Deep Reinforcement Learning Based Dynamic Beam Selection in Dual-Band Communication Systems

Author:

Zhang Zhen1ORCID,Zhang Jianhua1ORCID,Zhang Yuxiang1ORCID,Yu Li1ORCID,Gao Feifei2ORCID,Shi Qingjiang3ORCID,Liu Guangyi4ORCID,Yuan Zhiqiang1ORCID,Fan Wei5ORCID

Affiliation:

1. State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications, Beijing, China

2. Institute for Artificial Intelligence Tsinghua University (THUAI), State Key Laboratory of Intelligent Technologies and Systems, Tsinghua University, Beijing, China

3. School of Software Engineering, Tongji University, Shanghai, China

4. China Mobile Research Institute, Beijing, China

5. School of Information Science and Engineering, National Mobile Communications Research Laboratory, Southeast University, Nanjing, China

Funder

National Science Fund for Distinguished Young Scholars

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications

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. Efficient Ray-Tracing Simulation for Near-Field Spatial Non-Stationary mmWave Massive MIMO Channel and Its Experimental Validation;IEEE Transactions on Wireless Communications;2024-08

2. Eavesdropper Avoidance through Adaptive Beam Management in SDR-Based MmWave Communications;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

3. An Empirical Study on Channel Reciprocity in TDD and FDD Systems;IEEE Open Journal of Vehicular Technology;2024

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