Robust Energy-Efficient Transmission for Cell-Free Massive MIMO Systems with Imperfect CSI

Wenhuan Gao,Yu Zhang,Lilan Liu, Renbin Fang, Jingyi Sun,Lei Zhu,Zhizhong Zhang

ELECTRONICS(2023)

引用 0|浏览7
暂无评分
摘要
In this paper, we investigate a long-term power minimization problem of cell-free massive multiple-input multiple-output (MIMO) systems. To address this issue and to ensure the system queue stability, we formulate a dynamic optimization problem aiming to minimize the average total power cost in a time-varying system under imperfect channel conditions. The problem is then converted into a real-time weighted sum rate maximization problem for each time slot using the Lyapunov optimization technique. We employ approximation techniques to design robust sparse beamforming, which enables energy savings of the network and mitigates channel uncertainty. By applying direct fractional programming (DFP) and alternating optimization, we can obtain a locally optimal solution. Our DFP-based algorithm minimizes the average total power consumption of the network while satisfying the quality of service requirements for each user. Simulation results demonstrate the rapid convergence of the proposed algorithm and illustrate the tradeoff between average network power consumption and queue latency.
更多
查看译文
关键词
massive mimo systems,energy-efficient,cell-free
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要