Adaptive User-centric Virtual Cell Handover Decision-making in 5G Vehicular Networks

被引：1

作者：

Murshed, Mubashir ^{[1
]}

Carvalho, Glaucio H. S. ^{[1
]}

De Grande, Robson E. ^{[1
]}

机构：

[1] Brock Univ, Dept Comp Sci, St Catharines, ON, Canada

来源：

ICC 2023-IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS | 2023年

基金：

加拿大自然科学与工程研究理事会;

关键词：

5G; Virtual Cell; Handover; Mobility; Ultra-dense Networks; MANAGEMENT;

D O I：

10.1109/ICC45041.2023.10279306

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Connected vehicles enable massive data sharing and support intelligent transportation services. Consequently, a stable connection is compulsory to transmit across the network successfully, where 5G technology introduces more bandwidth, stability, and reliability. However, 5G communication is susceptible to frequent handovers and connection drops. A user-centric perspective helps cope with the smaller communication range in ultra-dense 5G networks. We thus introduce a Connectivity-oriented SARSA Reinforcement Learning (CO-SRL) algorithm for user-centric to efficiently handle virtual cell (VC) management and reduce the number of handovers (HO). The adaptability of the algorithm copes with high vehicular mobility and dynamic traffic and communication, deciding on in-rage cellular towers and VC size. Realistic simulated analyses showed CO-SRL reduced the number of handovers and the cumulative handover time.

引用

页码：3983 / 3988

页数：6

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