Massive MIMO CSI Feedback Using AI/ML Precoding Compression
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing methods for channel state information (CSI) feedback in MIMO technology, particularly in massive MIMO scenarios, result in excessive uplink feedback due to the large number of antennas, necessitating a reduction in feedback overhead to enhance 5G and 6G wireless communication performance.
Innovation Solution
Implementing AI/ML-based CSI generation and reconstruction methods to normalize CSI feedback, including AI/ML models for encoding and decoding, and configuring terminal equipment and network devices to manage precoding matrix information and channel state information generation models, ensuring efficient feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the number of antennas of the network device is increased to provide higher channel capacity in massive MIMO, then the channel capacity is improved, but the amount of feedback on channel state information becomes excessively large
Solution Approach 1:
The patent segments the precoding matrix information into multiple parts: a first codebook index indicating a first precoding matrix, and a second codebook index indicating a second precoding matrix. This segmentation allows the terminal to feedback channel state information in a more efficient manner, reducing the overall feedback overhead while maintaining accuracy for massive MIMO systems with large numbers of antennas.
Solution Approach 2:
The patent introduces a new dimension for CSI feedback by using multiple codebook indexes instead of a single comprehensive feedback message. This dimensional approach allows the system to represent the channel state more efficiently by combining multiple smaller index values, thereby reducing the total feedback overhead while capturing the essential channel characteristics needed for high channel capacity.
2Reliability
If traditional CSI feedback methods are used in massive MIMO, then channel state information is provided to the network device, but the uplink feedback resources are excessively consumed
Solution Approach 1:
The patent applies partial action by having the terminal feedback only the most essential channel state information through compact codebook indexes rather than complete channel matrices. This partial feedback approach maintains sufficient reliability for precoding operations while significantly improving uplink resource efficiency by avoiding excessive feedback transmissions.
Solution Approach 2:
The patent changes the parameter representation of CSI feedback from detailed channel measurements to compressed codebook indexes. By transforming the feedback parameters from raw channel state data to standardized codebook references, the system maintains reliability for network device processing while dramatically reducing uplink resource consumption.
3Measurement precision
If detailed precoding matrix information is fed back to enable accurate downlink transmission, then transmission accuracy is improved, but the feedback message size becomes excessively large
Solution Approach 1:
The patent uses codebook indexes as compact representations (copies) of the actual precoding matrices. Instead of feedback the complete precoding matrix data, the terminal provides indexes that reference predefined matrices in codebooks at both terminal and network device. This copying approach maintains precoding accuracy while dramatically reducing feedback message size.
Solution Approach 2:
The patent transforms the feedback parameters from detailed precoding matrix elements to concise codebook indexes. This parameter transformation maintains the essential information needed for accurate precoding while reducing the feedback message size from potentially hundreds of bits to just a few index values, resolving the contradiction between precision and message size.
Data Source
AI summary
Channel state information transmission and reception methods and apparatuses and a communication system. The channel state information transmission apparatus is applicable to a terminal equipment and includes: a receiver configured to receive first information transmitted by a network device, the first information including an allowable maximum value of a bitwidth of precoding matrix information, and/or information on a channel state information (CSI) generation model.