CN-122028063-A - Beam management method, device and program product

Abstract

The application discloses a beam management method, a beam management device and a program product. And predicting the device type based on the channel characteristic data through a device prediction model, and determining the target device type. And carrying out beam management on the target equipment according to the beam management strategy corresponding to the type of the target equipment. The technical scheme provided by the application can comprehensively utilize the multidimensional channel characteristics extracted from the sounding reference signal, efficiently and accurately detect and identify the type of the target equipment, and can adaptively adjust the beam management strategy based on the identification result. The method effectively reduces the algorithm development difficulty and the model construction cost in the beam management process, does not need the calculation support of user equipment, can realize accurate and effective equipment prediction and beam strategy management for dynamic communication scenes, greatly improves the communication quality and efficiency, and effectively optimizes the actual communication experience of users.

Inventors

• CHEN XIAOMING

Assignees

• 中国移动通信集团湖南有限公司
• 中国移动通信集团有限公司

Dates

Publication Date

20260512

Application Date

20260205

Claims (10)

1. 1. A method of beam management, comprising: Acquiring a sounding reference signal of a target device; Performing channel characteristic analysis on the sounding reference signal, and determining channel characteristic data of the target equipment, wherein the channel characteristic data at least comprises antenna angle information, signal intensity information, motion state information and multipath richness information; performing equipment type prediction on the target equipment based on the channel characteristic data through a pre-trained equipment prediction model, and determining the target equipment type of the target equipment; And carrying out beam management on the target equipment according to the beam management strategy corresponding to the type of the target equipment.
2. 2. The method of claim 1, wherein performing channel characterization on the sounding reference signal to determine channel characterization data for the target device comprises: determining received signal vectors of the sounding reference signal at a plurality of sampling moments in different symbol periods through a signal receiving base station; Calculating a covariance matrix of the sounding reference signal according to a plurality of received signal vectors; performing eigenvalue decomposition on the covariance matrix, and extracting a signal subspace and a noise subspace of the detection reference signal; determining an array popular vector matched with the signal subspace from a plurality of preset array popular vectors to be selected based on the signal subspace; And estimating pitch angles of the sounding reference signals in a plurality of symbol periods according to the array epidemic vector and the noise subspace, and determining a target pitch angle as the antenna angle information.
3. 3. The method of claim 1, wherein performing channel characterization on the sounding reference signal to determine channel characterization data for the target device comprises: Monitoring a plurality of reference signal receiving powers of the sounding reference signal in a preset monitoring window; And calculating standard deviation of the received powers of the plurality of reference signals as the signal strength information.
4. 4. The method of claim 1, wherein performing channel characterization on the sounding reference signal to determine channel characterization data for the target device comprises: Determining, for each symbol period, an instantaneous doppler shift between the symbol period and a preceding symbol period based on a channel frequency response of the sounding reference signal in the symbol period and a channel frequency response in the preceding symbol period; Constructing a Doppler shift sequence corresponding to the detection reference signal based on the instantaneous Doppler shifts of a plurality of symbol periods, and determining a differential sequence of the Doppler shift sequence; and calculating the standard deviation of the differential sequence as the motion state information.
5. 5. The method of claim 1, wherein performing channel characterization on the sounding reference signal to determine channel characterization data for the target device comprises: performing inverse Fourier transform on the sounding reference signal based on the channel frequency response of the sounding reference signal and a preset standard signal sequence, and determining channel impulse responses corresponding to the sounding reference signal in different delays; Calculating a power delay spectrum corresponding to the time delay according to the channel impulse response corresponding to each time delay; According to the power time delay spectrum corresponding to each time delay, carrying out weighted average on a plurality of time delays, and determining the average time delay of the sounding reference signal; And according to the average time delay and the power time delay spectrum corresponding to each time delay, carrying out weighted standard deviation calculation on the time delays, and determining root mean square time delay expansion corresponding to the sounding reference signal as the multipath richness information.
6. 6. The method of claim 1, wherein predicting the target device type based on the channel characteristic data by a pre-trained device prediction model, determining the target device type for the target device, comprises: the antenna angle information, the signal intensity information, the motion state information and the multipath richness information are weighted and fused through the equipment prediction model, and the prediction equipment score of the target equipment is determined; Probability mapping is carried out on the scores of the prediction devices, and the device type probability of the target device is determined; and determining the target equipment type based on the equipment type probability and a preset probability threshold.
7. 7. The method of claim 6, wherein the target device types include at least ground terminals and air terminals; based on the device type probability and a preset probability threshold, determining the target device type includes: Under the condition that the equipment type probability is larger than the preset probability threshold, determining that the target equipment is the air terminal; And under the condition that the equipment type probability is not greater than the preset probability threshold, determining that the target equipment is the ground terminal.
8. 8. The method of claim 1, wherein performing beam management on the target device according to a beam management policy corresponding to the target device type comprises: Determining strategy parameters of the beam management strategy according to the type of the target equipment, wherein the strategy parameters at least comprise beam width, beam direction, beam update frequency and beam switching mode; And adjusting the beam coverage of a signal receiving base station aiming at the target equipment based on the beam width, adjusting the beam main lobe direction of the signal receiving base station aiming at the target equipment based on the beam direction, determining the updating period of the strategy parameters based on the beam updating frequency, and carrying out beam switching on the target equipment based on the beam switching mode under the condition that the target equipment needs to carry out beam switching.
9. 9. A beam management apparatus, comprising: the signal acquisition module is used for acquiring a detection reference signal of the target equipment; The channel analysis module is used for carrying out channel characteristic analysis on the detection reference signal and determining channel characteristic data of the target equipment, wherein the channel characteristic data at least comprises antenna angle information, signal strength information, motion state information and multipath richness information; the device prediction module is used for predicting the device type of the target device based on the channel characteristic data through a pre-trained device prediction model and determining the target device type of the target device; and the beam management module is used for carrying out beam management on the target equipment according to the beam management strategy corresponding to the type of the target equipment.
10. 10. A computer program product, characterized in that instructions in the computer program product, when executed by a processor of an electronic device, cause the electronic device to perform the beam management method according to any of claims 1-8.

