Dependence Control for Reliability Optimization in Vehicular Networks

Dependence Control for Reliability Optimization in Vehicular Networks
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DOI:
10.1109/globecom38437.2019.9013252
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发表时间:
2019-08
期刊:
2019 IEEE Global Communications Conference (GLOBECOM)
影响因子:
--
通讯作者:
Tengchan Zeng;Omid Semiari;W. Saad;M. Bennis
Tengchan Zeng;Omid Semiari;W. Saad;M. Bennis
中科院分区:
其他
文献类型:
--
作者:
Tengchan Zeng;Omid Semiari;W. Saad;M. Bennis

文献摘要

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车载网络将在增强道路安全、提高运输效率以及为道路上的用户提供无缝互联网服务方面发挥重要作用。获得车载网络的好处取决于满足严格的无线通信性能要求,特别是在延迟和可靠性方面。本文提出了一种依赖控制机制,以提高车辆网络的整体可靠性。特别地,首先对不同车辆到车辆(V2V)链路的通信延迟之间的依赖性进行建模。然后引入了随机序理论中的协调序概念,说明了可靠性越高,相关性越好。使用这种见解,制定功率分配问题,以最大限度地提高一致性,从而优化V2V系统的整体通信可靠性。为了获得一个有效的解决方案的功率分配问题,一个双重更新方法。仿真结果验证了依赖控制在车载网络可靠性优化中的有效性,并表明,所提出的机制可以实现高达25%的可靠性增益相比,使用随机功率分配的基线系统。
Vehicular networks will play an important role in enhancing road safety, improving transportation efficiency, and providing seamless Internet service for users on the road. Reaping the benefit of vehicular networks is contingent upon meeting stringent wireless communication performance requirements, particularly in terms of delay and reliability. In this paper, a dependence control mechanism is proposed to improve the overall reliability of vehicular networks. In particular, the dependence between the communication delays of different vehicleto-vehicle (V2V) links is first modeled. Then, the concept of a concordance order, stemming from stochastic ordering theory, is introduced to show that a higher dependence can lead to a better reliability. Using this insight, a power allocation problem is formulated to maximize the concordance, thereby optimizing the overall communication reliability of the V2V system. To obtain an efficient solution to the power allocation problem, a dual update method is introduced. Simulation results verify the effectiveness of performing dependence control for reliability optimization in a vehicular network, and show that the proposed mechanism can achieve up to 25% reliability gain compared to a baseline system that uses a random power allocation.