Analog Beamforming Fairness Using Weighted Covariance Matrices
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Solution Overview
Problem
Existing communication networks face challenges in providing user fairness without significantly reducing overall performance, particularly for users near the cell edge or with weak signal strength, where conventional techniques like Non-Orthogonal Multiple Access (NOMA) and digital beamforming may not adequately address resource distribution.
Innovation Solution
A beamforming-based user fairness arrangement that adjusts analog beamforming using a weighted sum of client device covariance matrices, employing phase shifters to optimize signal transmission to antennas, with weights determined based on client priority and network conditions to enhance resource allocation for weak users.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional techniques like NOMA or digital beamforming are used to improve user fairness for weak signal users, then resource availability for cell edge users is improved, but overall network performance is significantly reduced
Solution Approach 1:
The patent applies parameter changes by modifying the covariance matrix weighting parameters to control resource allocation. By adjusting the weighting factor alpha (α) in the weighted sum of covariance matrices Q_w = αQ_1 + (1-α)Q_2, the system can dynamically balance between user fairness for weak signal users and overall network performance, rather than using fixed conventional approaches
Solution Approach 2:
The system implements dynamic resource allocation by continuously adapting the beamforming weights based on real-time covariance matrix calculations from multiple users. The phase shifters are dynamically adjusted according to the weighted sum of covariance matrices, allowing the system to respond to changing channel conditions and user distributions, thereby maintaining both fairness and performance
2Reliability
If resource allocation is optimized for weak signal users, then data transfer rate for cell edge users is improved, but resource availability for strong signal users is reduced
Solution Approach 1:
The patent applies local quality by providing differentiated resource allocation to different spatial locations and user groups. The covariance matrix-based beamforming creates location-specific signal enhancement, where weak signal users in specific directions receive targeted resource allocation through adjusted phase shifters, while strong signal users in other directions maintain their resource availability
Solution Approach 2:
The system uses parameter changes in the weighting factor alpha to control the degree of resource allocation to weak users. By dynamically adjusting this parameter based on network conditions and user requirements, the system can shift resource distribution locally to benefit weak users without completely depriving strong users of their resources
Data Source
AI summary
A beamforming based user fairness arrangement is disclosed. In the arrangement analog beamforming is adjusted using a weighted sum of client device covariance matrices. The weighted sum of covariance matrices is used in designing an analog beamformer, which is then applied to at least one phase shifter. The phase shifters provide the phase shifted radion frequency signal to antennas that are used in transmitting the radio frequency signal to client devices.