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Clustering Based Resource Management Scheme for Latency and Sum Rate Optimization in V2X Networks

机译:V2X网络中基于集群的延迟和总速率优化资源管理方案

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In this paper, a clustering based resource management scheme for latency and sum rate optimization in V2X networks is proposed to identify distinguished demands for different kinds of vehicular links, namely cellular-vehicle-to-vehicle (C-V2V) links and cellular-vehicle-to-infrastructure (C-V2I) links, and to improve the performance of cellular user in terms of sum rate, latency and throughput for C-V2I links while guaranteeing reliability for every C-V2V connection. To address the fast channel changes due to high mobility, we present a clustering based resource management model to achieve band sharing and efficient power management that depends on large scale fading. Besides, we have also considered the resource management problem of cellular V2X and VANETs users to reduce data transmission impacts. Firstly, the total average sum rate of each C-V2I links is used as an optimization goal to increase the throughput and to reduce latency of the entire C-V2I link. Secondly, cluster based optimum algorithms are proposed which give the optimum resource management. Simulation results reveal that the proposed scheme outperforms the existing scheme.
机译:本文提出了一种用于V2X网络中的等待时间和总速率优化的基于集群的资源管理方案,以识别对不同类型的车辆链接(即蜂窝车对车(C-V2V)链接和蜂窝车)的不同需求。到基础结构(C-V2I)链接,并在提高总用户速率,等待时间和C-V2I链接吞吐量方面提高蜂窝用户的性能,同时保证每个C-V2V连接的可靠性。为了解决由于高移动性而导致的快速信道变化,我们提出了一种基于集群的资源管理模型,以实现依赖于大规模衰落的频带共享和有效的功率管理。此外,我们还考虑了蜂窝V2X和VANET用户的资源管理问题,以减少数据传输的影响。首先,每个C-V2I链路的总平均总速率被用作优化目标,以增加吞吐量并减少整个C-V2I链路的等待时间。其次,提出了基于簇的最优算法,给出了最优的资源管理。仿真结果表明,该方案优于现有方案。

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