Due to the growth of network capacity and computing power, many multimedia services such as video on demand (VOD) and video streaming have appeared. To accommodate those services in cellular networks, an efficient radio resource management scheme that considers traffic characteristics is needed.Especially, among multimedia services, video streaming traffic has distinct characteristics. That is, video streaming does not require user to download all data composing video clip before playback. To identify the properties of video streaming traffic more precisely, many researchers have investigated YouTube, which is one of the most famous social networking services that carries a lot of video streaming traffic.Although there have been many studies on YouTube traffic itself in the literature, few studies have tried to apply those findings into radio resource allocation.In this paper, we propose a resource allocation scheme for the YouTube service in cellular networks that maximizes throughput while maintaining client buffer size in a predefined range. For this purpose, we use minimum rate requirement adaptation as an indirect method to adjust the buffer sizes of clients. Proposed scheme determines the minimum rate requirement of each user at each time slot by the information reported from each user such as buffer amount of the user and received data. Simulation results show that our resource allocation algorithm outperforms existing resource allocation schemes in terms of the QoS satisfaction of users by using average user satisfaction ratio and the number of pauses during playback.
PDF
download
878987797
028-85220240
