A construction deployment method for quickly replacing old stations of a communication existing network

Abstract

The application relates to the technical field of mobile communication, and discloses a construction deployment method for quickly replacing an old station in a communication network, which comprises the following steps: dividing surrounding neighboring areas into a main bearing area and a standby bearing area; taking shortening of migration time and reduction of handover failure rate as targets, outputting a power adjustment step and a handover threshold offset amount for a target old station; applying the power adjustment step and the handover threshold offset amount to the target old station to trigger a user to report a measurement report, and dividing users into a high-speed mobile group, a stationary group and a weak coverage group according to the measurement report; generating differentiated migration control instructions for the high-speed mobile group, the stationary group and the weak coverage group, executing emptying of the target old station when a user residual rate meets emptying conditions, and carrying out isolated construction on the target old station. The application can improve user experience of automatic replacement of the old station in the communication network.

Description

Technical Field

[0001] This invention relates to a construction and deployment method for rapidly replacing old sites in an existing communication network, belonging to the field of mobile communication technology. Background Technology

[0002] Rapid replacement of old communication sites refers to the systematic arrangement of upgrading aging communication sites into modern facilities through meticulous planning and resource coordination, utilizing efficient organizational models and advanced technologies, while ensuring continuous network operation. Its core significance lies in significantly shortening the transformation cycle of a single site, effectively reducing network risks caused by equipment aging, minimizing the risk of service interruption, and accelerating the evolution of the entire network towards a high-capacity, low-energy-consumption, and intelligent architecture, thereby significantly improving the user communication experience and the operator's asset operation efficiency.

[0003] Traditional methods for rapidly replacing existing communication network sites typically employ a hard shutdown strategy: directly shutting down the old site's radio frequency units during pre-set low-traffic windows at night, or uniformly reducing their transmission power, forcing users to passively switch to nearby base stations. This approach relies on manual experience to preset parameters, lacking precise awareness of real-time network load and user behavior, and is prone to coverage blind spots or interference problems, resulting in poor quality wireless service for users. Summary of the Invention

[0004] This invention provides a construction and deployment method for quickly replacing old stations in the existing communication network, the main purpose of which is to improve the user experience of automated replacement of old stations in the existing communication network.

[0005] To achieve the above objectives, the present invention provides a construction and deployment method for rapidly replacing old stations in the existing communication network, comprising:

[0006] Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, and divide the surrounding neighboring areas into a main receiving area and a backup receiving area based on the digital twin mapping model;

[0007] The deep reinforcement learning algorithm is used to simulate the digital twin mapping model in order to shorten the migration time and reduce the handover failure rate, and outputs the power adjustment step size and handover threshold offset for the target old station.

[0008] The power adjustment step size and switching threshold offset are applied to the target old station to trigger the user to report a measurement report, and the user is divided into a high-speed mobile group, a stationary group and a weak coverage group based on the measurement report.

[0009] Generate differentiated migration control commands for the high-speed mobile group, stationary group, and weak coverage group, and collect in real time the user residual rate of the target old station, the main receiving area congestion rate of the main receiving area, and the backup receiving area congestion rate of the backup receiving area after executing the differentiated migration control commands.

[0010] Based on the user residual rate, the congestion rate of the main receiving area, and the congestion rate of the backup receiving area, the power adjustment step size, the switching threshold offset, and the switching weight between the main receiving area and the backup receiving area are dynamically adjusted in a closed loop. When the user residual rate meets the clearing condition, the target old station is cleared, and the target old station is isolated for construction.

[0011] Optionally, a digital twin mapping model of the target old station and its surrounding neighboring areas is constructed, including:

[0012] Collect historical call data, user movement trajectories, and current network operating parameters of the target old station and its surrounding neighboring areas within a preset time period;

[0013] A three-dimensional wireless propagation environment map of the target old station and its surrounding neighboring areas is constructed using ray tracing technology and the existing network engineering parameter data.

[0014] The historical call data and user movement trajectories are mapped onto the three-dimensional wireless propagation environment map to generate a digital twin mapping model of the target old station and its surrounding neighboring areas.

[0015] Optionally, based on the digital twin mapping model, the surrounding neighboring areas are divided into a primary receiving area and a backup receiving area, including:

[0016] In the digital twin mapping model, the service changes of the surrounding neighboring cells after the target old station is relocated are simulated and analyzed, and the remaining capacity and signal coverage overlap depth of the surrounding neighboring cells during the preset relocation period are calculated based on the existing network resource data.

[0017] The surrounding neighboring areas whose remaining capacity meets the preset capacity threshold and whose signal coverage overlap depth meets the preset coverage threshold are marked as the main receiving areas;

[0018] The surrounding neighboring cells whose remaining capacity does not reach the preset capacity threshold but meets the minimum access capacity requirement, or whose signal coverage overlap depth is outside the preset coverage threshold but can provide basic coverage, are marked as backup receiving areas.

[0019] Optionally, a deep reinforcement learning algorithm is used to simulate the digital twin mapping model to shorten migration time and reduce handover failure rate, outputting the power adjustment step size and handover threshold offset for the target old station, including:

[0020] Using a deep reinforcement learning algorithm, an agent for the target old station is constructed, and the current state of the digital twin mapping model is input into the agent. The agent selects an action from the action space based on the current state.

