We study the problem of broadcasting scalable video coded (SVC) streams in cellular networks, where all user equipments (UEs) require the same video content and cooperate with each other. To take the advantage of channel diversity gains, the base station (BS) uses network coding to generate linear combinations of the video packets for broadcasting in the downlink. Once receiving sufficient number of the combinations, a UE can relay packets to others via device-to-device (D2D) connections. To optimize the downlink and D2D transmission arrangement, we first formulate a mixed integer non-linear programming (MINLP) problem, which becomes difficult to solve when the number of UEs increases. Then we convert the MINLP problem to a quasi-convex optimization problem using a continuous step function, and a primal-dual decomposition approach is used to solve it in a distributed way. Simulation results show that the proposed approach achieves a near-optimal solution.
CITATION STYLE
Feng, G., Lin, J., Zhang, Y., Wang, H., Cai, L., Zhao, Q., & Lv, H. (2016). Joint optimization of downlink and D2D transmissions for SVC streaming in cooperative cellular networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9798 LNCS, pp. 149–161). Springer Verlag. https://doi.org/10.1007/978-3-319-42836-9_14
Mendeley helps you to discover research relevant for your work.