Research Article
Hybrid Beamforming Design for Multi-user mmWave Sum Rate Maximization
@INPROCEEDINGS{10.1007/978-3-031-47359-3_8, author={Chunyang Wang and Guannan Tan and Yong Fang and Hao Wei and Zhichao Sheng and Hongwen Yu}, title={Hybrid Beamforming Design for Multi-user mmWave Sum Rate Maximization}, proceedings={Industrial Networks and Intelligent Systems. 9th EAI International Conference, INISCOM 2023, Ho Chi Minh City, Vietnam, August 2-3, 2023, Proceedings}, proceedings_a={INISCOM}, year={2023}, month={10}, keywords={Millimeter wave downlink system Sum rate maximization Non-convex optimization algorithm}, doi={10.1007/978-3-031-47359-3_8} }- Chunyang Wang
Guannan Tan
Yong Fang
Hao Wei
Zhichao Sheng
Hongwen Yu
Year: 2023
Hybrid Beamforming Design for Multi-user mmWave Sum Rate Maximization
INISCOM
Springer
DOI: 10.1007/978-3-031-47359-3_8
Abstract
This paper considers a multi-user multiple-input-single-output (MU-MISO) mmWave downlink communication system. The hybrid beamforming (HBF) is applied at the base station (BS). A joint analog beamforming (ABF) and digital beamforming (DBF) optimization problem is formulated to maximize the sum rate (SR) of the users, the problem is generally non-convex due to the log-determinant as well as unit modulus constraints (UMC) for ABF. Two efficient alternating descent iteration algorithms are developed to solve the intractable problem. Finally, simulation results are included to verify the efficiency of the proposed approaches, results also show that the proposed algorithms can accommodate discrete phase shifts for ABF.
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