[0021] The action is input into the digital twin mapping model for simulation execution, and the network operation indicators of the target old station after simulation execution are obtained, wherein the network operation indicators include migration time, call drop rate and target neighbor cell load;

[0022] Based on the network operation metrics, the reward value corresponding to the action is calculated using a preset reward function;

[0023] Based on the reward value, the Q network parameters of the agent are updated using gradient descent backpropagation until the Q network parameters converge to a preset convergence threshold. The power adjustment step size and switching threshold offset of the target old station that maximize the cumulative reward are then output.

[0024] Optionally, the generation of the Radio Resource Control (RRC) connection release message includes:

[0025] Based on the current location information of the remaining user terminal and the neighboring cell measurement report, the cell with the best signal quality is selected from the primary and backup receiving cells as the target redirection cell.

[0026] The center frequency of the target redirected cell is obtained, and redirected frequency information containing the center frequency is generated to construct a radio resource control connection release message to be sent to the residual user terminals in the target old cell.

[0027] Optionally, based on the measurement report, users are divided into high-speed mobile groups, stationary groups, and weak coverage groups, including:

[0028] Analyze the user terminal's moving speed, signal strength, and signal strength change rate carried in the measurement report;

[0029] When the user terminal's moving speed is greater than a first speed threshold, the user is determined to be part of a high-speed moving group;

[0030] When the user terminal's moving speed is less than the second speed threshold and the signal strength change rate is less than the preset change rate threshold, the user is determined to be a stationary group.

[0031] When the signal strength is lower than a preset signal strength threshold, the user is determined to be in a weak coverage group;

[0032] Wherein, the first speed threshold is greater than the second speed threshold.

[0033] Optionally, differentiated migration control instructions are generated for the high-speed mobile group, the stationary group, and the weak coverage group, wherein the differentiated migration control instructions include:

[0034] For the static group and the weak coverage group, a handover preference signaling carrying cell reselection priority configuration information of the primary takeover area is generated to guide the static group and the weak coverage group to actively hand over to the primary takeover area.

[0035] For the high-speed mobile group, control commands are generated to keep the original switching parameters unchanged, so as to utilize the natural mobility of the high-speed mobile group to enable it to switch out of the target old station on its own.

[0036] Optionally, based on the user residual rate, the congestion rate of the primary receiving area, and the congestion rate of the backup receiving area, a dynamic closed-loop adjustment is performed on the power adjustment step size, the switching threshold offset, and the switching weight between the primary and backup receiving areas, including:

[0037] Determine whether the user retention rate is higher than a preset retention threshold;

[0038] If the user residual rate is higher than the preset residual threshold, then it is further determined whether the main receiving area congestion rate is higher than the main area congestion threshold.

[0039] If the congestion rate of the primary receiving area is higher than the congestion threshold of the primary area, the weight of the backup receiving area in the handover weight between the primary receiving area and the backup receiving area is increased, and the handover threshold offset of the target old station is increased, so as to reduce the proportion of users handover to the primary receiving area.

[0040] If the congestion rate of the primary receiving area is not higher than the congestion threshold of the primary area, the power adjustment step size is increased and the switching threshold offset of the target old station is reduced to speed up the user's switching to the primary receiving area.

[0041] Optionally, the process of clearing the target old site includes:

[0042] When the user residual rate is lower than the preset residual threshold, a wireless resource control connection release message is sent to the residual user terminals in the target old site.

[0043] The reselection frequency information carried in the radio resource control connection release message is used to point to the center frequency of the primary or backup receiving area, so that the residual user terminal can reselect to the designated surrounding neighboring area.

[0044] Optionally, isolation construction may be carried out on the target old station, including:

[0045] After confirming that no users are accessing the target old station, a transmission blocking command is issued through the network management system to logically cut off the transmission layer link between the target old station and the core network.

[0046] After confirming that the transmission layer link is disconnected, the connection port between the radio frequency unit of the target old station and the antenna feeder system is physically disconnected, and the equipment of the target old station is removed or replaced.

[0047] This invention constructs a digital twin mapping model to simulate and extrapolate the replacement process, and combines deep reinforcement learning technology to pre-generate optimal network parameter adjustment strategies, ensuring the scientific validity and reliability of the solution from the outset. During the execution phase, the system accurately groups users based on real-time measurement reports and implements differentiated migration control. Simultaneously, by dynamically monitoring user retention rates and neighboring cell congestion rates, a closed-loop feedback loop is formed to adaptively optimize key parameters. Ultimately, this method achieves efficient and stable proactive migration and clearing of old site users without interrupting user services or causing network congestion, significantly shortening the service interruption window required by traditional construction methods, and significantly improving the security, efficiency, and user experience of network upgrades. Therefore, this invention can improve the user experience of automated replacement of old sites in existing communication networks. Attached Figure Description

[0048] Figure 1 This is a flowchart illustrating a construction and deployment method for rapidly replacing old stations in an existing communication network, according to an embodiment of the present invention.

