Deep reinforcement learning coordinated receiver beamforming for millimeter-wave train-ground...

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[HTML][HTML] Deep reinforcement learning-based coordinated beamforming for mmWave massive MIMO vehicular networks

P Tarafder, W Choi - Sensors, 2023 - mdpi.com
As a critical enabler for beyond fifth-generation (B5G) technology, millimeter wave
(mmWave) beamforming for mmWave has been studied for many years. Multi-input multi …
被引用次数：9 相关文章 所有 7 个版本
[PDF] ieee.org

Hybrid transceiver design and optimal power allocation for the cognitive mmWave multiuser MIMO downlink relying on limited feedback

J Singh, I Chatterjee, S Srivastava… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
A hybrid transceiver architecture is conceived for a cognitive radio (CR) aided millimeter
wave (mmWave) multiuser (MU) multiple-input multiple-output (MIMO) downlink system …
被引用次数：8 相关文章 所有 3 个版本
[PDF] arxiv.org

QoS-aware user association and transmission scheduling for millimeter-wave train-ground communications

X Zhang, Y Niu, T Yang, X Xiao, J Ding… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
With the development of wireless communication, people have put forward higher
requirements for train-ground communications in the high-speed railway (HSR) scenarios …
被引用次数：4 相关文章 所有 6 个版本

Attention-Aided Autoencoder-Based Channel Prediction for Intelligent Reflecting Surface-Assisted Millimeter-Wave Communications

HY Chen, MH Wu, TW Yang… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Sixth-generation (6G) wireless communication networks will provide larger coverage and
capacity with lower energy consumption and hardware costs than 5G. Intelligent reflecting …
被引用次数：5 相关文章

Adaptive non-uniform hybrid beamforming for Mmwave train-to-ground communications in high-speed railway scenarios

Y Liu, B Ai, Y Niu, Z Han, Z Zhong… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Higher frequency bands, especially millimeter wave (mmWave), are a key enabler for future
high-speed railway (HSR) wireless communication systems. Hybrid analog and digital …
被引用次数：3 相关文章 所有 2 个版本

Hierarchical deep reinforcement learning for self-powered monitoring and communication integrated system in high-speed railway networks

Z Ling, F Hu, T Liu, Z Jia, Z Han - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
To align with the vision of future intelligent high-speed railway (HSR) networks, integrating
sensor monitoring and remote communication are challenging for ensuring the lightweight of …
被引用次数：2 相关文章 所有 3 个版本

Energy Efficiency Optimization of Ultra-Reliable Low-Latency Communication for High-speed Rail

Y Qiao, Y Niu, S Chen, Z Zhong… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the rapid development of new communication technology, notably ultra reliable low
latency communication (URLLC) in the 5th generation cellular network, and the wide …
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[PDF] ieee.org

Joint Design of Adaptive Modulation and Precoding for Physical Layer Security in Visible Light Communications using Reinforcement Learning

DMT Hoang, TV Pham, AT Pham, CT Nguyen - IEEE Access, 2024 - ieeexplore.ieee.org
There has been an increasing interest in physical layer security (PLS), which, compared with
conventional cryptography, offers a unique approach to guaranteeing information …
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Multi-Agent Cooperation-Based Deep Reinforcement Learning for Multisensor Perception Communication System in HSR Tunnel Scenario

T Liu, F Hu, Z Ling, C Li… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The rapid development of High-Speed Railway (HSR) puts higher requirements on
comprehensive perception and reliable transmission in tunnel scenarios. To realize efficient …
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Wireless Perception of High-Speed Railway Communication: Challenges, Framework, and Future Directions

F Hu, Z Ling, T Liu, H Li, B Ai - IEEE Wireless Communications, 2024 - ieeexplore.ieee.org
The rapid development of 5G, 6G, and beyond is driving the European Union's" Shift2Rail
Plan," which aims to promote the adoption of next-generation communication technologies …
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