A Performance Analysis of Adaptive Streaming Algorithms in 5G Vehicular Communications in Urban Scenarios

Adaptive streaming is a technique used in multimedia over computer networks where the source content is encoded to decide about which bit-rate segments to download, through algorithms. The contribution of this work is the investigation about which and why an adaptation algorithm can be running included as service, aiming to relax network congestion while improving the user experience at onboard entertainment services. The goals of this present paper are the multimedia service delivery analysis to improve its efficiency in 5G vehicular communications, also to evaluate the vehicular Internet-based video services traffic in urban scenarios with different vehicle densities, and still to perform the vehicle-communication simulations in the 5G network to estimate the metrics for the algorithm selection. In this proposal, the studied metrics are the number of playback interruptions, video quality, quality of transitions, average buffer level, average bit-rate and bit-rate switching frequency, throughput, unfairness, instability, and inefficiency. The results have shown PANDA as the best adaptive streaming algorithm to perform videos in vehicular communications in urban scenarios.