117] in, The set of users served by the current base station i; Let be the marginal utility value of user u; Let i be the set of all neighboring base stations of the current base station i; The interference loss caused to the adjacent base station j after adjusting the transmit power of the current base station i by an undetermined power adjustment step size ΔP; The throughput weight (a larger weight indicates a greater emphasis on improving user speed). The neighboring cell interference weight (the larger the weight, the more emphasis is placed on reducing neighboring cell interference); Power consumption weight (the larger the weight, the more emphasis is placed on energy saving).

[0118] The first term on the right side of the above formula is the benefit: increased power can improve coverage, thereby increasing the speed of users served by the current base station.

[0119] The second term on the right side of the above formula is the cost of neighboring cell interference: increasing the current base station power will cause interference to neighboring cells and reduce their performance.

[0120] The third term on the right side of the above formula is the power consumption cost: increasing the current base station power will lead to an increase in base station power consumption (calculated using the power consumption model f(P)).

[0121] The utility maximization algorithm finds the ΔP that maximizes U(ΔP) and selects the ΔP that maximizes U(ΔP) as the power adjustment amount for this operation. It then outputs the suggested power adjustment step size ΔP. suggest .

[0122] S206. Sample confidence adjustment.

[0123] Power self-adjustment algorithms make decisions based on measurement data (such as SINR). This data may fluctuate or contain anomalies. If the power is directly adjusted according to the calculation results of the utility maximization algorithm described in the preceding steps, frequent oscillations can easily occur, leading to network instability. To address this, a sample confidence coefficient CF is introduced to adjust the proposed power adjustment step size ΔP. suggest Weighting is applied to make significant adjustments when the data is reliable, and conservative adjustments when the data is insufficient or uncertain.

[0124] Specifically, ΔP real =CF×ΔP suggest .

[0125] And restrict: |ΔP real |≤ΔP max , P min ≤(P i (t)+ΔP real )≤P max .

[0126] Finally, output the actual adjusted transmit power P at the next moment. i (t+1)=P i (t)+ΔP real .

[0127] The base station transmit power adjustment method provided in this invention collects real-time measurement data such as SINR of the users served by the current base station, calculates the marginal utility value of the power increase for users and the interference loss caused by the cell corresponding to the current base station to neighboring cells, and dynamically calculates the optimal power adjustment amount that maximizes the target utility function U(ΔP) while balancing user experience, neighboring cell interference and power consumption. This achieves the comprehensive goals of adaptive power control, network performance optimization and power consumption minimization, and significantly improves the intelligence level and operational efficiency of mobile communication networks.

[0128] Figure 3 This is a schematic diagram of the base station transmit power adjustment device provided in an embodiment of the present invention. Figure 3 As shown, the device includes: a marginal utility calculation module 301, an interference loss determination module 302, a utility function construction module 303, a suggested step size determination module 304, and a transmit power adjustment module 305.

[0129] The marginal utility calculation module 301 is configured to calculate the marginal utility value of each user based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served. The interference loss determination module 302 is configured to determine the interference loss of the neighboring cell based on the path loss of the neighboring cell edge user, the antenna pattern coupling factor, the same frequency identification, and the undetermined power adjustment step size; wherein, the path loss of the neighboring cell edge user represents the path loss value of the signal transmitted by the current base station to the edge user location of the neighboring base station, the antenna pattern coupling factor represents the gain factor of the antenna of the current base station in the direction pointing to the neighboring base station, and the same frequency identification represents whether the current base station and the neighboring base station use the same operating frequency band; The utility function construction module 303 is configured to construct the target utility function of the current base station based on the marginal utility value of each user, the interference loss of the neighboring cell, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size. It is suggested that the step size determination module 304 be configured to find the power adjustment step size that maximizes the function value of the target utility function, with the aim of maximizing the target utility function, and use it as the power adjustment step size suggested by the current base station. The transmit power adjustment module 305 is configured to adjust the transmit power of the current base station according to the power adjustment step size recommended in this instance.

[0130] In one specific embodiment, the marginal utility calculation module 301 includes an experience quality marginal gain calculation unit, a rate marginal gain calculation unit, a signal quality marginal gain unit, and a marginal utility value calculation unit.

[0131] The experience quality marginal gain calculation unit is configured to calculate the derivative of the experience quality index of each user served by the current base station with respect to the actual throughput, thereby obtaining the experience quality marginal gain of each user; the rate marginal gain calculation unit is configured to calculate the derivative of the actual throughput of each user served by the current base station with respect to the received signal quality, thereby obtaining the rate marginal gain of each user; the signal quality marginal gain unit is configured to calculate the derivative of the received signal quality of each user served by the current base station with respect to the current transmit power, thereby obtaining the signal quality marginal gain of each user; and the marginal utility value calculation unit is configured to calculate the product of the experience quality marginal gain, rate marginal gain, and signal quality marginal gain of each user, thereby obtaining the marginal utility value of each user.

