Analysis of Opportunistic Relaying and Load Balancing Gains through V2V Clustering
Analysis of Opportunistic Relaying and Load Balancing Gains through V2V Clustering
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DOI：
10.1109/tvt.2022.3178129
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发表时间：
2022
影响因子：
6.8
通讯作者：
Saadallah Kassir;G. de Veciana;N. Wang;Xi Wang;P. Palacharla
中科院分区：
文献类型：
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作者：
Saadallah Kassir;G. de Veciana;N. Wang;Xi Wang;P. Palacharla
数字化、人工智能和无线网络的最新进展正在给传统交通网络和汽车行业带来革命性的变化，例如导致拼车服务的广泛采用和自动驾驶汽车的出现。因此，预计车辆乘客消费的信息娱乐数据量将大幅上升。为了支持这样的流量负载，我们探索将车辆作为蜂窝基础设施的一部分。本文研究并量化了使用车到车(V2V)通信形成中继群将带来的性能收益，包括(1)通过将群的流量通过获得最佳信道质量的车辆来中继，从而改善对蜂窝基础设施的机会信道接入；(2)通过群多宿来平衡小区间的流量负载。我们引入了一个随机几何模型，使我们能够更深入地了解基于簇的机会中继的可能收益及其对系统参数的敏感性，例如基站密度、道路上的车辆密度等。我们开发了一个自然网络效用最大化问题作为基准来评估一个更简单的分布式簇管理算法的性能，我们证明了该算法是接近最优的。总体而言，结果表明，车辆的共享率可以提高10-20倍，同时显著的公平性改善，而其他移动设备也受益于所提出的网络架构。
Recent advances in digitization, artificial intelligence, and wireless networking are revolutionizing the traditional transportation networks and the automotive industry, leading for instance to the widespread adoption of ride-sharing services and the emergence of self-driving vehicles. As a result, a considerable rise in the volume of infotainment data consumed by the vehicles' passengers is expected. To support such traffic loads, we explore leveraging vehicles as part of the cellular infrastructure. This paper investigates and quantifies the performance gains that using Vehicle-to-Vehicle (V2V) communication to form relay clusters would enable, including (1) improving opportunistic channel access to the cellular infrastructure by relaying the cluster's traffic through the vehicle seeing the best channel quality; and (2) balancing traffic loads across cells through cluster multihoming. We introduce a stochastic geometric model allowing us to provide a deeper understanding of the possible gains associated with cluster-based opportunistic relaying and its sensitivity to the system parameters, e.g., base station density, vehicle density on the roads, etc. We develop a natural network utility maximization problem to serve as a baseline to evaluate the performance of a simpler distributed cluster management algorithm which we show to be near-optimal. Overall the results suggest that 10-20× gains in the vehicles' shared rate can be achieved along with significant fairness improvements, while other mobile devices also benefit from the proposed network architecture.