CN-122028080-A - Cross-system wireless signal collaborative optimization method and system based on intelligent reflecting surface

CN122028080ACN 122028080 ACN122028080 ACN 122028080ACN-122028080-A

Abstract

The application relates to a cross-system wireless signal collaborative optimization method and a system based on an intelligent reflection surface, wherein the method comprises the steps of detecting an uplink reference signal sent by a user terminal in a preset communication space through any communication operator network through a deployed RIS array cluster; the method comprises the steps of carrying out evaluation on the environmental quality in a preset communication space based on the signal to obtain the communication environmental quality score of the preset communication space, self-adaptively starting an RIS gain strategy for a user terminal based on the communication environmental quality score, and further providing cross-system wireless signal collaborative optimization for the user terminal. The application overcomes the limitation of the RIS optimization scheme of a single operator network by utilizing the universal RIS array cluster, completes the unified optimization of cross-system, provides the self-adaptive RIS gain strategy for the user terminal based on the communication environment quality, can dynamically adjust according to the real-time service requirement and the environment change, and improves the resource allocation efficiency.

Inventors

FANG DAN
Li Tajiang
YUAN PING
LI WEI
WANG XIAOJUN
HUANG WEICHENG

Assignees

华信咨询设计研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20260413

Claims (10)

1. The cross-system wireless signal collaborative optimization method based on the intelligent reflecting surface is characterized by comprising the following steps of: detecting an uplink reference signal sent by a user terminal in a preset communication space through a deployed RIS array cluster, wherein the uplink reference signal is sent out through any communication operator network; Based on the uplink reference signal, evaluating the environmental quality in the preset communication space to obtain the communication environmental quality fraction of the preset communication space; based on the communication environment quality score, an RIS gain strategy is adaptively started for the user terminal; And providing cross-system wireless signal collaborative optimization for the user terminal through the RIS gain strategy based on the RIS panel in the RIS array cluster.
2. The method of claim 1, wherein adaptively enabling the RIS gain strategy for the user terminal based on the communication environment quality score comprises: Based on the communication environment quality score, judging whether RIS array clusters are started for the user terminal or not: if the quality score of the communication environment is greater than or equal to a first score threshold, the communication environment in the preset communication space is good in quality, and RIS gain strategies are not started so as to save energy sources and reduce system complexity and signal processing expenditure; if the communication environment quality score is smaller than a second score threshold, the communication environment quality in the preset communication space is poor, and an RIS gain strategy is started to reconstruct a communication link; and if the quality fraction of the communication environment is smaller than the first fraction threshold and larger than or equal to the second fraction threshold, the RIS gain strategy is adaptively started for the user terminal.
3. The method according to claim 1 or 2, wherein adaptively enabling an RIS gain strategy for the user terminal comprises: A target RIS gain policy is determined based on the communication traffic demands of the user terminal and a target RIS panel ‌ corresponding to the communication traffic demands is activated, wherein the communication traffic demands include a traffic demand for enhanced mobile broadband eMBB, a traffic demand for ultra-reliable low latency communication uRLLC, a traffic demand for mass machine class communication mMTC.
4. A method according to claim 3, wherein determining a target RIS gain policy based on the communication traffic demand of the user terminal comprises: analyzing the communication service flow characteristics of the user terminal, and identifying the communication service requirements of the user terminal in real time; Mapping the communication service demand into a corresponding wireless channel KPI demand vector through a service QoS feature library; And based on the wireless channel KPI demand vector, aiming at maximizing the service satisfaction degree of the RIS array cluster, creating a corresponding target RIS gain strategy for the user terminal.
5. A method according to claim 3, wherein activating a target RIS panel corresponding to the communications traffic demand comprises: and activating a target RIS panel corresponding to the communication service requirement in the RIS array cluster, and driving the target RIS panel to point to the user terminal so as to carry out mobile tracking.
6. The method of claim 5, wherein driving the target RIS panel toward the user terminal for movement tracking comprises: for the activated target RIS panel in the RIS array cluster, calling a trained liquid neural network model to calculate the optimal phase configuration; And driving the target RIS panel to form a dynamic beam through the optimal phase configuration, wherein the dynamic beam points to the user terminal and carries out movement tracking.
7. The method of claim 5, wherein providing cross-system wireless signal co-optimization for the user terminal via the RIS gain policy based on RIS panels in the RIS array cluster comprises: And under the condition that the activated target RIS panel in the RIS array cluster continuously points to the user terminal, cross-system wireless signal collaborative optimization is provided for the user terminal through the target RIS gain strategy.
8. The method according to claim 7, characterized in that the method comprises: Targeting the RIS panel with an effective aperture equal to half the target wavelength, determining the array scale and the unit spacing of the RIS panel through an equivalent vibrator size calculation formula; Each RIS panel to be deployed in the RIS array cluster is determined based on the array size and cell spacing of the RIS panels.
9. The method of claim 1, wherein evaluating the environmental quality within a preset communication space based on the uplink reference signal, the obtaining a communication environment quality score for the preset communication space comprises: Based on the uplink reference signals, respectively calculating signal strength, signal quality, data transmission speed and transmission reliability in the preset communication space; And evaluating the environmental quality in the preset communication space based on the signal strength, the signal quality, the data transmission speed and the transmission reliability to obtain a communication environmental quality score Q env of the preset communication space.
10. A cross-system wireless signal collaborative optimization system based on an intelligent reflection plane, which is characterized in that the system is used for executing the method of any one of claims 1 to 9, and comprises an RIS intelligent controller; the RIS intelligent controller is used for detecting an uplink reference signal sent by a user terminal in a preset communication space through a deployed RIS array cluster, wherein the uplink reference signal is sent out through any communication operator network; the RIS intelligent controller is used for evaluating the environmental quality in the preset communication space according to the uplink reference signal to obtain the communication environmental quality fraction of the preset communication space; the RIS intelligent controller is used for adaptively starting RIS gain strategy for the user terminal according to the quality score of the communication environment; The RIS intelligent controller is used for providing cross-system wireless signal collaborative optimization for the user terminal through the RIS gain strategy according to the RIS panel in the RIS array cluster.

