  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.
