Rethinking WMMSE: Can Its Complexity Scale Linearly With the Number of BS Antennas?

Author:

Zhao Xiaotong1ORCID,Lu Siyuan1,Shi Qingjiang1ORCID,Luo Zhi-Quan2ORCID

Affiliation:

1. School of Software Engineering, Tongji University, Shanghai, China

2. Chinese University of Hong Kong, Shenzhen, China

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Guangdong Provincial Key Laboratory of Big Data Computing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Hybrid Precoding Design in Multi-User mmWave Massive MIMO Systems for BER Minimization;IEEE Wireless Communications Letters;2024-01

2. Active and passive beamforming based on RWMMSE and Gradient Projection for IRS-aided MU-MISO Systems;2023 14th International Conference on Information and Communication Technology Convergence (ICTC);2023-10-11

3. Spatial Beamforming Design for ISAC Systems Under Per Antenna Power Constraint;2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC);2023-09-25

4. Efficient Precoding and Power Allocation Techniques for Maximizing Spectral Efficiency in Beamspace MIMO-NOMA Systems;Sensors;2023-09-20

5. Communication-Efficient Decentralized Linear Precoding for Massive MU-MIMO Systems;IEEE Transactions on Signal Processing;2023

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