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[2202.09524] DRL|based Joint Beamforming and BS|RIS|UE ...


[2202.09524] DRL-based Joint Beamforming and BS-RIS-UE ... - arXiv

We propose a soft actor-critic (SAC) deep reinforcement learning (DRL)-based joint beamforming and BS-RIS-UE association design algorithm.

DRL-based Joint Beamforming and BS-RIS-UE Association Design ...

a dynamic control scheme based on multi-agent DRL was proposed to design UE powers, RIS beamformer, and BS. arXiv:2202.09524v1 [cs.IT] 19 Feb ...

DRL-based Joint Beamforming and BS-RIS-UE Association Design ...

DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks. February 2022. DOI:10.48550/arXiv.2202.09524.

DRL-based Joint Beamforming and BS-RIS-U...

ID: 2202.09524. Search. DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks. February 18, 2022. View on ArXiv. Yuqian ...

DRL-based Joint Beamforming and BS-RIS-UE Association ... - dblp

DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks. CoRR abs/2202.09524 (2022). manage site settings. To protect ...

DRL-based Joint Beamforming and BS-RIS-UE Association Design ...

PDF | Reconfigurable intelligent surface (RIS) is considered as an extraordinarily promising technology to solve the blockage problem of ...

DRL-based Joint Beamforming and BS-RIS-UE Association Design ...

DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks. Yuqian Zhu 1. ,. Ming Li 1. ,. Yang Liu 1. ,.

Coverage Performance Analysis of Reconfigurable Intelligent ...

Hu, “DRL-based Joint Beamforming and BS-RIS-UE Association Design for RIS-Assisted mmWave Networks,” [Online] https://arxiv.org/abs/2202.09524. [7] C. Huang ...

Yuqian Zhu - dblp

Deep Reinforcement Learning based Joint Active and Passive Beamforming Design for RIS-Assisted MISO Systems. WCNC 2022: 477-482. [i2]. view. electronic edition ...

Deep Reinforcement Learning based Joint Active and Passive ...

NASA/ADS · Deep Reinforcement Learning based Joint Active and Passive Beamforming Design for RIS-Assisted MISO Systems.

Joint BS and Beyond Diagonal RIS Beamforming Design with DRL ...

We use deep reinforcement learning (DRL) to solve the joint design problem of the RIS phase shift matrix and BS beamforming to maximize the SE. In addition to ...