Environment Semantics Aided Wireless Communications: A Case Study of mmWave Beam Prediction and Blockage Prediction

Author:

Yang Yuwen1ORCID,Gao Feifei1ORCID,Tao Xiaoming2ORCID,Liu Guangyi3ORCID,Pan Chengkang3ORCID

Affiliation:

1. Institute for Artificial Intelligence Tsinghua University (THUAI), State Key Laboratory of Intelligent Technologies and Systems, Beijing National Research Center for Information Science and Technology (BNRist), Department of Automation, Tsinghua University, Beijing, China

2. Department of Electronic Engineering, Tsinghua University, Beijing, China

3. China Mobile Communication Research Institute, Beijing, China

Funder

National Natural Science Foundation of China

Beijing Natural Science Foundation

Guoqiang Institute, Tsinghua University

Tsinghua University-China Mobile Communications Group Company Ltd., Joint Institute

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications

Cited by 9 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. Enhancing Reliability in Federated mmWave Networks: A Practical and Scalable Solution Using Radar-Aided Dynamic Blockage Recognition;IEEE Transactions on Mobile Computing;2024-10

2. Deep Quantum-Transformer Networks for Multimodal Beam Prediction in ISAC Systems;IEEE Internet of Things Journal;2024-09-15

3. On the Generalization of Machine Learning for mmWave Beam Prediction;2024 19th International Symposium on Wireless Communication Systems (ISWCS);2024-07-14

4. Performance Optimization for Multicast Mm Wave MIMO Networks with Mobile Users;2024 IEEE International Conference on Communications Workshops (ICC Workshops);2024-06-09

5. Statistical Tools and Methodologies for Ultrareliable Low-Latency Communication—A Tutorial;Proceedings of the IEEE;2023-11

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