Spatially Scalable Lossy Coded Caching

TL;DR

This paper introduces a spatially scalable lossy coded caching scheme for wireless video multicasting, combining Maddah-Ali and Niesen's caching with scalable source coding to optimize delivery time and source distortion.

Contribution

It proposes a novel two-hop wireless network model with scalable source coding, integrating coded caching and multiple description coding for improved video delivery.

Findings

Tradeoff between delivery time and source distortion analyzed

System performance is independent of coverage area in large-scale networks

Spatially scalable caching scheme enhances video multicasting efficiency

Abstract

We apply the coded caching scheme proposed by Maddah-Ali and Niesen to a multipoint multicasting video paradigm. Partially caching the video files on the wireless devices provides an opportunity to decrease data traffic load in peak hours via sending multicast coded messages to users. In this paper, we propose a two-hop wireless network for video multicasting, where the common coded multicast message is transmitted through different single antenna Edge Nodes (ENs) to multiple antenna users. Each user can decide to decode any EN by using a zero forcing receiver. Motivated by Scalable Video Coding (SVC), we consider successive refinement source coding in order to provide a ``softer'' tradeoff between the number of decoded ENs and the source distortion at each user receiver. The resulting coding scheme can be seen as the concatenation of Maddah-Ali and Niesen coded caching for each source-coded layer, and multiple description coding. Using stochastic geometry, we investigate the tradeoff between delivery time and per-user average source distortion. The proposed system is spatially scalable in the sense that, for given users' and ENs' spatial density, the achieved distortion-delivery time performance is independent of the coverage area (for in the limit of large area).