Precoding Method Antenna Power Utilization
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Solution Overview
Problem
In multi-antenna multi-user transmission systems, the maximum transmit power normalization processing using the power-limited eigenvector beamforming (PEBF) algorithm leads to reduced power utilization and power waste, as it reduces the transmit powers of all antennas except the one with the largest power, resulting in inefficient power distribution.
Innovation Solution
A precoding method that determines a generalized inverse matrix and adjusts the transmit powers of antennas to a preset maximum power by iteratively selecting antenna indices and update coefficients, ensuring orthogonality between users and maximizing power utilization through weight matrix calculations and adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If maximum transmit power normalization processing is performed using PEBF algorithm, then orthogonality between users is maintained, but power utilization of antennas is reduced and power waste occurs
Solution Approach 1:
The patent applies local quality by treating each antenna differently in the power allocation process. Instead of uniformly normalizing all antenna powers, the algorithm identifies specific antennas that can operate at maximum power and allocates power locally to those antennas while maintaining orthogonality constraints for other antennas. This selective power allocation resolves the contradiction by allowing full power utilization for certain antennas without compromising user orthogonality.
Solution Approach 2:
The patent employs dynamic power allocation where the power distribution across antennas is adjusted iteratively based on channel conditions and orthogonality requirements. The algorithm dynamically determines which antennas can operate at maximum power and adjusts the power of other antennas accordingly, rather than using static normalization. This dynamic approach enables better power utilization while maintaining the necessary orthogonality between users.
2Power
If transmit powers of multiple antennas are reduced for normalization, then power limits are respected, but power utilization efficiency decreases
Solution Approach 1:
The patent changes the power distribution parameters across antennas by solving an optimization problem that determines the optimal power allocation vector. Instead of using a fixed normalization factor, the algorithm calculates different power levels for different antennas based on channel conditions, user requirements, and power constraints. This parameter optimization enables maximum power utilization while respecting transmit power limits.
Solution Approach 2:
The patent implements a feedback mechanism where the power allocation is determined based on channel state information and orthogonality constraints. The algorithm uses feedback from the channel conditions to adjust power distribution, identifying which antennas can operate at maximum power and which need power reduction to maintain orthogonality. This feedback-driven approach optimizes power utilization efficiency while ensuring power limit compliance.
Data Source
AI summary
This application provides a precoding method and an apparatus for improving a power utilization of antennas. The method includes: determining a generalized inverse matrix Hm+ of a channel value matrix Hm of K users in an mth iteration in J iteration operations, where m=1, 2, . . . , and J, 1≤J≤M−K+1, and M is a quantity of antennas; selecting, from a set S1m-1 based on Hm+, an antenna index nm and an update coefficient αm corresponding to nm, where S1m-1 is a set of n unselected in antenna indexes n of the M antennas until an (m−1)th iteration ends; determining a weight matrix Wm based on Hm+ and αm; and assigning a row in Wm and corresponding to nm to a row in a final weight matrix Wopt and corresponding to nm, where Wopt is to adjust transmit powers of at least J of the M antennas to a preset maximum transmit power P after the J iteration operations end.