Beamformed MIMO Power Allocation via Local Quality
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Solution Overview
Problem
Conventional MIMO wireless communications systems assume uniform channel characteristics across signal paths, leading to suboptimal performance due to unequal channel conditions, as they allocate equal transmitting power to all paths without adapting to varying channel characteristics.
Innovation Solution
A method for computing beamforming weighting vectors and pre-coding parameters to create a beamformed MIMO channel with optimized transmitting power distribution, dynamically adjusting power allocation based on modulation and coding rates to maximize throughput and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If equal transmitting power is allocated to all signal paths in a beamformed MIMO channel, then the system implementation is simple, but the performance is suboptimal due to unequal channel characteristics
Solution Approach 1:
The patent applies local quality by allocating different transmitting powers to different signal paths based on their individual channel characteristics. Specifically, the system calculates a precoding matrix that includes power allocation factors for each signal path, allowing paths with better channel conditions to transmit with higher power while paths with poorer conditions use lower power, thereby optimizing overall system performance rather than using uniform power allocation
Solution Approach 2:
The patent changes the power allocation parameter from a fixed equal value to dynamic values determined by channel characteristics. The system computes power allocation factors based on channel state information and uses these factors to adjust the transmitting power for each signal path individually, transforming the power allocation from a static uniform parameter to a dynamic adaptive parameter
2Device complexity
If beamforming weighting vectors are computed using conventional methods assuming uniform channel characteristics, then the computation is straightforward, but the beamformed channels do not achieve optimal performance
Solution Approach 1:
The patent applies local quality in beamforming computation by calculating separate beamforming weighting vectors for each signal path based on their specific channel characteristics rather than assuming uniform characteristics. The system computes precoding matrices that incorporate path-specific optimizations, allowing each signal path to be tailored to its local channel conditions
Solution Approach 2:
The patent introduces dynamics into the beamforming computation by making the beamforming weighting vectors adaptive to changing channel conditions. The system continuously updates the precoding matrices based on current channel state information, allowing the beamforming parameters to dynamically adjust to varying channel characteristics rather than remaining static
Data Source
AI summary
A method and apparatus are provided for transmitting data streams in a wireless multiple-input-multiple-output (MIMO) communications system. The method comprises receiving a plurality of signals by a first mobile station, the plurality of signals being transmitted from antennas on a second mobile station, computing a plurality of beamforming weighting vectors from the received plurality of signals, calculating a pre-coding parameter matrix for a beamformed MIMO channel between the first and second mobile stations using the plurality of beamforming weighting vectors and the plurality of signals, determining a normalized transmitting power distribution for data streams transmitted via the beamformed MIMO channel, allocating transmitting power to the beamformed MIMO channel, wherein the data streams are transmitted via the beamformed MIMO channel having an optimized transmitting power distribution.