Multi-Hop MIMO Relay Interference Nulling
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Solution Overview
Problem
Current relay technologies in multi-user multi-hop MIMO networks face challenges in efficiently managing interference and diversity gain across multiple source-destination pairs, particularly in scenarios where multiple hops are involved and diverse antenna configurations are used.
Innovation Solution
The method involves obtaining channel matrices between source and relay nodes, and relay and destination nodes, generating an effective interference channel matrix, calculating null space vectors, and using these to determine beamforming vectors and matrices that minimize interference across relay nodes, allowing for efficient data transmission and reception.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple source-destination pairs transmit data simultaneously over multi-hop networks, then network utilization and throughput are improved, but interference between different node pairs increases
Solution Approach 1:
The patent converts interference from other node pairs into useful signal components by treating them as known interference that can be pre-compensated. Through interference channel matrix estimation and null space calculation, the system transforms harmful interference into manageable parameters that are incorporated into the beamforming design, allowing simultaneous transmission while maintaining signal quality.
Solution Approach 2:
The patent changes the parameter space by moving from traditional single-stream beamforming to multi-stream beamforming that operates in a higher-dimensional signal space. By calculating null space vectors and using them to construct beamforming matrices, the system transforms the interference problem into a dimensional expansion problem where interference is separated from desired signals in the transformed parameter space.
2Reliability
If relay nodes use multiple antennas for diversity gain, then reliability is improved, but device complexity and computational load increase
Solution Approach 1:
The patent segments the complex multi-antenna relay processing into distinct functional modules: channel matrix estimation, interference channel matrix construction, null space calculation, and beamforming matrix generation. This segmentation allows each module to be optimized independently and facilitates parallel computation, reducing overall computational complexity while maintaining diversity gain benefits.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating the interference channel matrix and its null space vectors before actual data transmission. By preparing beamforming matrices in advance based on channel state information, the system reduces real-time computational requirements at relay nodes, making multi-antenna processing more feasible while preserving reliability benefits.
3Productivity
If beamforming vectors are optimized for each source-destination pair, then data transmission efficiency is improved, but interference management becomes more difficult
Solution Approach 1:
The patent merges individual beamforming designs for multiple source-destination pairs into a unified multi-user beamforming framework. By constructing an overall beamforming matrix that incorporates null space vectors from all node pairs simultaneously, the system achieves coordinated interference management while maintaining high data transmission efficiency for each user pair through the combined beamforming solution.
Data Source
AI summary
Provided is a method and system for relaying data using a plurality of relay nodes. The method may include obtaining a first channel matrix related to a first-hop channel and a second channel matrix related to a second-hop channel, generating an effective interference channel matrix based on the first channel matrix and the second channel matrix, and calculating a null space vector of the effective interference channel matrix.