Description

Beam management method, device and program product Technical Field The present application relates to the field of wireless communications, and in particular, to a beam management method, apparatus, and program product. Background In the fifth generation mobile communication technology, beam management is one of core technologies for realizing high-band, high-capacity communication. Through accurate wave beam forming and tracking, the path loss of the high-frequency signals in the communication process can be effectively compensated, and the network coverage and user communication experience are improved. Currently, there are significant limitations in the conventional techniques for beam management methods between a user equipment and a communication base station. The traditional beam management scheme generally needs to construct and train different calculation models for different actual communication scenes, needs to collect and process a large amount of training data, seriously increases algorithm development and operation and maintenance costs, drags beam management efficiency and reduces communication quality, and has serious defects of insufficient adaptation to dynamic scenes and dependence on a static database in practical application. In addition, the traditional beam management method is relatively dependent on the computing capability and hardware configuration of the user equipment, so that low-delay and effective beam management cannot be realized in the user communication process, and further the communication quality and the actual communication experience of the user are affected. Therefore, how to realize efficient and accurate beam management is an important problem to be solved at present. Disclosure of Invention The embodiment of the application provides a beam management method, a beam management device and a program product, which can effectively improve the prediction precision and efficiency of user equipment, further realize accurate and effective beam management aiming at the user equipment and improve the communication quality and efficiency. In a first aspect, an embodiment of the present application provides a beam management method, including: Acquiring a sounding reference signal of a target device; Channel characteristic analysis is carried out on the detection reference signal, channel characteristic data of target equipment is determined, and the channel characteristic data at least comprises antenna angle information, signal intensity information, motion state information and multipath richness information; performing equipment type prediction on the target equipment based on the channel characteristic data through a pre-trained equipment prediction model, and determining the target equipment type of the target equipment; and carrying out beam management on the target equipment according to the beam management strategy corresponding to the type of the target equipment. In a second aspect, an embodiment of the present application provides a beam management apparatus, including: the signal acquisition module is used for acquiring a detection reference signal of the target equipment; The channel analysis module is used for carrying out channel characteristic analysis on the detection reference signal and determining channel characteristic data of the target equipment, wherein the channel characteristic data at least comprises antenna angle information, signal intensity information, motion state information and multipath richness information; the device prediction module is used for predicting the device type of the target device based on the channel characteristic data through a pre-trained device prediction model and determining the target device type of the target device; and the beam management module is used for carrying out beam management on the target equipment according to the beam management strategy corresponding to the type of the target equipment. In a third aspect, an embodiment of the present application provides a terminal device, including a processor and a memory storing computer program instructions; The processor, when executing the computer program instructions, implements the beam management method as in the first aspect. In a fourth aspect, embodiments of the present application provide a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement a beam management method as in the first aspect. In a fifth aspect, embodiments of the present application provide a computer program product, instructions in which, when executed by a processor of an electronic device, cause the electronic device to perform the beam management method as in the first aspect. The technical scheme provided by the embodiment of the application at least has the following beneficial effects: The beam management method provided by the embodiment of the application comprises the steps of firstly, carrying out channel cha