[0132] In one specific implementation, the mapping function between the experience quality metric and the actual throughput is: ; Where Q represents the experience quality index; k q T is the preset slope coefficient; T is the actual throughput; T th This is the throughput threshold; The marginal gain of experience quality is calculated using the following formula: .

[0133] In one specific implementation, the mapping function between the actual throughput and the received signal quality is: ; Where T is the actual throughput; B is the preset channel bandwidth; SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal; The rate marginal gain is calculated using the following formula: .

[0134] In one specific implementation, the interference loss determination module 302 includes a neighboring cell coupling coefficient construction unit and an interference loss calculation unit.

[0135] The neighbor cell coupling coefficient construction unit is configured to construct the neighbor cell coupling coefficient based on the path loss of the neighbor cell edge user, the antenna pattern coupling factor, and the same / different frequency identifier; the interference loss calculation unit is configured to calculate the product of the neighbor cell coupling coefficient and the undetermined power adjustment step size to obtain the interference loss of the neighbor cell.

[0136] In one specific implementation, the neighboring cell coupling coefficient is constructed using the following formula: ; in, is the neighboring cell coupling coefficient, used to characterize the coupling coefficient between the current base station i and the neighboring base station j; This is a preset proportional coefficient; is the antenna pattern coupling factor, used to characterize the gain factor of the antenna of the current base station i in the direction pointing to the adjacent base station j; This is the same-frequency identifier for current base station i and its neighboring base station j. If they are on the same frequency, When the two frequencies are different, ; , is the path loss for neighboring cell edge users, used to characterize the path loss value of the signal transmitted by the current base station i to the location of the cell edge user where the neighboring base station j is located; This is the reference path loss value.

[0137] In one specific implementation, the target utility function of the current base station is: ; in, Let be the target utility function of the current base station; The preset throughput weight; The set of users served by the current base station i; Let be the marginal utility value of user u, and user u be a set of users. Any user in the list; Adjust the step size for the power to be determined; The preset neighboring cell interference weight; Interference loss in neighboring cells represents the interference loss caused to neighboring base station j after the transmit power of the current base station i is adjusted according to the undetermined power adjustment step size. Let i be the set of all neighboring base stations of the current base station i, and let j be the set of neighboring base stations. Any base station in the network; The preset power consumption weight; This represents the power consumption value of base station i before power adjustment. This represents the power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0138] In one specific implementation, the power consumption value of the current base station i before power adjustment is calculated using the following formula: ; in, This represents the power consumption value of base station i before power adjustment. This represents the current transmit power of base station i. This is the preset power loss coefficient; This is the preset static loss coefficient; The power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size is calculated using the following formula: ; in, This represents the power consumption value of base station i after power adjustment according to the undetermined power adjustment step size. The transmit power of the current base station i after power adjustment according to the undetermined power adjustment step size.

[0139] In one specific implementation, the system further includes: a sample confidence calculation module and an actual step size determination module.

[0140] The sample confidence calculation module is configured to calculate the sample confidence coefficient based on the total number of users served by the current base station and the average variance of the received signal quality fluctuation of all users. The actual step size determination module is configured to calculate the product of the sample confidence coefficient and the proposed power adjustment step size to obtain the actual power adjustment step size. Correspondingly, the transmit power adjustment module 305 is also configured to adjust the transmit power of the current base station according to the actual power adjustment step size.

[0141] In one specific implementation, the sample confidence coefficient is calculated using the following formula: ; ; Where CF is the sample confidence coefficient; N is the total number of users served by the current base station; The preset empirical coefficient; The average of the SINR fluctuation variance for all users served by the current base station. SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal. Let be the SINR fluctuation variance of user u, and user u is any user among all users served by the current base station.

[0142] The base station transmit power adjustment device provided in this invention calculates the marginal utility value of each user, enabling power adjustment to directly reflect the layer-by-layer marginal changes in user experience with rate, signal quality, and transmit power. It can dynamically adjust transmit power according to real-time changes in service load, user distribution, and channel conditions, avoiding the disconnect problem caused by fixed thresholds. By constructing a neighboring cell coupling coefficient to quantify the interference loss of power adjustment to edge users of adjacent base stations and incorporating it into the target utility function, power increases must come at the cost of neighboring cell interference, thereby suppressing interference avalanche that may be caused by independent optimization of a single cell. By calculating a confidence coefficient based on the number of online users and the variance of signal quality fluctuations and weighting the suggested step size, the actual adjustment step size is automatically reduced when there are few samples or the signal is unstable, effectively eliminating power oscillations caused by measurement uncertainty. Simultaneously, the target utility function comprehensively weighs user benefits, interference losses, and power consumption increments, causing the optimized step size to automatically converge as marginal utility decreases, overcoming the slow and unstable defects of fixed step size adjustment, and ultimately achieving the comprehensive goals of adaptive transmit power, optimized network performance, and minimized power consumption.