[0049] Figure 2 A schematic diagram of a computer device for a construction and deployment method of rapidly replacing old stations in an existing communication network, according to an embodiment of the present invention;

[0050] The objectives, features, and advantages of this invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0051] This application provides a method for rapidly replacing old stations in an existing communication network. The execution entity of this method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the method for rapidly replacing old stations in an existing communication network can be executed by software or hardware installed on a terminal device or a server device. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0052] Reference Figure 1 The diagram shown is a flowchart illustrating a method for rapidly replacing old communication network sites according to an embodiment of the present invention. In this embodiment, the method for rapidly replacing old communication network sites includes:

[0053] S1. Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, and divide the surrounding neighboring areas into a main receiving area and a backup receiving area based on the digital twin mapping model.

[0054] The present invention constructs a digital twin mapping model of the target old station and its surrounding neighboring cells, which can reproduce the complex wireless environment and neighboring cell relationships of the target old station in the current network in virtual space, avoiding the business risks brought about by directly trying and failing on the current network.

[0055] Specifically, the construction of the digital twin mapping model of the target old station and its surrounding neighboring areas includes:

[0056] Collect historical call data, user movement trajectories, and current network operating parameters of the target old station and its surrounding neighboring areas within a preset time period;

[0057] A three-dimensional wireless propagation environment map of the target old station and its surrounding neighboring areas is constructed using ray tracing technology and the existing network engineering parameter data.

[0058] The historical call data and user movement trajectories are mapped onto the three-dimensional wireless propagation environment map to generate a digital twin mapping model of the target old station and its surrounding neighboring areas.

[0059] The target old base station refers to a communication base station entity that needs to be upgraded or replaced and is currently still carrying network user services. The surrounding neighboring cells refer to adjacent communication base station cells that are geographically adjacent to the target old base station and have overlapping radio frequency coverage. The preset time period refers to the time range used to characterize the network service patterns of the target old base station, specifically the time interval between the start and end times of data collection; typically, a period that reflects the daily service characteristics of the target old base station is selected, such as the daily busy and idle periods of the past week or month. The historical traffic data refers to the statistical information of service traffic generated by the target old base station and its surrounding neighboring cells within the preset time period; specifically including but not limited to cell traffic volume (Erl), physical resource block (PRB) utilization rate, number of active users, data throughput, and the distribution ratio data of different service types (such as voice, video, and streaming media). The user movement trajectory refers to the spatiotemporal movement record of the user terminal in the communication network. The current network engineering parameter data refers to the engineering parameters actually configured and operated in the communication network, including key parameters that determine the wireless signal coverage pattern, such as antenna height, azimuth, downtilt angle, transmit power, frequency, PCI, and latitude and longitude coordinates of the target old station and surrounding neighboring areas. The ray tracing technology refers to a wireless propagation prediction and calculation method based on electromagnetic wave propagation theory. The three-dimensional wireless propagation environment map refers to a digital map generated based on ray tracing technology that can intuitively reflect the distribution of wireless signals in three-dimensional space of the target old station and surrounding neighboring areas. The digital twin mapping model refers to a virtual simulation model constructed by dynamically mapping historical traffic data and user movement trajectories onto the three-dimensional wireless propagation environment map; it can digitally reproduce the real network operation status of the target old station and surrounding neighboring areas at a 1:1 scale.

[0060] Optionally, the construction of a three-dimensional wireless propagation environment map of the target old station and its surrounding neighboring areas using ray tracing technology and the existing network engineering parameter data is achieved by using ray tracing technology in combination with the existing network engineering parameter data, simulating the propagation process of electromagnetic waves in a real physical environment, calculating the theoretical signal coverage of each area, and thus constructing a three-dimensional wireless propagation environment map of the target old station and its surrounding neighboring areas.

[0061] Based on the digital twin mapping model, this invention divides the surrounding neighboring areas into primary and backup receiving areas, enabling advance planning of capacity resources and the construction of a flexible carrying system for the surrounding neighboring areas. This ensures that when a large number of users migrate out of the target old site, the surrounding neighboring area network has sufficient absorption capacity, preventing network paralysis caused by disordered access.

[0062] Specifically, the division of the surrounding neighboring areas into a primary receiving area and a backup receiving area based on the digital twin mapping model includes:

[0063] In the digital twin mapping model, the service changes of the surrounding neighboring cells after the target old station is relocated are simulated and analyzed, and the remaining capacity and signal coverage overlap depth of the surrounding neighboring cells during the preset relocation period are calculated based on the existing network resource data.

[0064] The surrounding neighboring areas whose remaining capacity meets the preset capacity threshold and whose signal coverage overlap depth meets the preset coverage threshold are marked as the main receiving areas;

[0065] The surrounding neighboring cells whose remaining capacity does not reach the preset capacity threshold but meets the minimum access capacity requirement, or whose signal coverage overlap depth is outside the preset coverage threshold but can provide basic coverage, are marked as backup receiving areas.

