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A Low-Cost Resource Re-Allocation Scheme for Increasing the Number of Guaranteed Services in Resource-Limited Vehicular Networks

机译:一种资源有限的车载网络中增加保证服务数量的低成本资源重新分配方案

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摘要

Vehicular networks are becoming increasingly dense due to expanding wireless services and platooning has been regarded as a promising technology to improve road capacity and on-road safety. Constrained by limited resources, not all communication links in platoons can be allocated to the resources without suffering interference. To guarantee the quality of service, it is required to determine the set of served services at which the scale of demand exceeds the capability of the network. To increase the number of guaranteed services, the resource allocation has to be adjusted to adapt to the dynamic environment of the vehicular network. However, resource re-allocation results in additional costs, including signal overhead and latency. To increase the number of guaranteed services at a low-cost in a resource-limited vehicular network, we propose a time dynamic optimization method that constrains the network re-allocation rate. To decrease the computational complexity, the time dynamic optimization problem is converted into a deterministic optimization problem using the Lyapunov optimization theory. The simulation indicates that the analytical results do approximate the reality, and that the proposed scheme results in a higher number of guaranteed services as compared to the results of a similar algorithm.
机译:由于无线服务的扩展,车载网络正变得越来越密集,排长队已被认为是提高道路通行能力和道路安全性的有前途的技术。受有限资源的约束,并非排中的所有通信链接都可以分配给资源而不会受到干扰。为了保证服务质量,需要确定需求规模超出网络能力的服务集。为了增加保证服务的数量,必须调整资源分配以适应车载网络的动态环境。但是,资源重新分配会导致额外的成本,包括信号开销和延迟。为了在资源有限的车载网络中以低成本增加有保证的服务数量,我们提出了一种时间动态优化方法,该方法限制了网络的重新分配率。为了降低计算复杂度,使用Lyapunov优化理论将时间动态优化问题转换为确定性优化问题。仿真表明,分析结果确实逼近了现实,并且与类似算法的结果相比,所提出的方案可提供更多的有保证的服务。

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