AI Channel Reporting With Beam Amplitude Restriction
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Solution Overview
Problem
In existing AI-based channel information reporting, terminals report channel feature information for beams where the network side cannot radiate power, increasing complexity and data volume, leading to waste of air interface resources and computing power.
Innovation Solution
The terminal restricts amplitudes in reported channel information using amplitude restriction information, and processes the channel information using AI modes to reduce unnecessary beam information, thereby reducing complexity and data volume.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the terminal reports channel feature information for all beams using AI-based compression, then the channel information compression ratio is improved, but the complexity and data volume of reported information increases when beams include unnecessary directions
Solution Approach 1:
The patent segments the beam set into two categories: first beams (directions where the base station cannot radiate power) and second beams (other directions). The terminal performs different processing on these segments - applying amplitude restriction to first beams and normal AI compression to second beams. This segmentation resolves the contradiction by allowing comprehensive channel information compression while eliminating unnecessary data from restricted directions.
Solution Approach 2:
The patent applies preliminary amplitude restriction processing to the projection coefficients of first beams before performing AI-based compression. By pre-restricting the amplitudes of unnecessary beam information, the system reduces the data volume and complexity that will subsequently undergo AI compression, thereby improving the overall compression ratio while maintaining manageable complexity.
2Loss of information
If the terminal reports channel feature information for all beams, then the completeness of channel information is improved, but the waste of air interface resources and computing power increases
Solution Approach 1:
The patent extracts and identifies first beams (directions where the base station cannot radiate power) from the complete set of beam information. By separating these unnecessary beams from the reportable information, the system maintains completeness for valid directions while eliminating waste associated with restricted directions, thus resolving the contradiction between information completeness and resource efficiency.
Solution Approach 2:
The patent applies different quality levels to different beam segments: first beams receive amplitude restriction (reducing their information content to minimal necessary levels), while second beams receive full AI compression processing. This local differentiation resolves the contradiction by optimizing resource usage for each beam type according to its necessity, maintaining completeness where needed while reducing waste where not needed.
Data Source
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Figure 2b~3
Figure 4a~4b
AI summary
This application discloses an information processing method, an information processing apparatus, a terminal, and a network side device, and belongs to the field of communication technologies. The information processing method according to an embodiment of this application includes: A terminal obtains first information in a case that the terminal reports channel information to a network side device based on an AI mode. The terminal performs first processing on first channel information based on the first information, to obtain second channel information, where the first processing is used for restricting an amplitude of a projection coefficient corresponding to a first beam in the first channel information, the AI mode is used for processing the second channel information, and the first information is related to at least one of the first beam and the first processing.