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Alleviating Cellular Network Congestion Caused by Traffic Lights

机译:缓解交通信号灯引起的蜂窝网络拥塞

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The aim of this paper is to study resource allocation and control in a LTE-Advanced heterogeneous network with vehicular traffic in the presence of traffic light. A car following model is used to model the cars' speed and their interactions. A small cell is deployed near the traffic light to relieve periodic congestion and QoS degradation. Three resource allocation and control schemes are investigated: a full frequency reuse, a static and a dynamic frequency splitting algorithm that are optimized with respect to a throughput based _-fair utility. Through numerical simulations, it is shown that the frequency splitting algorithms outperform the full frequency reuse scheme in term of user throughput and file transfer time. Furthermore, it is shown that dynamic control scheme is of particular interest for non-stationary traffic as the one introduced by a periodic traffic light.
机译:本文的目的是研究在交通信号灯存在的情况下,具有车辆流量的LTE-Advanced异构网络中的资源分配和控制。汽车跟随模型用于对汽车的速度及其相互作用进行建模。在交通信号灯附近部署了一个小型小区,以缓解周期性拥塞和QoS下降。研究了三种资源分配和控制方案:全频率重用,静态和动态频率分割算法,这些算法针对基于吞吐量的_fair实用程序进行了优化。通过数值模拟表明,在用户吞吐量和文件传输时间方面,分频算法的性能优于全频率复用方案。此外,示出了动态控制方案对于非固定交通特别有意义,因为周期性交通灯引入了动态控制方案。

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