.png){kind=icon}
返回
Joint Distributed Precoding and Beamforming for RIS-Aided Cell-Free Massive MIMO Systems
.png){kind=icon}
OA
AI
DOI：10.1109/TVT.2023.3334229.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The amalgamation of cell-free networks and reconfigurable intelligent surface (RIS) has become a prospective technique for future sixth-generation wireless communication systems. In this paper, we focus on the precoding and beamforming design for a downlink RIS-aided cell-free network. The design is formulated as a non-convex optimization problem by jointly optimizing the combining vector, active precoding, and passive RIS beamforming for minimizing the weighted sum of users' mean square error. A novel joint distributed precoding and beamforming framework is proposed to decentralize the alternating optimization method for acquiring a suboptimal solution to the design problem. Finally, numerical results validate the effectiveness of the proposed distributed precoding and beamforming framework, showing its low-complexity and improved scalability compared with the centralized method.
Keyword:
Distributed precoding
reconfigurable intelligent surface (RIS)
passive beamforming
期刊
IF:
7.1
论文数:
1.8W
被引数:
6.6W
机构
引用论文
.png){kind=icon}
Distributed Beamforming Techniques for Weighted Sum-Rate Maximization in MISO Interfering Broadcast ChannelsMISO干扰广播信道中用于加权和速率最大化的分布式波束成形技术
PREAI
分享收藏分享收藏Making Cell-Free Massive MIMO Competitive With MMSE Processing and Centralized Implementation使无单元大规模MIMO与MMSE处理和集中式实现具有竞争力
OAAI
OAAI分享收藏分享收藏分享收藏Recent advances in the development of GTR/GBR membranes for periodontal regeneration—A materials perspectiveGTR/GBR牙周再生膜的研究进展 -- 从材料的角度
PREAI
分享收藏
查看更多内容