Latency-Efficient Video Streaming in Metropolis: A Caching Framework

摘要

This paper presents a latency-efficient mobile video streaming design in the context of metropolis by incorporating caching. It shows that video traffic can be substantially offloaded from backhaul by caching predictable demands in the network edge. Notably, exploiting the spatial and temporal characteristics of video popularity, we focus on two sub problems: how to cache the content and how to associate users. Firstly, we investigate cache deployment strategy based on clients' viewing behavior in both downtown and suburb. The proposed hybrid collaborative filtering (CF)-based scheme guarantees high hit rate utilizing the available storage capacity in small base stations (SBS). Further, we formulate the dynamic user equipment and SBS (UE- SBS) optimal association problem into a convex optimization problem, so as to maximize the sum transmission rate of SBSs under the resource and quality-of-service constraint. Performance evaluation of real trace data demonstrates the significant advantage of our proposed framework.