[0066] The service change refers to the expected additional traffic load, number of activated users, and data throughput increase that the surrounding neighboring cells will need to absorb during the migration of users from the target old station. The current network resource data refers to the actual hardware and software resource configuration information of the surrounding neighboring cells under the current network conditions, specifically including the total cell bandwidth, configured maximum uplink and downlink throughput, processing capacity of hardware channel cards, and current resource utilization. The preset migration period refers to the specific time window for the planned migration and decommissioning of users from the target old station. The remaining capacity refers to the maximum additional service volume that the surrounding neighboring cells can still accept within the preset migration period without affecting the normal communication experience of existing users. The signal coverage overlap depth refers to the signal coverage range of the target old station and the surrounding neighboring cells. The signal strength overlap of the overlapping areas of signal coverage in geographic space; the preset capacity threshold refers to the minimum remaining capacity standard used to determine whether a neighboring cell is qualified to become a primary receiving area; the preset coverage threshold refers to the threshold value used to determine whether the signal coverage of the neighboring cell and the target old station have reached the optimal handover state; the primary receiving area refers to a high-quality surrounding neighboring cell with sufficient network resources and closely overlapping with the coverage area of ​​the target old station; the minimum access capacity requirement refers to the minimum amount of idle resources required for the surrounding neighboring cell to allow new users to access; the basic coverage requirement refers to the minimum signal level strength standard that the surrounding neighboring cell can provide in the overlapping edge area or the original coverage blind area of ​​the target old station; the backup receiving area refers to a surrounding neighboring cell with slightly lower resources or coverage conditions than the primary receiving area, but still has basic service capabilities.

[0067] S2. The deep reinforcement learning algorithm is used to simulate the digital twin mapping model in order to shorten the migration time and reduce the handover failure rate, and output the power adjustment step size and handover threshold offset for the target old station.

[0068] This invention utilizes a deep reinforcement learning algorithm to simulate the digital twin mapping model, aiming to shorten migration time and reduce handover failure rate. The output power adjustment step size and handover threshold offset for the target old site significantly improve the efficiency of clearing the target old site, while maximizing the protection of service continuity and communication quality for users of the target old site during the migration process.

[0069] In detail, the simulation using a deep reinforcement learning algorithm in the digital twin mapping model aims to shorten migration time and reduce handover failure rate, outputting the power adjustment step size and handover threshold offset for the target old station, including:

[0070] Using a deep reinforcement learning algorithm, an agent for the target old station is constructed, and the current state of the digital twin mapping model is input into the agent. The agent selects an action from the action space based on the current state.

[0071] The action is input into the digital twin mapping model for simulation execution, and the network operation indicators of the target old station after simulation execution are obtained, wherein the network operation indicators include migration time, call drop rate and target neighbor cell load;

[0072] Based on the network operation metrics, the reward value corresponding to the action is calculated using a preset reward function;

[0073] Based on the reward value, the Q network parameters of the agent are updated using gradient descent backpropagation until the Q network parameters converge to a preset convergence threshold. The power adjustment step size and switching threshold offset of the target old station that maximize the cumulative reward are then output.

[0074] The deep reinforcement learning algorithm refers to a machine learning algorithm that combines the perception capabilities of deep learning with the decision-making capabilities of reinforcement learning. The agent refers to the algorithmic subject that makes autonomous decisions in the digital twin mapping model. The current state refers to the set of feature vectors representing the operational status of the target old station and its surrounding neighboring cells at a certain simulated moment in the digital twin mapping model. Specifically, it includes the total number of currently online users of the target old station, uplink and downlink PRB utilization rates, the remaining available capacity of each surrounding neighboring cell, the current handover success rate, and the signal coverage strength distribution. The action space refers to the discrete set of all possible operational behaviors that the agent can take at each decision moment. This set defines the feasible domain for the agent to adjust network parameters, including all allowed power adjustment step sizes and handover threshold offset combinations. The action refers to performing a specific power adjustment configuration on the target old station or performing a specific offset modification on the handover parameters. The migration time refers to the time from the start of executing the site migration strategy to the target old station. The total simulated time taken for all valid users within the old station to successfully switch to a neighboring cell or release a connection; the call drop rate refers to the probability of abnormal service interruption during the simulated execution of the migration strategy; the target neighboring cell load refers to the current resource occupancy level of the neighboring cells that take over the users diverted from the target old station during the user migration process; the reward value refers to a numerical scalar used to evaluate the quality of the actions taken by the agent; the gradient descent method refers to an optimization algorithm that iteratively updates network parameters by moving along the opposite direction of the gradient of the loss function; the Q-network parameters refer to the set of all learnable weights and biases in the neural network that constitutes the deep Q-network; the convergence threshold refers to a preset numerical standard used to determine whether the agent's training has ended; the power adjustment step size refers to the single adjustment range of the agent's output for the transmission power of the target old station; and the handover threshold offset refers to the adjustment value of the handover parameters output by the agent, specifically the value for fine-tuning the bias parameters of the neighboring cell handover trigger event.

[0075] In another embodiment of the present invention, the reward value corresponding to the action is calculated based on the network operation indicators using a preset reward function, wherein the reward function is:

[0076]

[0077] in, Indicates the reward value. This indicates migration time in network performance metrics. This refers to the call drop rate, a key network performance indicator. Indicates the remaining capacity of the surrounding neighboring areas. This represents the target neighbor cell load in the network operation metrics. Represents the maximum value function. Indicates the migration speed weight. Indicates communication quality weights. This indicates the load safety weight.

[0078] The migration speed weight is a coefficient used to quantify the importance of the optimization objective of shortening migration time; the communication quality weight is a coefficient used to quantify the importance of the optimization objective of reducing handover failure rate; and the load security weight is a coefficient used to quantify the importance of the optimization objective of avoiding neighbor cell overload.

[0079] S3. Apply the power adjustment step size and switching threshold offset to the target old station to trigger the user to report a measurement report, and classify the user into a high-speed mobile group, a stationary group, and a weak coverage group based on the measurement report.

