Journal on Communications ›› 2023, Vol. 44 ›› Issue (8): 78-88.doi: 10.11959/j.issn.1000-436x.2023158

• Papers • Previous Articles    

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)

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

CLC Number: 

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