Heterogeneous User-Centric Cluster Migration Improves the Connectivity-Handover Trade-Off in Vehicular Networks

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 12; pp. 16027 - 16043
• Main Authors: Lin, Yan, Zhang, Zhengming, Huang, Yongming, Li, Jun, Shu, Feng, Hanzo, Lajos
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.12.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Clustering; Decision making; deep reinforcement learning; Handover; heterogeneous; max-bipartite matching; Network topology; Networks; Next generation networking; Roads; Switches; Throughput; Tradeoffs; User-centric clustering; Vehicle dynamics; Vehicle-to-infrastructure; Vehicular ad hoc networks; vehicular networks

User-centric (UC) clustering has recently emerged as a promising paradigm for enhancing the connectivity of mobile users by grouping an appropriate number of access points (APs), thus paving the way for seamlessly connected vehicular networks. However, for a high-velocity vehicular user, UC clusteri...