[0080] It should be explained that the measurement report refers to a report containing measurement data sent to the network by the user equipment after scanning and measuring its surrounding wireless environment according to the measurement control instructions issued by the network.

[0081] Based on the measurement report, this invention classifies users into high-speed mobile groups, stationary groups, and weak coverage groups. It identifies user groups with different characteristics such as high-speed movement, stationary status, and weak coverage, which can provide data support for the subsequent implementation of differentiated migration strategies.

[0082] Specifically, the step of classifying users into high-speed mobile groups, stationary groups, and weak coverage groups based on the measurement report includes:

[0083] Analyze the user terminal's moving speed, signal strength, and signal strength change rate carried in the measurement report;

[0084] When the user terminal's moving speed is greater than a first speed threshold, the user is determined to be part of a high-speed moving group;

[0085] When the user terminal's moving speed is less than the second speed threshold and the signal strength change rate is less than the preset change rate threshold, the user is determined to be a stationary group.

[0086] When the signal strength is lower than a preset signal strength threshold, the user is determined to be in a weak coverage group;

[0087] Wherein, the first speed threshold is greater than the second speed threshold.

[0088] Wherein, the user terminal moving speed refers to the rate at which the user terminal (UE) in the target old site moves relative to the base station location per unit time; the signal strength refers to the reference signal received by the user terminal from the target old site or surrounding neighboring cells; the signal strength change rate refers to the rate of change of the signal strength received by the user terminal within a continuous measurement period; the first speed threshold is a numerical standard used to distinguish between high-speed mobile users and low-speed mobile users; the high-speed mobile group refers to the set of users determined to have a moving speed exceeding the first speed threshold during the site relocation process; the second speed threshold is a numerical standard used to distinguish between low-speed mobile users and stationary users; the preset change rate threshold is a numerical standard used to determine whether the signal strength change is drastic; the stationary group refers to the set of users determined to have a moving speed below the second speed threshold and a signal strength change rate less than the preset change rate threshold during the site relocation process; and the weak coverage group refers to the set of users determined to have a currently received signal strength below the preset signal strength threshold during the site relocation process.

[0089] It should be noted that the signal strength change rate is used to characterize the degree of dynamic change in the wireless environment between the user terminal and the base station. For example, when the user moves quickly across the edge of the signal coverage, the signal strength change rate will increase significantly.

[0090] S4. Generate differentiated migration control commands for the high-speed mobile group, stationary group and weak coverage group, and collect in real time the user residual rate of the target old station, the main receiving area congestion rate of the main receiving area and the backup receiving area congestion rate of the backup receiving area after executing the differentiated migration control commands.

[0091] This invention combines the primary receiving area and the backup receiving area to generate differentiated migration control commands for the high-speed mobile group, the stationary group, and the weak coverage group, which can realize intelligent diversion of user flow and greatly improve the migration success rate.

[0092] Specifically, the generation of differentiated migration control instructions for the high-speed mobile group, the stationary group, and the weak coverage group includes:

[0093] For the static group and the weak coverage group, a handover preference signaling carrying cell reselection priority configuration information of the primary takeover area is generated to guide the static group and the weak coverage group to actively hand over to the primary takeover area.

[0094] For the high-speed mobile group, control commands are generated to keep the original switching parameters unchanged, so as to utilize the natural mobility of the high-speed mobile group to enable it to switch out of the target old station on its own.

[0095] The cell reselection priority configuration information refers to the priority level parameters assigned to the primary receiving area relative to the target old station and the serving cell when instructing the user terminal (UE) to make cell reselection and handover decisions in idle or connected states. The handover preference signaling refers to the radio resource control signaling sent by the base station to the user terminal through the air interface. The control instruction refers to the system instruction that does not change the original network configuration parameters. The natural mobility refers to the physical tendency of a high-speed mobile user terminal to leave the coverage area of ​​the target old station and enter the coverage area of ​​other surrounding base stations due to its own movement characteristics (such as taking a high-speed train or car).

[0096] It should be noted that the primary receiving area can be one or more predetermined neighboring cells with good capacity and coverage signal quality. When generating handover preference signaling, the cell with the best signal quality can be preferentially selected as the target cell.

[0097] It should be explained that the user retention rate refers to the ratio of the number of online users who still maintain business connections on the target old site within the current statistical period to the initial total number of online users before the migration control is executed. The primary receiving area congestion rate refers to the percentage of time during which the average utilization rate of physical resource blocks in the primary receiving area exceeds a preset high threshold. The backup receiving area congestion rate refers to the percentage of time during which the average utilization rate of physical resource blocks in the backup receiving area exceeds a preset high threshold.

[0098] S5. Based on the user residual rate, the main receiving area congestion rate, and the backup receiving area congestion rate, dynamically adjust the power adjustment step size, the switching threshold offset, and the switching weight between the main receiving area and the backup receiving area in a closed loop. When the user residual rate meets the clearing condition, the target old station is cleared, and the target old station is isolated for construction.

[0099] Based on the user retention rate, the congestion rate of the primary receiving area, and the congestion rate of the backup receiving area, this invention dynamically adjusts the power adjustment step size, the handover threshold offset, and the handover weight between the primary and backup receiving areas in a closed loop. This effectively solves the problem that static parameters cannot adapt to dynamic network changes, prevents congestion in the target cell, and ensures that users of old sites can migrate continuously and stably, achieving the best balance between migration efficiency and network stability.

