A Hybrid Transmission Approach for DASH over MBMS in LTE Network

Abstract

Dynamic adaptive streaming over HTTP (DASH) has been a research hotspot, and the current studies focus on the DASH transmission optimization using unicast mode. However, DASH streaming also could be transmitted by multicast mode, which could effectively reduce transmission resource consumption especially when multiple DASH clients request the same video program in parallel. In this paper, we propose the Hybrid Transmission strategies for DASH (HTD) in LTE network, which is considered both unicast and multicast modes for DASH. The optimization problem is formulated as a Mixed Binary Integer Programming (MBIP) problem, and a two-level greedy algorithm is proposed, which could improve the quality of experience (QoE) of wireless DASH users, and save the wireless resources in LTE network. Simulation results demonstrate that our scheme achieves better performance than traditional single transmission mode in the literature.