异构车联网中基于Markov决策的最优网络选择

发布时间：2018-05-02 19:44

本文选题：VX + 网络选择　；参考：《微电子学与计算机》2017年11期

【摘要】：在基于V2V和V2X的异构车联网系统中,车辆需要在各网络之间选择最优网络,针对网络选择技术普遍不能满足网络和车辆状态的随机无记忆性以及网络选择后状态的转移性,提出了基于VMDP的最优决策算法.该算法建立了VMDP状态空间以及状态转移概率矩阵,并且利用VIA求得最优网络选择策略.与其他算法进行性能对比,仿真结果表明该算法不仅能有效地实现车辆的最优网络选择,而且在通信链路质量和切换次数等性能上优于对比算法10%~30%,有效地提高了车辆通信性能.
[Abstract]:In the heterogeneous vehicle networking system based on V2V and V2X, the vehicle needs to select the optimal network among the networks. The network selection technology can not satisfy the random memorylessness of the network and the vehicle status and the transition of the state after the network selection. An optimal decision algorithm based on VMDP is proposed. The VMDP state space and the state transition probability matrix are established, and the optimal network selection strategy is obtained by using VIA. Compared with other algorithms, the simulation results show that the proposed algorithm not only can effectively realize the optimal network selection of vehicles, but also performs better than the contrast algorithm in terms of communication link quality and handover times, and improves the vehicle communication performance effectively.
【作者单位】：中国科学院上海微系统与信息技术研究所宽带无线移动通信实验室;中国科学院大学;
【基金】：中国科学院青年创新促进会资助项目
【分类号】：TN929.5;U495

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