通信学报 ›› 2023, Vol. 44 ›› Issue (8): 78-88.doi: 10.11959/j.issn.1000-436x.2023158

• 学术论文 • 上一篇    

IRS多分区辅助太赫兹多子阵列波束成形设计

张祖凡1, 唐睿1,2   

  1. 1 重庆邮电大学通信与信息工程学院，重庆 400065
    2 重庆移通学院通信与信息工程学院，重庆 401520
  • 修回日期:2023-08-11 出版日期:2023-08-01 发布日期:2023-08-01
  • 作者简介:张祖凡（1972- ），男，湖北石首人，博士，重庆邮电大学教授、博士生导师，主要研究方向为无线通信、移动社交网络、机器学习等
    唐睿（1996- ），女，四川广安人，重庆移通学院讲师，主要研究方向为无线通信、智能反射表面
  • 基金资助:
    国家自然科学基金资助项目(62202077);重庆市教育委员会科学技术研究计划重大基金资助项目(KJZD-M201900601);重庆市教育委员会科学技术研究计划青年基金资助项目(KJQN0202200609)

Design of beamforming for IRS multi-partition-aided THz multi-subarray

Zufan ZHANG1, Rui TANG1,2   

  1. 1 School of Communications and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China
    2 School of Communications and Information Engineering, Chongqing College of Mobile Communication, Chongqing 401520, China
  • Revised:2023-08-11 Online:2023-08-01 Published:2023-08-01
  • Supported by:
    The National Natural Science Foundation of China(62202077);The Major Project of Science and Technology Research Program of Chongqing Education Commission of China(KJZD-M201900601);The Youth Project of Science and Technology Research Program of Chongqing Municipal Education Commission of China(KJQN0202200609)

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摘要：

在智能反射表面（IRS）辅助太赫兹（THz）通信系统中，为突破信道稀疏性对系统空间多路复用增益的限制，提出收发端采用宽间隔多子阵列混合波束成形架构，设计IRS多分区辅助THz多子阵列的传输方案。首先，基于频谱效率最大化原则，构建一个含有多变量耦合和非凸约束的非凸目标函数；然后，将优化问题解耦成2个易于求解的子问题，即IRS反射系数矩阵设计问题和收发端混合波束成形矩阵设计问题；最后，采用黎曼流形优化算法计算IRS反射系数矩阵，并通过数理推导得到混合波束成形矩阵的闭式解。仿真结果表明，与基准方案相比，所提方案可以获得更好的频谱效率。

关键词: 智能反射表面, 两级空间多路复用, 混合波束成形, 黎曼流形优化

Abstract:

In the IRS-aided THz communication system, in order to break the channel sparsity limitation on the system spatial multiplexing gain, a hybrid beam forming architecture with wide-spaced multi-subarrays at the transceiver/transmitter side was proposed and the transmission scheme of IRS multi-partition-aided THz multi-subarrays was designed.Firstly, a non-convex objective function with multivariate coupling and non-convex constraints was constructed based on the principle of maximizing spectrum efficiency.Then, the optimization problem was decoupled into two easy-to-solve sub-problems, namely, the reflection coefficient matrix design of IRS and the hybrid beamforming matrix design at the transceiver/receiver.Finally, the Riemannian manifold optimization algorithm was used to calculate the reflection coefficient matrix of IRS, and the closed solution of the hybrid beamforming matrix design at the transceiver/receiver was obtained through mathematical derivation.Simulation results show that compared with the baseline scheme, the proposed scheme can achieve better spectrum efficiency.

Key words: intelligent reflecting surface, two-level spatial multiplexing, hybrid beamforming, Riemannian manifold optimization

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