太赫兹M-MIMO系统混合预编码设计  

Hybrid Precoding Design for Terahertz Massive MIMO Systems

作　　者：李倩倩 李佳慧 闵洁 郝诗雅 李华 戴晓明 LI Qianqian;LI Jiahui;MIN Jie;HAO Shiya;LI Hua;DAI Xiaoming(School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing 100083,China)

机构地区：[1]北京科技大学计算机与通信工程学院,北京100083

出　　处：《移动通信》2024年第12期58-63,共6页Mobile Communications

基　　金：国家自然科学基金面上项目“大规模MIMO系统分布式基带信号检测理论与技术研究”(62371037);广东省基础与应用基础研究基金“有源RIS辅助NOMA网络物理层安全通信研究”(2024A1515011186);中国博士后科学基金资助项目“高速移动场景去蜂窝M-MIMO系统信号处理关键技术研究”(2023M740223);国家资助博士后研究人员计划“6G空天地一体化通信网络多维资源受限下新型多址接入与波形技术研究”(GZC20230241)。

摘　　要：为应对现有太赫兹M-MIMO系统高路径损耗和短传输距离等挑战,提出了一种改进MO混合预编码方案,通过构造最优相位的邻近相位有效提高梯度下降算法收敛速度,并提升太赫兹M-MIMO系统性能。所提算法避免了MO算法中复杂的克罗内克积计算,与MO算法相比复杂度显著降低。仿真结果表明,与其他几种混合预编码算法相比,所提改进MO算法的可达速率更优,接近最优全数字奇异值分解预编码算法性能。To address the challenges of high path loss and short transmission range of the existing terahertz(THz)massive multipleinput multiple-output(M-MIMO)systems,this paper proposes an improved manifold optimization(MO)hybrid precoding scheme.Through constructing the adjacent phase of the optimal phase,the convergence speed of the gradient descent algorithm is effectively improved,and the performance of THz M-MIMO systems is improved.The proposed algorithm avoids the complex Kronecker product calculations in the MO algorithms,resulting in a significant reduction in computational complexity compared to conventional MO methods.Simulation results demonstrate that the proposed improved MO algorithm achieves a better achievable rate than several hybrid precoding algorithms,closely approaching the performance of the optimal fully-digital singular value decomposition precoding algorithm.

关 键 词：太赫兹 M-MIMO 改进MO混合预编码 

分 类 号：TN928[电子电信—通信与信息系统]