[0143] Based on the same technical concept, embodiments of the present invention also provide a computer device, such as... Figure 4 As shown, the computer device includes a memory 401 and a processor 402. The memory 401 stores a computer program. When the processor 402 runs the computer program stored in the memory 401, the processor 402 executes the aforementioned base station transmit power adjustment method.

[0144] Based on the same technical concept, the present invention also provides a computer-readable storage medium storing a computer program thereon, wherein when the computer program is executed by a processor, the processor executes the aforementioned base station transmit power adjustment method.

[0145] In summary, the base station transmit power adjustment method, apparatus, computer equipment, and storage medium provided in this embodiment of the invention achieve self-adjustment of base station transmit power based on marginal utility maximization and confidence level control. Within a short period, the base station periodically collects its own and neighboring cell performance data, calculates the marginal improvement utility of the current power increase on user experience (QoE) and the damage value to neighboring cell interference, and comprehensively calculates the power adjustment direction and step size. At the same time, a confidence level factor is introduced to ensure that the step size is automatically reduced when the data is insufficient or unstable, thereby dynamically sensing the user experience gain, suppressing interference to neighboring cells, controlling the power adjustment step size based on measurement confidence, and optimizing parameters through long-term learning to achieve adaptive power adjustment.

[0146] It will be understood by those skilled in the art that all or some of the steps, systems, or apparatuses disclosed above, and their functional modules / units, can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0147] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, and not to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some or all of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for adjusting the transmit power of a base station, characterized in that, include: The marginal utility value of each user is calculated based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served. The interference loss of neighboring cells is determined based on the path loss of neighboring edge users, antenna pattern coupling factor, co-frequency identification, and undetermined power adjustment step size. Among them, the path loss of neighboring edge users represents the path loss value of the signal transmitted by the current base station to the edge user location of the cell where the neighboring base station is located; the antenna pattern coupling factor represents the gain factor of the antenna of the current base station in the direction pointing to the neighboring base station; and the co-frequency identification represents whether the current base station and the neighboring base station use the same operating frequency band. Based on the marginal utility value of each user, the interference loss of the neighboring cells, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size, the target utility function of the current base station is constructed. With the aim of maximizing the target utility function, the power adjustment step size that maximizes the function value of the target utility function is found, and this step size is used as the power adjustment step size suggested by the current base station. Adjust the current base station's transmit power according to the power adjustment step size recommended in this report.

2. The base station transmit power adjustment method according to claim 1, characterized in that, The marginal utility value of each user is calculated based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served, including: Calculate the derivative of the experience quality index of each user served by the current base station with respect to the actual throughput, and obtain the marginal gain of experience quality for each user; Calculate the derivative of the actual throughput of each user served by the current base station with respect to the received signal quality, and obtain the rate marginal gain for each user; Calculate the derivative of the received signal quality with respect to the current transmit power for each user served by the current base station to obtain the marginal gain of the signal quality for each user; The marginal utility value of each user is obtained by multiplying the marginal gain of experience quality, marginal gain of rate, and marginal gain of signal quality.

3. The base station transmit power adjustment method according to claim 2, characterized in that, The mapping function between the experience quality metric and the actual throughput is: ； Where Q represents the experience quality index; k q T is the preset slope coefficient; T is the actual throughput; T th This is the throughput threshold; The marginal gain of experience quality is calculated using the following formula: 。 4. The base station transmit power adjustment method according to claim 2, characterized in that, The mapping function between the actual throughput and the received signal quality is: ； Where T is the actual throughput; B is the preset channel bandwidth; SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal; The rate marginal gain is calculated using the following formula: 。 5. The base station transmit power adjustment method according to claim 1, characterized in that, The determination of interference loss in neighboring cells based on path loss of edge users in neighboring cells, antenna pattern coupling factor, co-frequency and inter-frequency identification, and undetermined power adjustment step size includes: The neighbor cell coupling coefficient is constructed based on the path loss of the neighbor cell edge user, the antenna pattern coupling factor, and the same and different frequency identifiers. The interference loss of the neighboring cell is obtained by calculating the product of the coupling coefficient of the neighboring cell and the step size of the undetermined power adjustment.

