Title :
Opportunistic WiFi offloading in vehicular environment: A queueing analysis
Author :
Nan Cheng ; Ning Lu ; Ning Zhang ; Shen, Xuemin Sherman ; Mark, Jon W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Waterloo, Waterloo, ON, Canada
Abstract :
In this paper, we present an analytical framework for offloading cellular traffic by outdoor WiFi network in the vehicular environment. Specifically, we consider a generic vehicular user with Poisson data service arrivals to download/upload data from/to the Internet through the cost-effective WiFi network (want-to) or the cellular network providing full service coverage (have-to). Under this scenario, the WiFi offloading performance, characterized by offloading effectiveness, is analyzed in terms of desired average service delay which is the average time the data services can be deferred for WiFi availability. We establish an explicit relation between offloading effectiveness and average service delay by an M/G/l/K queueing model, and the tradeoff between the two is examined. We validate our analytical framework through simulations based on a VANET simulation tool VANETMobisim and real map data sets. Our analytical framework should be valuable for providing offloading guidelines to both vehicular users and network operators.
Keywords :
Internet; cellular radio; queueing theory; stochastic processes; telecommunication traffic; vehicular ad hoc networks; wireless LAN; Internet; M/G/l/K queueing model; Poisson data service; VANET simulation; VANETMobisim tool; average service delay; cellular network; cost-effective WiFi network; offloading cellular traffic; opportunistic WiFi offloading performance; outdoor WiFi network; queueing analysis; real map data sets; vehicular environment; Analytical models; Data models; Delays; IEEE 802.11 Standards; Internet; Queueing analysis; Vehicles;
Conference_Titel :
Global Communications Conference (GLOBECOM), 2014 IEEE
Conference_Location :
Austin, TX
DOI :
10.1109/GLOCOM.2014.7036809