Joint Mode Selection and Resource Allocation for Scalable Video Multicast in Hybrid Cellular and D2D Network

Scalable wireless video multicast has been widely studied as an efficient mechanism for real-time video transmission, and scalable video coding alongside adaptive modulation and coding is proposed to address the heterogeneity of networks and user capabilities in next generation mobile communication networks. This paper combines D2D technology with the traditional cellular network to form a hybrid network to improve video subscriber users’ experience. The proposed scheme is formulated into a joint mode selection, resource, and power allocation problem based on interference mitigation, which is proven to be NP-hard. Then, we divide it into two sub-problems, where the first one is model selection to maximize the number of D2D users who can access the systems, and the other is to assign appropriate MCS and resource blocks to each video layer. To solve these two problems, we present a greedy algorithm and a heuristic algorithm, respectively. Simulation results show that our hybrid cellular and D2D communications network can effectively increase the capacity of system users, and the mixed network video multicast model can improve the overall system throughput while providing better video quality.