Learn to Rapidly Optimize Hybrid Precoding
Author:
Affiliation:
1. Ben-Gurion University of the Negev,School of ECE
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9833808/9833812/09833923.pdf?arnumber=9833923
Reference27 articles.
1. Overview of Precoding Techniques for Massive MIMO
2. Alternating Minimization Algorithms for Hybrid Precoding in Millimeter Wave MIMO Systems
3. Power-efficient hybrid MIMO reciever with task-specific beamforming using low-resolution ADCs;zirtiloglu;Proc IEEE ICASSP,2022
4. Dynamic Metasurface Antennas for 6G Extreme Massive MIMO Communications
5. Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?
Cited by 3 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. Learn to Rapidly and Robustly Optimize Hybrid Precoding;IEEE Transactions on Communications;2023-10
2. Deep Unfolding-Enabled Hybrid Beamforming Design for mmWave Massive MIMO Systems;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
3. Joint Microstrip Selection and Beamforming Design for MmWave Systems with Dynamic Metasurface Antennas;ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2023-06-04
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