Description

Cross-system wireless signal collaborative optimization method and system based on intelligent reflecting surface Technical Field The application relates to the technical field of mobile communication, in particular to a cross-system wireless signal collaborative optimization method and system based on an intelligent reflecting surface. Background In recent years, with the large-scale deployment of 5G networks and the rapid development of 6G technologies, wireless communication systems are facing increasingly complex coverage requirements and high-density connection challenges. Particularly in indoor environments, there are a wide variety of terminals requiring wireless networks, including smart home devices, office and learning devices, mobile and portable devices, smart robots, smart medicine, etc., none of which do not require good wireless signals to be provided indoors. Therefore, the coverage of wireless networks with different frequency bands and different systems exists in the same indoor space, the indoor environment is complex under the influence of decoration, partition, equipment and the like, each network has the problems of multipath effect, signal attenuation and interference, and the requirements of intelligent home, industrial Internet of things and immersive multimedia application on high-quality connection are difficult to meet. At present, RIS (Reconfigurable Intelligent Surface, reconfigurable intelligent surface; also called IRS, INTELLIGENT REFLECTION SURFACE, intelligent reflecting surface) ‌ is taken as a revolutionary technology, signal enhancement, interference suppression and coverage expansion can be realized by dynamically regulating and controlling the propagation characteristics of electromagnetic waves, meanwhile, the advantages of low power consumption, low cost and high flexibility are achieved, and RIS technology has been developed on a long-term basis from morphology (including curved surface, plane, flexibility, transparency and the like), materials (including metal, graphene, semiconductor, metamaterial base and the like), and functions (including reflection type, projection type, holographic and the like) and has become a solution for optimizing the performance of a wireless communication network. However, there are many improvements in the existing RIS solution, for example, it is generally only used to serve a single operator network, and it is difficult to implement cross-system unified optimization. At present, no effective solution is proposed for how to optimize the application of RIS technology in indoor wireless communication in the related technology. Disclosure of Invention The embodiment of the application provides a cross-system wireless signal collaborative optimization method and a cross-system wireless signal collaborative optimization system based on an intelligent reflecting surface, which at least solve the problem of how to optimize the application of RIS technology in indoor wireless communication in the related technology. In a first aspect, an embodiment of the present application provides a cross-system wireless signal collaborative optimization method based on an intelligent reflection surface, where the method includes: detecting an uplink reference signal sent by a user terminal in a preset communication space through a deployed RIS array cluster, wherein the uplink reference signal is sent out through any communication operator network; Based on the uplink reference signal, evaluating the environmental quality in the preset communication space to obtain the communication environmental quality fraction of the preset communication space; based on the communication environment quality score, an RIS gain strategy is adaptively started for the user terminal; And providing cross-system wireless signal collaborative optimization for the user terminal through the RIS gain strategy based on the RIS panel in the RIS array cluster. In some of these embodiments, adaptively enabling the RIS gain strategy for the user terminal based on the communication environment quality score comprises: Based on the communication environment quality score, judging whether RIS array clusters are started for the user terminal or not: if the quality score of the communication environment is greater than or equal to a first score threshold, the communication environment in the preset communication space is good in quality, and RIS gain strategies are not started so as to save energy sources and reduce system complexity and signal processing expenditure; if the communication environment quality score is smaller than a second score threshold, the communication environment quality in the preset communication space is poor, and an RIS gain strategy is started to reconstruct a communication link; and if the quality fraction of the communication environment is smaller than the first fraction threshold and larger than or equal to the second fraction threshold, the RIS gain strate