Title :
Alleviating Cellular Network Congestion Caused by Traffic Lights
Author :
Zaaraoui, Hind ; Altman, Zwi
Author_Institution :
Orange Labs., Issy-les-Moulineaux, France
Abstract :
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.
Keywords :
Long Term Evolution; automobiles; cellular radio; frequency allocation; numerical analysis; road traffic; α-fair utility; LTE-Advanced heterogeneous network; QoS degradation; car following model; cellular network periodic congestion; dynamic control scheme; dynamic frequency splitting algorithm; frequency reuse scheme; nonstationary traffic; numerical simulations; resource allocation; resource control; static frequency splitting algorithm; vehicular traffic light; Bandwidth; Heuristic algorithms; Mobile communication; Radio spectrum management; Throughput; Vehicle dynamics; Vehicles;
Conference_Titel :
Vehicular Technology Conference (VTC Spring), 2015 IEEE 81st
Conference_Location :
Glasgow
DOI :
10.1109/VTCSpring.2015.7145674