Handover Optimization for VANET in 5G Networks

被引:0
作者
Aboud, Ahmed [1 ]
Touati, Haifa [2 ]
Hnich, Brahim [3 ]
机构
[1] Univ Gabes, Natl Engn Sch Sfax, IResCoMath Res Unit, Gabes, Tunisia
[2] Univ Gabes, Fac Sci Gabes, IResCoMath Res Unit, Gabes, Tunisia
[3] Univ Sfax, Fac Sci Monastir, CES Lab, Sfax, Tunisia
来源
2021 IEEE 18TH ANNUAL CONSUMER COMMUNICATIONS & NETWORKING CONFERENCE (CCNC) | 2021年
关键词
Handover; 5G; Mobility; Markov Chain; trajectory prediction;
D O I
10.1109/CCNC49032.2021.9369552
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
VANETs are characterized by the rapid changes in network topology due to their random movement patterns and their high-speed mobility. Hence, the support of efficient mobility management solutions become an important feature in VANET. Most of VANET applications need internet access almost everywhere and at any time without interruption. Thus, ensuring a seamless connection and enhanced throughput performance requires an improved handover strategy. In this paper, we introduce a new handover optimization method for the 5G cellular network. A mobility prediction algorithm coupled with previous handover events logs was used to predict when and where the handover will occur in the network. In the proposed work, we aim to minimize the number of handover events without degrading network performance. A simulation-based performance study was conducted to evaluate the effectiveness of the proposed methods, and the results were compared to the 3GPP conventional handover solution. It was found that our proposed solution reduces the number of handover events without affecting the network quality.
引用
收藏
页数:2
相关论文
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