MIMO Precoding Matrix Calculation Using Effective Channel and EVM
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for determining precoding matrices in uplink multiple-input and multiple-output (MIMO) wireless communication systems only consider channel information, neglecting transmitter characteristics, which results in insufficient channel capacity and spectral efficiency.
Innovation Solution
A method and device that calculate an effective channel matrix based on both transmission characteristic information and channel information, determining a precoding matrix and a transmission beamforming vector to optimize MIMO transmission by incorporating error vector magnitude (EVM) information and using the water-filling algorithm to allocate power across transmission paths.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If only channel information is used to determine precoding matrix, then the method is simple, but channel capacity and spectral efficiency are insufficient
Solution Approach 1:
The patent changes the parameters used for precoding matrix determination from only channel information to include both channel information and transmitter characteristics (EVM). This parameter expansion allows the system to achieve higher channel capacity and spectral efficiency by considering multiple factors simultaneously, resolving the contradiction between productivity improvement and complexity increase.
2Productivity
If transmitter characteristics are incorporated into precoding matrix determination, then spectral efficiency improves, but calculation complexity increases
Solution Approach 1:
The patent merges channel information and transmitter characteristics into a unified effective channel matrix calculation. By combining these two types of information through matrix operations (multiplying channel matrix by transmitter characteristic matrix), the system achieves improved spectral efficiency while managing complexity through a systematic integration approach rather than separate processing.
3Productivity
If water-filling algorithm is used for power allocation, then transmission efficiency improves, but computational requirements increase
Solution Approach 1:
The patent applies the water-filling algorithm as a preliminary action to allocate power across transmission paths before actual data transmission occurs. By pre-calculating the optimal power distribution based on the effective channel matrix and transmitter characteristics, the system maximizes transmission efficiency while the computational burden is performed in advance, allowing for efficient real-time operation.
Data Source
AI summary
An operating method of a wireless communication device includes calculating an effective channel matrix between the wireless communication device and a base station based on transmission characteristic information and channel information, the transmission characteristic information corresponding to the wireless communication device, and the channel information corresponding to a channel between the wireless communication device and the base station, determining a precoding matrix based on the effective channel matrix, and determining a transmission beamforming vector based on the precoding matrix.