Crowdsourcing-based Multi-Device Communication Cooperation for Mobile High-Quality Video Enhancement

TL;DR

This paper proposes a crowdsourcing-based approach to optimize multi-device communication for mobile video enhancement, improving real-time device cooperation and network efficiency in 4G environments.

Contribution

It introduces a novel crowdsourcing framework with optimized movement control for device cooperation, including a pseudo-polynomial optimal solution and a graph-partition algorithm.

Findings

Enhanced real-time D2D communication efficiency

Effective user recruitment for mobile video applications

Improved network resource utilization

Abstract

The widespread use of mobile devices propels the development of new-fashioned video applications like 3D (3-Dimensional) stereo video and mobile cloud game via web or App, exerting more pressure on current mobile access network. To address this challenge, we adopt the crowdsourcing paradigm to offer some incentive for guiding the movement of recruited crowdsourcing users and facilitate the optimization of the movement control decision. In this paper, based on a practical 4G (4th-Generation) network throughput measurement study, we formulate the movement control decision as a cost-constrained user recruitment optimization problem. Considering the intractable complexity of this problem, we focus first on a single crowdsourcing user case and propose a pseudo-polynomial time complexity optimal solution. Then, we apply this solution to solve the more general problem of multiple users and propose a graph-partition-based algorithm. Extensive experiments show that our solutions can improve the efficiency of real-time D2D communication for mobile videos.