Intelligent beamforming method, apparatus and intelligent computing device
An intelligent beamforming method and apparatus are disclosed. The intelligent beamforming apparatus may acquire information about a beamforming environment around a plurality of antennas, feed beamforming configuration information into a pre-trained beamforming configuration model, acquire optimal beamforming configuration information for the plurality of antennas as outputs from the beamforming configuration model, and configure beamforming for the plurality of antennas based on the optimal beamforming configuration information. Therefore, when there is a deviation in direction from the linearity of beams in an actual-use environment, it is possible to identify information about the surrounding environment and provide beamforming customized for the environment. One or more between an intelligent beamforming apparatus and method and an intelligent computing device according to the present disclosure may be associated with an artificial intelligence module, an unmanned aerial vehicle (UAV), an augmented reality (AR) device, a virtual reality (VR) device, a 5G service-related device, etc.
1. An method of performing intelligent beamforming in a wireless communication system, the method comprising:
obtaining beamforming environment information related to an arrangement of obstacles around a plurality of antennas;
feeding the beamforming environment information into a pre-trained beamforming configuration model;
obtaining optimal beamforming configuration information for the plurality of antennas as outputs from the beamforming configuration model; and
configuring beamforming for the plurality of antennas based on the optimal beamforming configuration information.
2. The method of claim 1 , wherein the obtaining of the beamforming environment information comprises:
transmitting a reference signal to an external antenna from the plurality of antennas;
receiving a response signal in response to the reference signal; and
obtaining the beamforming environment information based on the response signal.
3. The method of claim 2 , wherein the beamforming environment information comprises information related to time taken to receive the response signal.
4. The method of claim 1 , wherein the optimal beamforming configuration information for the plurality of antennas comprises angle setting information for the plurality of antennas.
5. An apparatus configured to perform intelligent beamforming in a wireless communication system, the apparatus comprising:
a processor configured to:
obtain beamforming environment information related to an arrangement of obstacles around a plurality of antennas,
feed the beamforming environment information into a pre-trained beamforming configuration model,
obtain optimal beamforming configuration information for the plurality of antennas as outputs from the beamforming configuration model, and
configure beamforming for the plurality of antennas based on the optimal beamforming configuration information.
6. The apparatus of claim 5 , wherein the processor is further configured to (i) transmit a reference signal to an external antenna from the plurality of antennas, (ii) receive a response signal to the reference signal, and (iii) obtain the beamforming environment information based on the response signal.
7. The apparatus of claim 6 , wherein the beamforming environment information comprises information related to time taken to receive the response signal.
8. The apparatus of claim 5 , wherein the optimal beamforming configuration information for the plurality of antennas comprises angle setting information for the plurality of antennas.
9. A non-transitory, computer-readable recording medium storing computer-executable instructions that, based on being executed by one or more processors, control an apparatus to perform operations comprising,
obtaining beamforming environment information related to an arrangement of obstacles around a plurality of antennas;
feeding the beamforming environment information into a pre-trained beamforming configuration model;
obtaining optimal beamforming configuration information for the plurality of antennas as outputs from the beamforming configuration model; and
configuring beamforming for the plurality of antennas based on the optimal beamforming configuration information.