Transmitter Precoding Matrix Reuse for MIMO Interference Reduction
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Solution Overview
Problem
Conventional MIMO transmitters face inefficiencies in processing and power consumption due to the complexity of generating multiple matrices for precoding, which is necessary to reduce cross-channel interference in communication networks.
Innovation Solution
The transmitter reuses portions of precoding matrices across communication channels by generating a baseline channel matrix and performing QR-Givens decomposition to eliminate interference terms, allowing for the reuse of rotational matrices for adjacent channels, thereby reducing computational load and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional precoding generates multiple complex matrices for each communication channel, then cross-channel interference is effectively eliminated, but processing complexity and power consumption increase significantly
Solution Approach 1:
The patent merges the precoding matrix generation process across multiple communication channels by identifying and reusing common rotational matrices (Q1, Q2, Q3) that are identical for adjacent channels. Instead of generating separate complete precoding matrices for each channel, the system combines shared rotational components with channel-specific components, significantly reducing processing complexity while maintaining interference elimination effectiveness.
Solution Approach 2:
The patent makes rotational matrices universal across multiple communication channels. The same rotational matrices (Q1, Q2, Q3) generated for one channel are reused for adjacent channels, allowing a single set of rotational matrices to serve multiple functions across different channels. This universality reduces the overall computational burden while preserving the null-space property needed for interference elimination.
2Reliability
If conventional precoding generates multiple complex matrices for each communication channel, then cross-channel interference is effectively eliminated, but power consumption increases
Solution Approach 1:
The patent merges the precoding matrix generation process across multiple communication channels by identifying and reusing common rotational matrices (Q1, Q2, Q3) that are identical for adjacent channels. Instead of generating separate complete precoding matrices for each channel, the system combines shared rotational components with channel-specific components, significantly reducing processing complexity while maintaining interference elimination effectiveness.
Solution Approach 2:
The patent discards the redundant generation of identical rotational matrices for each channel and recovers computational resources by reusing the same rotational matrices (Q1, Q2, Q3) across adjacent channels. This approach eliminates unnecessary computations while preserving the essential null-space properties needed for interference elimination, thereby reducing power consumption.
3Measurement precision
If conventional precoding generates multiple complex matrices for each communication channel, then precise interference cancellation is achieved, but processing time increases
Solution Approach 1:
The patent performs preliminary generation of rotational matrices (Q1, Q2, Q3) that can be reused across multiple channels. By preparing these common rotational components in advance and identifying their reusability before full precoding matrix generation, the system reduces the overall processing time required for multi-channel precoding while maintaining the precision needed for interference cancellation.
Solution Approach 2:
The patent merges the precoding matrix generation process across multiple communication channels by identifying and reusing common rotational matrices (Q1, Q2, Q3) that are identical for adjacent channels. Instead of generating separate complete precoding matrices for each channel, the system combines shared rotational components with channel-specific components, significantly reducing processing complexity while maintaining interference elimination effectiveness.
Data Source
AI summary
A transmitter includes a plurality of user-specific channels, with each user specific channel associated with a different set of user equipment (UE) receive antennas. For precoding, the transmitter generates a baseline channel matrix reflecting the characteristics of the communication medium employed to transmit data to the different user equipment (UEs). For each user-specific channel, the transmitter generates a complementary channel matrix based on the baseline channel matrix, then performs matrix decomposition to eliminate selected terms of the complementary channel matrix that interfere from other communication channels of the transmitter. The transmitter can reuse portions of one rotational matrix set generated for one channel to generate the rotational matrix sets for one or more other channels.


