MIMO Precoding via Antenna Grouping and SVD
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Solution Overview
Problem
In MIMO systems, the complexity of the system increases with the number of antennas, leading to increased complexity, time, and power consumption due to the need for feedback information and increased process steps for beamforming and precoding, which complicates signal processing and reduces system efficiency.
Innovation Solution
A precoding method using a singular value decomposition (SVD) scheme combined with beamforming based on split-type antenna groups, which simplifies signal processing by reducing the number of subchannels and eliminating the need for feedback information, allowing for efficient spatial multiplexing precoding.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the number of antennas in MIMO system increases, then spatial multiplexing capability and throughput are improved, but system complexity and signal processing complexity increase
Solution Approach 1:
The patent divides the MIMO system into multiple beamforming antenna groups, where each group handles a subset of antennas. This segmentation reduces the dimensionality of precoding matrices from N antennas to M groups (where M < N), thereby reducing computational complexity while maintaining spatial multiplexing capability through parallel beamforming operations.
2Productivity
If beamforming antenna groups are introduced, then spatial multiplexing efficiency is improved, but feedback information amount and process steps increase
Solution Approach 1:
The patent combines SVD-based spatial multiplexing with beamforming by integrating the precoding operation into the beamforming process. Instead of separate feedback and processing steps for each, the system uses channel quality information to directly determine beamforming weights that achieve both spatial multiplexing and beamforming gains in a unified process.
3Reliability
If feedback information is required for optimized antenna group selection, then precoding performance is improved, but power consumption and processing overhead increase
Solution Approach 1:
The patent uses partial channel information (channel quality indicator) rather than complete channel state information for precoding. This partial information approach provides sufficient performance for spatial multiplexing while significantly reducing feedback overhead and associated power consumption compared to full channel matrix feedback.
Data Source
AI summary
The present invention relates to a pre-coding method for spatial multiplexing, comprising the steps of: performing a beam search for beam forming with a receiver device equipped with multiple antennas to perform pre-coding for spatial multiplexing in a transmitter device equipped with multiple antennas; transmitting a first packet including at least one or more training sequences to the receiver device after completion of said beam search; receiving, from the receiver device, a second packet including feedback information for pre-coding, determined in the receiver device by using the training sequences; and performing pre-coding for spatial multiplexing, onto the data stream to be transmitted to the receiver device, by using the pre-coding matrix calculated on the basis of the feedback information.