Low-Rank Matrix Sensing-Based Channel Estimation for mmWave and THz Hybrid MIMO Systems

Author:

Masood Khawaja Fahad1ORCID,Tong Jun2ORCID,Xi Jiangtao2ORCID,Yuan Jinhong3ORCID,Guo Qinghua2ORCID,Yu Yanguang2ORCID

Affiliation:

1. Department of Electrical and Computer Engineering, COMSATS University of Science and Technology, Islamabad, Abbottabad Campus, Pakistan

2. School of Electrical, Computer and Telecommunications Engineering, University of Wollongong, Wollongong, NSW, Australia

3. School of Electrical Engineering and Telecommunications, University of New South Wales, Sydney, NSW, Australia

Funder

Higher Education Commission, Pakistan

University of Wollongong, Australia

Australian Research Council

ARC

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. NOMA-Aided Distributed Massive MIMO—A Graph-Theoretic Approach;IEEE Transactions on Cognitive Communications and Networking;2024-08

2. Gridless Channel Estimation for Millimeter Wave MIMO-OFDM Systems with Beam Squint;ICC 2024 - IEEE International Conference on Communications;2024-06-09

3. Beamspace ESPRIT-D for Joint 3D Angle and Delay Estimation for Joint Localization and Communication at MmWave;ICC 2024 - IEEE International Conference on Communications;2024-06-09

4. Graph-Regularization-Based Low-Rank Matrix Completion for Multi-User mmWave 3D-MIMO Channel Estimation;2024 IEEE International Workshop on Radio Frequency and Antenna Technologies (iWRF&AT);2024-05-31

5. Guest Editorial Advanced Signal Processing for Terahertz Communications in 6G and Beyond Networks;IEEE Journal of Selected Topics in Signal Processing;2023-07

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