Title :
VOPP: A VANET offloading potential prediction model
Author :
El Mouna Zhioua, Ghayet ; Jun Zhang ; Labiod, Houda ; Tabbane, Nabil ; Tabbane, Sami
Author_Institution :
InfRes, Telecom ParisTech, Paris, France
Abstract :
In this work, we investigate upon the potential of considering the Intelligent Transportation Systems (ITS) for cellular traffic offloading as an alternative to Wi-Fi and femtoCells approaches. We propose an analytical study based on an optimization problem formulation called VOPP where the objective is to elect the maximum number of data flows that could be routed to the downloaders through the Vehicular Network (VANET). VOPP considers the link availability between the infrastructure and the downloader, the medium contention, interferences, data volume, gateways capacity and the channel aggregation to evaluate the VANET capacity to support additional traffics. Numerical results of our analytical approach show that the data offloading fraction is closely tied to the data volume of the flows and to the vehicles positions and VANET topology.
Keywords :
cellular radio; femtocellular radio; integer programming; intelligent transportation systems; linear programming; radio links; radiofrequency interference; telecommunication network topology; telecommunication traffic; vehicular ad hoc networks; wireless LAN; wireless channels; ITS; VANET offloading potential prediction model; VANET topology; VOPP; Wi-Fi; cellular traffic offloading; channel aggregation; data flow; data offloading fraction; data volume; femtocell approach; gateway capacity; intelligent transportation system; interference; mixed integer linear programming; optimization problem; vehicular network; Availability; Logic gates; Mobile communication; Optimization; Topology; Vehicles; Vehicular ad hoc networks; Analytic; Cellular Network; Offload; Optimization; VANET;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2014 IEEE
Conference_Location :
Istanbul
DOI :
10.1109/WCNC.2014.6952726