Semidefinite Relaxation-Based PAPR-Aware Precoding for Massive MIMO-OFDM Systems

Author:

Yao MiaoORCID,Carrick MattORCID,Sohul Munawwar M.ORCID,Marojevic VukORCID,Patterson Cameron D.,Reed Jeffrey H.ORCID

Funder

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Cited by 24 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. Asymmetric Decomposition of Single Carrier QAM for Efficiency Enhancement of PAs;IEEE Transactions on Microwave Theory and Techniques;2024-08

2. Adaptive Filter Clipper-Based PAPR Reduction Techniques for Massive MIMO-OFDM;2024 IEEE Wireless Antenna and Microwave Symposium (WAMS);2024-02-29

3. Low PAPR Waveform Design with EVM and OOBE Constraints in OFDM Systems;2023 IEEE 98th Vehicular Technology Conference (VTC2023-Fall);2023-10-10

4. Alternating Projections Method for Joint Precoding and Peak-to-Average-Power Ratio Reduction;2023 IEEE Wireless Communications and Networking Conference (WCNC);2023-03

5. Telecommunication Traffic Forecasting via Multi-task Learning;Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining;2023-02-27

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