6. The base station transmit power adjustment method according to claim 5, characterized in that, The neighboring cell coupling coefficient is constructed using the following formula: ； in, is the neighboring cell coupling coefficient, used to characterize the coupling coefficient between the current base station i and the neighboring base station j; This is a preset proportionality coefficient; is the antenna pattern coupling factor, used to characterize the gain factor of the antenna of the current base station i in the direction pointing to the adjacent base station j; This is the same-frequency identifier for current base station i and its neighboring base station j. If they are on the same frequency, When the two frequencies are different, ; , is the path loss for users at the edge of the neighboring cell, which characterizes the path loss value of the signal transmitted by the current base station i to the location of the user at the edge of the cell where the neighboring base station j is located; This is the reference path loss value.

7. The base station transmit power adjustment method according to claim 1, characterized in that, The target utility function of the current base station is: ； in, Let be the target utility function of the current base station; The preset throughput weight; The set of users served by the current base station i; Let be the marginal utility value of user u, and user u be a set of users. Any user in the list; Adjust the step size for the power to be determined; The preset neighboring cell interference weight; Interference loss in neighboring cells represents the interference loss caused to neighboring base station j after the transmit power of the current base station i is adjusted according to the undetermined power adjustment step size. Let i be the set of all neighboring base stations of the current base station i, and let j be the set of neighboring base stations. Any base station in the network; The preset power consumption weight; This represents the power consumption value of base station i before power adjustment. This represents the power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size.

8. The base station transmit power adjustment method according to claim 7, characterized in that, The power consumption value of the current base station i before power adjustment is calculated using the following formula: ； in, This represents the power consumption value of base station i before power adjustment. This represents the current transmit power of base station i. This is the preset power loss coefficient; This is the preset static loss coefficient; The power consumption value of the current base station i after power adjustment according to the undetermined power adjustment step size is calculated using the following formula: ； in, This represents the power consumption value of base station i after power adjustment according to the undetermined power adjustment step size. The transmit power of the current base station i after power adjustment according to the undetermined power adjustment step size.

9. The base station transmit power adjustment method according to any one of claims 1-8, characterized in that, After obtaining the current power adjustment step size recommended by the base station, the following is also included: The sample confidence coefficient is calculated based on the total number of users served by the current base station and the average variance of the received signal quality fluctuation of all users. The actual power adjustment step size is obtained by multiplying the sample confidence coefficient by the proposed power adjustment step size. Adjust the current base station's transmit power according to the actual power adjustment step size.

10. The base station transmit power adjustment method according to claim 9, characterized in that, The sample confidence coefficient is calculated using the following formula: ； ； Where CF is the sample confidence coefficient; N is the total number of users served by the current base station; The preset empirical coefficient; The average of the SINR fluctuation variance for all users served by the current base station. SINR is the signal-to-interference-plus-noise ratio, used to characterize the quality of the received signal. Let be the SINR fluctuation variance of user u, and user u is any user among all users served by the current base station.

11. A base station transmit power adjustment device, characterized in that, include: The marginal utility calculation module is configured to calculate the marginal utility value of each user based on the marginal impact of the actual throughput of each user served by the current base station on the experience quality index, the marginal impact of the signal reception quality of each user served by the current base station on the actual throughput, and the marginal impact of the change in the transmit power of the current base station on the received signal quality of each user served. The interference loss determination module is configured to determine the interference loss of neighboring cells based on the path loss of neighboring edge users, antenna pattern coupling factor, co-frequency identification, and undetermined power adjustment step size. The neighboring edge user path loss represents the path loss value of the signal transmitted by the current base station to the location of the edge user in the cell where the neighboring base station is located. The antenna pattern coupling factor represents the gain factor of the current base station's antenna in the direction pointing to the neighboring base station. The co-frequency identification indicates whether the current base station and the neighboring base station use the same operating frequency band. The utility function construction module is configured to construct the target utility function of the current base station based on the marginal utility value of each user, the interference loss of the neighboring cells, the power consumption difference before and after the current base station power adjustment, and the undetermined power adjustment step size. The suggested step size determination module is configured to find the power adjustment step size that maximizes the function value of the target utility function, and use it as the power adjustment step size suggested by the current base station for this time. The transmit power adjustment module is configured to adjust the transmit power of the current base station according to the power adjustment step size recommended in this study.

12. A computer device, characterized in that, The system includes a memory and a processor, wherein the memory stores a computer program, and when the processor runs the computer program stored in the memory, the processor executes the base station transmit power adjustment method according to any one of claims 1 to 10.

13. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, the processor performs the base station transmit power adjustment method according to any one of claims 1 to 10.

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