Precoder Matrix Feedback for Multi-Antenna Systems
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Solution Overview
Problem
Current mobile communication systems face challenges in effectively executing downlink multi-antenna transmission due to limitations in the feedback method of precoder matrix information, leading to inefficient interference suppression and reduced throughput.
Innovation Solution
A mobile communication system and method that enhance downlink multi-antenna transmission by allowing user terminals to feed back multiple combinations of precoder matrix information and rank information to base stations, enabling the selection of optimal transmission parameters and reducing interference through targeted beamforming.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If a user terminal feeds back only one precoder matrix information for a target frequency band, then the feedback information amount is reduced, but the downlink multi-antenna transmission cannot be executed appropriately
Solution Approach 1:
The feedback information is segmented into multiple combinations of precoder matrix information and rank information. Instead of feeding back a single precoder matrix, the terminal provides multiple candidates (e.g., first combination with precoder matrix W1 and rank 1, second combination with precoder matrix W2 and rank 2), allowing the base station to select the most appropriate combination based on current channel conditions and interference levels.
Solution Approach 2:
The feedback mechanism becomes dynamic by providing multiple precoder matrix combinations that can adapt to changing channel conditions. The base station can dynamically select from these combinations based on real-time interference suppression requirements and throughput optimization needs, rather than being constrained to a single static precoder matrix.
2Reliability
If a user terminal feeds back multiple combinations of precoder matrix information and rank information, then the downlink multi-antenna transmission can be executed appropriately, but the feedback information amount increases
Solution Approach 1:
Instead of feeding back all possible precoder matrix combinations, the terminal provides a limited set of multiple combinations (partial action). This is excessive compared to feedback of only one precoder matrix, but controlled to avoid overwhelming feedback overhead. The base station receives enough information to make informed decisions without being burdened by complete exhaustive feedback.
Solution Approach 2:
The system changes the parameter of feedback information from a single precoder matrix to multiple combinations of precoder matrices and ranks. This parameter change enables more flexible and accurate downlink multi-antenna transmission while the number of combinations is controlled to manage feedback overhead appropriately.
3Device complexity
If the base station uses a single precoder matrix for downlink transmission, then the system complexity is reduced, but the interference suppression accuracy is insufficient
Solution Approach 1:
The user terminal performs preliminary analysis and prepares multiple precoder matrix combinations in advance based on channel state information. This preliminary action allows the base station to receive pre-processed feedback that includes multiple candidates, reducing the base station's computational burden while still enabling accurate interference suppression through selective use of the most appropriate precoder matrix.
Data Source
AI summary
A mobile communication system performs downlink multi-antenna transmission by applying a precoder matrix that defines transmission directionality of downlink and a rank that defines number of signal sequences of the downlink. The mobile communication system comprises a user terminal that feeds back feedback information of a target frequency band, to a base station. The feedback information includes combinations of precoder matrix information indicating the precoder matrix and rank information indicating the rank.