分布式IRS辅助毫米波MU-MISO系统联合波束成形设计

doi:10.11959/j.issn.1000-436x.2022058

Abstract

Abstract:

A joint beamforming design scheme for distributed intelligent reflecting surface (IRS) assisted multi-user communication was proposed to solve the reliable communication problem in the downlink of millimeter-wave multi user-multiple input single output (MU-MISO) system in non line of sight scenarios.Considering the power and constant-mode constraints, the active beamforming of the base station and passive beamforming of multiple IRS were modeled as a joint non-convex optimization problem with the objective of user weighting and sum rate maximization.A closed-form fractional programming technique was used to decouple this joint optimization problem into an easily solvable equivalent problem.A non-convex block coordinate descent algorithm was used to alternately optimize the active beamforming and passive beamforming matrices according to the prox-linear rule and the distributed successive convex approximation rule.The convergence proof and complexity analysis of the proposed algorithm were also given.The simulation results demonstrate that the algorithm can converge fast, and can effectively improve the system transmission rate with reduced complexity compared with the two baseline algorithms.

Key words: intelligent reflecting surface, millimeter wave communication, beamforming, alternating optimization

CLC Number:

TN929.5

Zhongjie LI, Jiyuan XIONG, Wei GAO, Jinying WEI. Joint beamforming design for distributed IRS assisted millimeter wave MU-MISO system[J]. Journal on Communications, 2022, 43(4): 216-226.

Figures/Tables 9

References 30

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