AG-MS: A User Grouping Scheme for DASH Multicast over Wireless Networks

摘要

With the exponential growth of the mobile video traffic and the dramatic diversity of wireless channels among users, maintaining a tradeoff between resource consumption and perceived experience of users is of overwhelming challenges. Dynamic Adaptive Streaming over HTTP(DASH), as a promising technique to improve the video transmission efficiency, achieves bitrate adaption at users' ends to accommodate to the unstability of channel conditions. However, as the thriving of live video services, multicast is a widely used transmission mode which gains huge economization of spectrum resource. This paper investigates a user grouping scheme for DASH multicast service over LTE downlink systems. The objective of the research is to maximize the users' throughput and quality of experience(QoE). First, we present a method to automatically determine the number of groups in DASH multicast scenario. Second, a cluster grouping algorithm is used to assign users into several groups. Numerical simulation results show that the proposed grouping scheme obtains favorable performance.