Proactive handover can avoid frequent handovers and reduce handover delay, which plays an important role in maintaining the quality of service (QoS) for mobile users in millimeter-wave vehicular networks. To reduce the communication cost of training the learning model for proactive handover, we propose a federated learning (FL) framework. The proposed FL framework can accommodate the limited storage capacity of each user, increase the number of users who participate in the FL, and adapt to the dynamic mobility pattern. Simulation results validate the effectiveness of the proposed FL framework. Compared to reactive handover schemes, the proposed handover scheme can reduce unnecessary handovers and improve the QoS of users simultaneously.
AI-Driven Mobility Management for High-Speed Railway Communications: Compressed Measurements and Proactive Handover
State Key Laboratory of Advanced Rail Autonomous Operation, Beijing Jiaotong University, China(先进轨道交通自主运行国家重点实验室,北京交通大学,中国);School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, China(电子与信息工程学院,北京交通大学,北京,中国);Mediatek (Beijing) Inc, Beijing, China(联发科技(北京)有限公司,北京,中国);Centre for Wireless Innovation (CWI), Queen’s University Belfast, UK(无线创新中心(CWI),女王大学贝尔法斯特校区,英国)
Autonomous Self-Trained Channel State Prediction Method for mmWave Vehicular Communications
Faculty of Technical Sciences, University of Novi Sad(诺维萨德大学技术科学学院);The Institute for Artificial Intelligence Research and Development of Serbia(塞尔维亚人工智能研究与发展研究所);African Center of Excellence in IoT, University of Rwanda(卢旺达大学非洲物联网卓越中心)
xApp Empowered Resource Management for Non-Terrestrial Users in 5G O-RAN Networks
School of Electronic and Electrical Engineering, University of Leeds(利兹大学电子与电气工程学院);College of Electronics Engineering, Ninevah University(尼尼微大学电子工程学院)
Large AI Model for Delay-Doppler Domain Channel Prediction in 6G OTFS-Based Vehicular Networks
School of Electronic Science and Engineering, Nanjing University, Nanjing, 210023, China(南京大学电子科学与技术学院);Department of Electrical and Computer Engineering, University of Waterloo, Waterloo, N2L3G1, Canada(滑铁卢大学电气与计算机工程系)