重庆邮电大学学报（自然科学版）2024，Vol.36Issue(2)：229-241,13.DOI:10.3979/j.issn.1673-825X.202211250340
基于接收信号强度预测的自适应垂直切换算法
Adaptive vertical handoff algorithm based on received signal strength prediction
摘要
Abstract
In the urban scenario,movement states and service types of vehicle terminals in ultra-dense heterogeneous wire-less networks vary greatly.To address the frequent handoff and congestion problems caused by concurrent access of termi-nals with different movement states and service types,this paper proposes an adaptive vertical handoff algorithm based on received signal strength prediction.Firstly,the received signal strength is predicted using a long short-term memory neural network in the handoff trigger phase.Secondly,network parameters and access preferences of terminals under different movement states and service types are considered in the network selection phase.The network with the highest comprehen-sive benefit value is selected as the target network.Finally,simulation results show that the algorithm can adapt to changes in terminal movement states and service types,and reduce the number of unnecessary handoffs and network congestion.关键词
超密集异构无线网络/循环神经网络/支持向量机/自适应算法/频繁切换Key words
ultra-dense heterogeneous wireless networks/recurrent neural network/support vector machine/adaptive algo-rithm/frequent handoff分类
信息技术与安全科学引用本文复制引用
马彬,刘爽,谢显中..基于接收信号强度预测的自适应垂直切换算法[J].重庆邮电大学学报（自然科学版）,2024,36(2):229-241,13.基金项目
重庆市教委科学技术研究重大项目(KJZD-M201900602) （KJZD-M201900602）
重庆市教委科学技术研究重点项目(KJZD-M201800603)The Major Project of Science and Technology Research of Chongqing Education Commission(KJZD-M201900602) （KJZD-M201800603）
The Key Project of Science and Technology Research of Chongqing Education Commission(KJZD-M201800603)M201800603) （KJZD-M201800603）
