Proposed Algorithm : set n = 0 set Bkn = Bkini∀k iterate update n = n + 1 I. compute Akn∣Bin−1∀i for all k with MMSE filters II. computeWkn∣Bin−1∀i for all k III. computeBn∣An, Wn. until convergence 其中,步骤III为求解WMMSE最小化问题,其显式解为, Tr(W AAH...
6G-AI GitHub - FenghaoZhu/R-WMMSE: This is the code implementation for the R-WMMSE algorithm. 这个是代码实现 2024-09-20· 浙江 回复喜欢 徐州丰县人 对于输出为实数的复函数求其变量共轭转置得到驻点,所以(19)有些错误。 2023-12-31· 北京 回复喜欢关于...
The weighted minimum mean-square error (WMMSE) algorithm is a popular approach for WSR maximization. However, its computational complexity is cubic in the number of base station (BS) antennas, which is unaffordable when the BS is equipped with a large antenna array. In this paper, we consider...
This library contains the code for the research paperCoordinated Multicell MU-MIMO Beamforming Using Deep WMMSE Algorithm Unrolling. Requirements Python 3.9 PyTorch 1.10.0 (newer version might lead to errors) tensorboard 2.7.0 numpy 1.21.4
A modified WMMSE algorithm that incorporates such factors is proposed. We evaluate the performance of the proposed WMMSE algorithm using a time division duplexing (TDD) LTE simulation platform, and show that our practice-oriented design can improve the system throughput by 3 ~ 30% in comparison ...
solution, we\npropose a scheme based on the minimization of the weighted mean square error,\nwhich achieves performance reasonably close to the optimum and allows to\nclearly outperforms a conventional orthogonal multiple access approach.\nNumerical results assess the effectiveness of our algorithm.Fab...
Based on alternation direction method of multipliers(ADMM), the proposed algorithm can solve the optimal precoder in a distributed manner. With asynchronous information exchange mechanism considered, the convergence rate of our algorithm can be accelerated further. Numerical results demonstrate the increase...