Abstract
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.
Highlights
Mobile multimedia content, especially video traffic, has been growing at a rapid pace
We propose a wireless access network architecture based on the Mobile edge computing (MEC) and Software-defined networking (SDN) concepts, called CloudEdge, for more efficient and robust video streaming and content delivery
In order to establish a baseline for comparison of a CloudEdge network that can transcode users’ video streams and a basic wireless network that cannot, we consider the effect of packet loss on the average quality of experience (QoE) of a video stream
Summary
Especially video traffic, has been growing at a rapid pace. MEC servers or microcloud with computing, storage, and communication capabilities can be deployed to process data in the wireless access networks, e.g., adapting video rates to changing network conditions, to improve the QoE of video streaming. We propose a wireless access network architecture based on the MEC and SDN concepts, called CloudEdge, for more efficient and robust video streaming and content delivery. Computing servers can be deployed in the wireless access network, and various resources are controlled by a unified orchestration platform to fully exploit the potential of innetwork processing to enhance user experience and optimize traffic in the network. With integrated in-network data processing and wireless delivery, it is possible for the network to optimize the overall performance based on the demands of multiple users To achieve this potential, multiple resources in the network including bandwidth and CPU cycles need to be carefully managed.
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