[0100] Specifically, the dynamic closed-loop adjustment of the power adjustment step size, handover threshold offset, and handover weight between the primary and backup handover areas based on the user residual rate, the primary handover area congestion rate, and the backup handover area congestion rate includes:

[0101] Determine whether the user retention rate is higher than a preset retention threshold;

[0102] If the user residual rate is higher than the preset residual threshold, then it is further determined whether the main receiving area congestion rate is higher than the main area congestion threshold.

[0103] If the congestion rate of the primary receiving area is higher than the congestion threshold of the primary area, the weight of the backup receiving area in the handover weight between the primary receiving area and the backup receiving area is increased, and the handover threshold offset of the target old station is increased, so as to reduce the proportion of users handover to the primary receiving area.

[0104] If the congestion rate of the primary receiving area is not higher than the congestion threshold of the primary area, the power adjustment step size is increased and the switching threshold offset of the target old station is reduced to speed up the user's switching to the primary receiving area.

[0105] The preset residual threshold is a critical value used to measure the progress of user migration out of the target old site. The main area congestion threshold is a critical value used to determine the current load status of the main receiving area. The main area congestion threshold is obtained through statistics of historical main area congestion data. The weight of the backup receiving area in the "increasing the handover weight between the main receiving area and the backup receiving area" means increasing the priority value of the backup receiving area relative to the main receiving area in the cell reselection or handover parameter configuration on the network side. It should be noted that increasing the weight of the backup receiving area in the handover weight between the main receiving area and the backup receiving area can make it easier for user terminals to meet the trigger conditions for handover to the backup receiving area when determining the handover target. Thus, without changing the parameter configuration of the main receiving area, the user traffic originally planned to flow to the main receiving area is diverted to the backup receiving area by increasing the attractiveness of the backup receiving area.

[0106] When the user residual rate meets the clearing conditions, the present invention performs the clearing of the target old station to ensure that the old station is completely without service operation, providing an absolutely safe working environment for construction personnel and avoiding safety hazards caused by live work or signal interference.

[0107] In detail, the process of clearing the target old site includes:

[0108] When the user residual rate is lower than the preset residual threshold, a wireless resource control connection release message is sent to the residual user terminals in the target old site.

[0109] The reselection frequency information carried in the radio resource control connection release message is used to point to the center frequency of the primary or backup receiving area, so that the residual user terminal can reselect to the designated surrounding neighboring area.

[0110] The preset residual threshold refers to a critical value used to determine whether the relocation process has entered the final stage, for example, it is set to 5% of the total number of users of the target old site. The residual user terminal refers to the set of user terminals that still reside at the target old site after a set period of relocation operations and parameter adjustments and have failed to successfully switch to the primary or backup receiving area. The radio resource control connection release message refers to the radio resource control (RRC) layer protocol message between the base station and the user terminal, which is used to command the user terminal to release the current radio signaling connection and data bearer and switch from the connected state to the idle state. The redirection frequency point information refers to the frequency point parameter in the radio resource control connection release message. The center frequency point refers to the channel number corresponding to the center frequency point occupied by the radio signal in the primary or backup receiving area in the frequency domain.

[0111] Optionally, the generation of the radio resource control connection release message includes:

[0112] Based on the current location information of the remaining user terminal and the neighboring cell measurement report, the cell with the best signal quality is selected from the primary and backup receiving cells as the target redirection cell.

[0113] The center frequency of the target redirected cell is obtained, and redirected frequency information containing the center frequency is generated to construct a radio resource control connection release message to be sent to the residual user terminals in the target old cell.

[0114] Finally, the present invention performs isolation construction on the target old station to achieve rapid replacement of the existing communication network for the target old station.

[0115] In detail, the isolation construction of the target old station includes:

[0116] After confirming that no users are accessing the target old station, a transmission blocking command is issued through the network management system to logically cut off the transmission layer link between the target old station and the core network.

[0117] After confirming that the transmission layer link is disconnected, the connection port between the radio frequency unit of the target old station and the antenna feeder system is physically disconnected, and the equipment of the target old station is removed or replaced.

[0118] The network management system refers to a backend software platform used for centralized monitoring, configuration, and management of base station equipment, transmission links, and wireless performance in a communication network. The transmission blocking command refers to a logical control command sent by the network management system to the target old station to prohibit the flow of service data. The core network refers to the core network part of the mobile communication network located above the wireless access network, responsible for user data routing, switching, mobility management, authentication and accounting, and interconnection with external networks. The transmission layer link refers to the underlying bearer data channel connecting the target old station and the core network. The radio frequency unit refers to the radio frequency remote unit in the target old station system. The antenna feeder system refers to the radio frequency signal transmission and radiation system connecting the output of the radio frequency unit and the spatial wireless channel.

[0119] This invention constructs a digital twin mapping model to simulate and extrapolate the replacement process, and combines deep reinforcement learning technology to pre-generate optimal network parameter adjustment strategies, ensuring the scientific validity and reliability of the solution from the outset. During the execution phase, the system accurately groups users based on real-time measurement reports and implements differentiated migration control. Simultaneously, by dynamically monitoring user retention rates and neighboring cell congestion rates, a closed-loop feedback loop is formed to adaptively optimize key parameters. Ultimately, this method achieves efficient and stable proactive migration and clearing of old site users without interrupting user services or causing network congestion, significantly shortening the service interruption window required by traditional construction methods, and significantly improving the security, efficiency, and user experience of network upgrades. Therefore, this invention can improve the user experience of automated replacement of old sites in existing communication networks.

