(Wei et al., 2022a)中的研究侧重于宽带正交频分复用 (OFDM) 发射信令方案的频率相关波束成形和移相器的联合设计,旨在使用交替最大化方法最大限度地提高所有用户的平均雷达输出 SINR 和最小通信输出 SINR。非凸问题包括一个具有凸约束差异的最大值目标函数,该函数通过交替方向乘子法(ADMM)和Dinkelbach方法求解。结...
RIS-ADMM: An ADMM-Based Passive and Sparse Sensing Method with Interference Removal 代码: github.com/chenpengseu/ 2021 Journal * Wei X, Shen D, Dai L. Channel estimation for RIS assisted wireless communications—Part I: Fundamentals, solutions, and future opportunities[J]. IEEE communications let...
and computational complexity in traditional channel estimation methods for millimeter-wave communication systems aided by reconfigurable intelligent surfaces (RIS), a novel channel estimation algorithm based on the alternating direction method of multipliers (ADMM) for multi-user joint scenario...
结合对偶坐标下降法(DCA)和交替方向乘子法(ADMM)提出了一种改进的随机变量的交替方向乘子法重建优化方法.在原始ADMM方法的基础上,增加了一个随机更新规则,在每次... 侯榆青,金明阳,贺小伟,... - 《光学学报》 被引量: 8发表: 2017年 变量分离算法及多元响应变量回归问题的研究 且应用了区块坐标下降的算法来求...
其中, 恒模发射波形采用二阶黎曼牛顿(Riemannian Newton method, RNM)流形优化方法求解; RIS反射系数采用一致交替方向乘子法(alternating direction method of multipliers, ADMM)结合RNM求解; 接收滤波器采用最小方差无畸变响应求解; 缩放因子优化为无约束凸问题, 有其闭式解. (3)大量仿真实验验证了所提算法在杂波...
(Deep Distributed ADMM,D2-ADMM)网络框架.并为所有基站的联合波束赋形设计提出了一种高效的信息交换策略.D2-ADMM结合了已知的领域知识和深度学习的推理能力,通过端到端的学习来获得高性能的波束赋形求解器和超参数.仿真实验表明,所提的D2-ADMM算法仅需要极少的迭代就能收敛到逼近于集中式算法的性能,并且性能相比...
Simulation results verify that our proposed ADMM-based method is able to achieve better performance than the conventional semi-definite relaxation (SDR)-based method with lower computational complexity. Our proposed RIS-assisted URLLC system is able to significantly reduce the transmission latency, ...
In direct CE, the decoupled atomic norm minimization (DANM) algorithm is exploited to estimate the channel angle parameters as well as the alternating direction method of multipliers (ADMM) algorithm is utilized to decline the algorithm complexity to satisfy the requirement of real-time signal ...
非凸问题包括一个具有凸约束差异的最大值目标函数，该函数通过交替方向乘子法（ADMM）和Dinkelbach方法求解...
非凸问题包括一个具有凸约束差异的最大值目标函数，该函数通过交替方向乘子法（ADMM）和Dinkelbach方法求解...