Vector Perturbation Precoding for NR MU-MIMO Gain
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Solution Overview
Problem
Current New Radio (NR) systems do not support signal precoding based on Vector Perturbation (VP) technology, which limits the preceding gain in multi-user multiple-input multiple-output (MU-MIMO) scenarios, despite VP offering better downlink transmission performance.
Innovation Solution
A signal processing method and device implementation that receives and processes precoding indication information to apply perturbation coefficients and vectors to data signals, determining a target perturbation vector based on channel information to precode data signals, thereby enabling VP in NR systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If linear precoding technology is adopted, then device complexity is low, but precoding gain is limited
Solution Approach 1:
The patent transforms the precoding approach by changing from linear precoding to vector perturbation (VP) precoding, fundamentally altering the mathematical parameters and operations involved. This parameter change enables non-linear signal processing that achieves better precoding gain while managing complexity through specific implementation details
2Reliability
If vector perturbation precoding technology is adopted, then downlink transmission performance is improved, but system complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-calculating and pre-selecting perturbation vectors based on channel state information before actual data transmission. The network device determines optimal perturbation vectors in advance, which are then used for precoding, reducing real-time computational complexity while maintaining performance benefits
Solution Approach 2:
The patent implements partial action by selectively applying perturbation vectors only to specific data streams or layers where they provide the most benefit, rather than applying them uniformly across all streams. This partial application reduces overall system complexity while preserving the performance improvements in critical transmission paths
3Reliability
If full search method is used to find optimal perturbation vectors, then precoding gain is maximized, but computational complexity is high
Solution Approach 1:
The patent applies segmentation by dividing the search space for optimal perturbation vectors into multiple segments or regions based on channel characteristics. Instead of performing a complete exhaustive search, the algorithm searches within segmented regions, significantly reducing computational complexity while still finding near-optimal solutions that maintain precoding gain
Solution Approach 2:
The patent implements local quality by adapting the search strategy to local channel conditions. The search for optimal perturbation vectors is performed with different levels of thoroughness depending on the specific channel state, focusing computational resources on regions where they will yield the most benefit while reducing search effort in less critical areas
Data Source
AI summary
A signal processing method includes: receiving by a terminal device, first precoding indication information, where the first precoding indication information is used for indicating related information for precoding a data signal; and processing, by the terminal device, a received data signal based on the first precoding indication information. And another signal processing method, a terminal device, a network device and a storage medium are provided.