Wireless Adaptive Video Streaming with Edge Cloud

Abstract EN

Wireless data traffic, especially video traffic, continues to increase at a rapid rate.

Innovative network architectures and protocols are needed to improve the efficiency of data delivery and the quality of experience (QoE) of mobile users.

Mobile edge computing (MEC) is a new paradigm that integrates computing capabilities at the edge of the wireless network.

This paper presents a computation-capable and programmable wireless access network architecture to enable more efficient and robust video content delivery based on the MEC concept.

It incorporates in-network data processing and communications under a unified software-defined networking platform.

To address the multiple resource management challenges that arise in exploiting such integration, we propose a framework to optimize the QoE for multiple video streams, subject to wireless transmission capacity and in-network computation constraints.

We then propose two simplified algorithms for resource allocation.

The evaluation results demonstrate the benefits of the proposed algorithms for the optimization of video content delivery.