Delivering Video-on-Demand services with IEEE 802.11p to major non-urban roads: A stochastic performance analysis

Abstract

In this paper, we introduce a relatively simple and versatile analytical model to compute the performance of an IEEE 802.11-based Video-on-Demand (VoD) service for connected vehicles traveling along a highway or an expressway. We use a probabilistic approach to account for the intrinsic dynamics (mobility) of vehicles, the density of subscriber vehicles, the distance between Road Side Units (RSUs), as well as the video codec bit rate. Our solution delivers estimates for the attained throughput of each subscriber vehicle as well as for their interruption times in the playback of their video. We studied several scenarios to assess the accuracy of our approximate solution comparing its results with those of a discrete-event simulator with realistic vehicular traffic trajectories, video traffic, and networking protocols. Overall, our solution is found to be accurate delivering estimates in good agreement with the simulation results. Through several applications, we illustrate how our analytical solution can help in the design of a VoD service for vehicles for capacity planning purposes, or at improving its performance with the use of a blocking policy.

Strategies to Plan the Number and Locations of RSUs for an IEEE 802.11p-based Infrastructure in Urban Environment

“…Despite its relative simplicity, the model was found to yield estimates that differ only by 24% with those delivered by the simulations using ns-3 and sumo. For more details, we refer the interested reader to [3] where the same model was used for the simpler case of a major freeway. This analytical model is involved as a building block for the proposed strategies.…”

“…In this paper, traffic is transmitted exclusively between RSUs and vehicles which is a more realistic assumption for a multi-service network providing non-free services. Note that in our previous works [2,3], we studied the performance delivered by an infrastructure composed of RSUs through the knowledge of vehicle density as well as the use of an analytical model of 802.11p, initially introduced in [1]. However, unlike the current paper, both studies were dealing with the much simpler case of major freeways wherein vehicle trajectories are predictable.…”