Transmitter Precoding Complexity Reduction via QR-Givens Decomposition
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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 data communication.
Innovation Solution
The transmitter employs partial precoding matrices and QR-Givens decomposition to eliminate unnecessary terms, generating only the required subset of rotational matrices for each channel, reducing computational demands and conserving power.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If conventional precoding generates multiple complex matrices to create null space for data adjustment, then cross-channel interference is reduced, but processing efficiency deteriorates and power consumption increases
Solution Approach 1:
The patent extracts only the necessary portion of the precoding matrix (the null space component) while discarding redundant parts. By using partial precoding matrices instead of complete matrices, the system achieves interference reduction without the full computational burden, directly resolving the contradiction between interference mitigation and processing efficiency
Solution Approach 2:
The patent applies partial action by generating only the essential precoding matrix components needed for null space calculation rather than computing complete matrices. This partial computation approach sufficient for interference reduction while significantly lowering processing requirements, thereby improving productivity
2Object-affected harmful factors
If conventional precoding generates multiple complex matrices for data adjustment, then cross-channel interference is reduced, but power consumption increases
Solution Approach 1:
The patent extracts and computes only the necessary null space components of the precoding matrix, eliminating redundant calculations. This selective computation approach maintains interference reduction effectiveness while significantly lowering energy consumption, resolving the contradiction between harmful factor mitigation and energy usage
Solution Approach 2:
By applying partial action through incomplete matrix generation, the system achieves sufficient precoding functionality for interference reduction without the excessive computational energy consumption associated with complete matrix operations, thereby reducing power consumption while maintaining effectiveness
3Reliability
If the transmitter generates complete precoding matrices for all channels, then communication reliability is maintained, but processing complexity increases
Solution Approach 1:
The patent segments the precoding matrix generation process by handling each channel's null space computation independently and selectively. This segmentation allows the system to maintain reliability through proper precoding where needed while reducing overall processing complexity by avoiding unnecessary complete matrix computations across all channels
Solution Approach 2:
The patent extracts only the essential null space components from complete precoding matrices, discarding redundant information. This extraction approach preserves communication reliability through effective interference reduction while significantly lowering processing complexity by working with smaller, more efficient matrix representations
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 (e.g., QR-Givens decomposition) to eliminate selected terms of the complementary channel matrix that interfere from other communication channels of the transmitter.