[0120] In one embodiment, a computer device is provided, which may be a server or a client, and its internal structure diagram may be as follows: Figure 2 As shown. The computer device includes a processor, memory, network interface, and database connected via a system bus. The processor provides computing and control capabilities. The memory includes non-volatile and / or volatile storage media and internal memory. The non-volatile storage media stores the operating system, computer programs, and database. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The network interface is used for communication with external clients via a network connection. When the computer program is executed by the processor, it implements functions or steps on the server or client side of a method for quickly replacing old communication network sites.

[0121] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to perform the following steps:

[0122] Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, and divide the surrounding neighboring areas into a main receiving area and a backup receiving area based on the digital twin mapping model;

[0123] The deep reinforcement learning algorithm is used to simulate the digital twin mapping model in order to shorten the migration time and reduce the handover failure rate, and outputs the power adjustment step size and handover threshold offset for the target old station.

[0124] The power adjustment step size and switching threshold offset are applied to the target old station to trigger the user to report a measurement report, and the user is divided into a high-speed mobile group, a stationary group and a weak coverage group based on the measurement report.

[0125] Generate differentiated migration control commands for the high-speed mobile group, stationary group, and weak coverage group, and collect in real time the user residual rate of the target old station, the main receiving area congestion rate of the main receiving area, and the backup receiving area congestion rate of the backup receiving area after executing the differentiated migration control commands.

[0126] Based on the user residual rate, the congestion rate of the main receiving area, and the congestion rate of the backup receiving area, the power adjustment step size, the switching threshold offset, and the switching weight between the main receiving area and the backup receiving area are dynamically adjusted in a closed loop. When the user residual rate meets the clearing condition, the target old station is cleared, and the target old station is isolated for construction.

[0127] In one embodiment, a computer-readable storage medium is provided having a computer program stored thereon, the computer program performing the following steps when executed by a processor:

[0128] Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, and divide the surrounding neighboring areas into a main receiving area and a backup receiving area based on the digital twin mapping model;

[0129] The deep reinforcement learning algorithm is used to simulate the digital twin mapping model in order to shorten the migration time and reduce the handover failure rate, and outputs the power adjustment step size and handover threshold offset for the target old station.

[0130] The power adjustment step size and switching threshold offset are applied to the target old station to trigger the user to report a measurement report, and the user is divided into a high-speed mobile group, a stationary group and a weak coverage group based on the measurement report.

[0131] Generate differentiated migration control commands for the high-speed mobile group, stationary group, and weak coverage group, and collect in real time the user residual rate of the target old station, the main receiving area congestion rate of the main receiving area, and the backup receiving area congestion rate of the backup receiving area after executing the differentiated migration control commands.

[0132] Based on the user residual rate, the congestion rate of the main receiving area, and the congestion rate of the backup receiving area, the power adjustment step size, the switching threshold offset, and the switching weight between the main receiving area and the backup receiving area are dynamically adjusted in a closed loop. When the user residual rate meets the clearing condition, the target old station is cleared, and the target old station is isolated for construction.

[0133] It should be noted that the functions or steps that can be implemented by the computer-readable storage medium or computer device described above can be referred to the relevant descriptions on the server side and client side in the foregoing method embodiments. To avoid repetition, they will not be described one by one here.

[0134] Those skilled in the art will understand that all or part of the processes in the above embodiments can be implemented by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer-readable storage medium. When executed, the computer program can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM), etc.

[0135] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is used as an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above.

[0136] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0137] Finally, it should be noted that in the above embodiments, each embodiment can be combined with each other or independent. Deleting any one of them will not affect the technical implementation of other embodiments. The above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A construction and deployment method for quickly replacing old sites in the existing communication network, characterized in that, The method includes: Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, and divide the surrounding neighboring areas into a main receiving area and a backup receiving area based on the digital twin mapping model; The deep reinforcement learning algorithm is used to simulate the digital twin mapping model in order to shorten the migration time and reduce the handover failure rate, and outputs the power adjustment step size and handover threshold offset for the target old station. The power adjustment step size and switching threshold offset are applied to the target old station to trigger the user to report a measurement report, and the user is divided into a high-speed mobile group, a stationary group and a weak coverage group based on the measurement report. Generate differentiated migration control commands for the high-speed mobile group, stationary group, and weak coverage group, and collect in real time the user residual rate of the target old station, the main receiving area congestion rate of the main receiving area, and the backup receiving area congestion rate of the backup receiving area after executing the differentiated migration control commands. Based on the user residual rate, the congestion rate of the main receiving area, and the congestion rate of the backup receiving area, the power adjustment step size, the switching threshold offset, and the switching weight between the main receiving area and the backup receiving area are dynamically adjusted in a closed loop. When the user residual rate meets the clearing condition, the target old station is cleared, and the target old station is isolated for construction.

2. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, Construct a digital twin mapping model of the target old station and its surrounding neighboring areas, including: Collect historical call data, user movement trajectories, and current network operating parameters of the target old station and its surrounding neighboring areas within a preset time period; A three-dimensional wireless propagation environment map of the target old station and its surrounding neighboring areas is constructed using ray tracing technology and the existing network engineering parameter data. The historical call data and user movement trajectories are mapped onto the three-dimensional wireless propagation environment map to generate a digital twin mapping model of the target old station and its surrounding neighboring areas.

3. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, Based on the aforementioned digital twin mapping model, the surrounding neighboring areas are divided into a primary receiving area and a backup receiving area, including: In the digital twin mapping model, the service changes of the surrounding neighboring cells after the target old station is relocated are simulated and analyzed, and the remaining capacity and signal coverage overlap depth of the surrounding neighboring cells during the preset relocation period are calculated based on the existing network resource data. The surrounding neighboring areas whose remaining capacity meets the preset capacity threshold and whose signal coverage overlap depth meets the preset coverage threshold are marked as the main receiving areas; The surrounding neighboring cells whose remaining capacity does not reach the preset capacity threshold but meets the minimum access capacity requirement, or whose signal coverage overlap depth is outside the preset coverage threshold but can provide basic coverage, are marked as backup receiving areas.

4. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, The digital twin mapping model is simulated using a deep reinforcement learning algorithm to shorten migration time and reduce handover failure rate, outputting the power adjustment step size and handover threshold offset for the target old station, including: Using a deep reinforcement learning algorithm, an agent for the target old station is constructed, and the current state of the digital twin mapping model is input into the agent. The agent selects an action from the action space based on the current state. The action is input into the digital twin mapping model for simulation execution, and the network operation indicators of the target old station after simulation execution are obtained, wherein the network operation indicators include migration time, call drop rate and target neighbor cell load; Based on the network operation metrics, the reward value corresponding to the action is calculated using a preset reward function; Based on the reward value, the Q network parameters of the agent are updated using gradient descent backpropagation until the Q network parameters converge to a preset convergence threshold. The power adjustment step size and switching threshold offset of the target old station that maximize the cumulative reward are then output.

5. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, Based on the measurement report, users are divided into high-speed mobile groups, stationary groups, and weak coverage groups, including: Analyze the user terminal's moving speed, signal strength, and signal strength change rate carried in the measurement report; When the user terminal's moving speed is greater than a first speed threshold, the user is determined to be part of a high-speed moving group; When the user terminal's moving speed is less than the second speed threshold and the signal strength change rate is less than the preset change rate threshold, the user is determined to be a stationary group. When the signal strength is lower than a preset signal strength threshold, the user is determined to be in a weak coverage group; Wherein, the first speed threshold is greater than the second speed threshold.

6. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, Generate differentiated migration control instructions for the high-speed mobile group, stationary group, and weak coverage group, wherein the differentiated migration control instructions include: For the static group and the weak coverage group, a handover preference signaling carrying cell reselection priority configuration information of the primary takeover area is generated to guide the static group and the weak coverage group to actively hand over to the primary takeover area. For the high-speed mobile group, control commands are generated to keep the original switching parameters unchanged, so as to utilize the natural mobility of the high-speed mobile group to enable it to switch out of the target old station on its own.

7. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, Based on the user residual rate, the congestion rate of the primary receiving area, and the congestion rate of the backup receiving area, a dynamic closed-loop adjustment is performed on the power adjustment step size, the switching threshold offset, and the switching weight between the primary and backup receiving areas, including: Determine whether the user retention rate is higher than a preset retention threshold; If the user residual rate is higher than the preset residual threshold, then it is further determined whether the main receiving area congestion rate is higher than the main area congestion threshold. If the congestion rate of the primary receiving area is higher than the congestion threshold of the primary area, the weight of the backup receiving area in the handover weight between the primary receiving area and the backup receiving area is increased, and the handover threshold offset of the target old station is increased, so as to reduce the proportion of users handover to the primary receiving area. If the congestion rate of the primary receiving area is not higher than the congestion threshold of the primary area, the power adjustment step size is increased and the switching threshold offset of the target old station is reduced to speed up the user's switching to the primary receiving area.

8. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, The process of clearing the target old site includes: When the user residual rate is lower than the preset residual threshold, a wireless resource control connection release message is sent to the residual user terminals in the target old site. The reselection frequency information carried in the radio resource control connection release message is used to point to the center frequency of the primary or backup receiving area, so that the residual user terminal can reselect to the designated surrounding neighboring area.

9. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 8, characterized in that, The generation of the Radio Resource Control (RRC) connection release message includes: Based on the current location information of the remaining user terminal and the neighboring cell measurement report, the cell with the best signal quality is selected from the primary and backup receiving cells as the target redirection cell. The center frequency of the target redirected cell is obtained, and redirected frequency information containing the center frequency is generated to construct a radio resource control connection release message to be sent to the residual user terminals in the target old cell.

10. The construction and deployment method for rapidly replacing old stations in the existing communication network as described in claim 1, characterized in that, The isolation construction of the target old station includes: After confirming that no users are accessing the target old station, a transmission blocking command is issued through the network management system to logically cut off the transmission layer link between the target old station and the core network. After confirming that the transmission layer link is disconnected, the connection port between the radio frequency unit of the target old station and the antenna feeder system is physically disconnected, and the equipment of the target old station is removed or replaced.

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