Reinforcement learning for optimized beam training in multi-hop terahertz communications

A Ahmadi, O Semiari - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Communication at terahertz (THz) frequency bands is a promising solution for achieving
extremely high data rates in next-generation wireless networks. While the THz …

Efficient multi-beam training for terahertz wireless communications

S Yang, Z Zhang, Z Hu, N Song, H Liu - arXiv preprint arXiv:2112.15346, 2021 - arxiv.org
Although Terahertz communication systems can provide high data rates, it needs high
directional beamforming at transmitters and receivers to achieve such rates over a long …

3d beam training in terahertz communication: A quadruple-upa architecture

Z Tian, Z Chen, B Ning - 2021 IEEE International Conference …, 2021 - ieeexplore.ieee.org
In this paper, we propose a quadruple-UPA architecture for realizing the beamforming with
wide coverage in terahertz (THz) communication. Considering the severe path loss suffered …

Hybrid beamforming for RIS-empowered multi-hop terahertz communications: A DRL-based method

C Huang, Z Yang, GC Alexandropoulos… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Wireless communication in the TeraHertz band (0.1-10 THz) is envisioned as one of the key
enabling technologies for the future six generation (6G) wireless communication systems …

Analytical Beam Training for RIS-Assisted Wideband Terahertz Communication

Y Chen, J Tan, L Dai - GLOBECOM 2023-2023 IEEE Global …, 2023 - ieeexplore.ieee.org
Terahertz (THz) communication has been considered as one of the promising technologies
for future 6G wireless systems. In order to cope with the high path loss in THz systems …

Low complexity beam selection scheme for terahertz systems: A machine learning approach

X Ma, Z Chen, Z Li, W Chen… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
Terahertz (THz) communication has been envisioned as a promising candidate to support
ultra-broadband for future beyond fifth generation (5G). In the THz communication system …

Reinforcement learning for mitigating intermittent interference in terahertz communication networks

R Barazideh, O Semiari, S Niknam… - 2020 IEEE …, 2020 - ieeexplore.ieee.org
Emerging wireless services with extremely high data rate requirements, such as real-time
extended reality applications, mandate novel solutions to further increase the capacity of …

Multi-hop RIS-empowered terahertz communications: A DRL-based hybrid beamforming design

C Huang, Z Yang, GC Alexandropoulos… - IEEE Journal on …, 2021 - ieeexplore.ieee.org
Wireless communication in the TeraHertz band (0.1-10 THz) is envisioned as one of the key
enabling technologies for the future sixth generation (6G) wireless communication systems …

Federated deep reinforcement learning for THz-beam search with limited CSI

PC Hsu, LH Shen, CH Liu… - 2022 IEEE 96th Vehicular …, 2022 - ieeexplore.ieee.org
Terahertz (THz) communication with ultra-wide available spectrum is a promising technique
that can achieve the stringent requirement of high data rate in the next-generation wireless …

Accurate beam training for RIS-assisted wideband terahertz communication

Y Chen, J Tan, M Hao, R MacKenzie… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Terahertz (THz) communications have been widely considered as one of the promising
technologies for future 6G wireless systems. In order to cope with the high path loss in THz …