Resource Allocation and User Association for HTTP Adaptive Streaming in Heterogeneous Cellular Networks with Small Cells  

作　　者：Jiang Liu 

机构地区：[1]State Key Laboratory of Networking and Switching Technology,Beijing University of Post and Telecommunications,Beijing 100876,China [2]Department of Systems and Computer Engineering,Carleton University,Ottawa,ON,Canada [3]Beijing Advanced Innovation Center for Future Internet Technology,Beijing 100124,China

出　　处：《China Communications》2016年第9期1-11,共11页中国通信（英文版）

基　　金：fully supported under the National Natural Science Funds(Project Number:61501042 and 61302089);National High Technology Research and Development Program(863)of China(Project Number:2015AA016101 and 2015AA015702);BUPT Special Program for Youth Scientific Research Innovation(Grant No.2015RC10)

摘　　要：Video streaming,especially hypertext transfer protocol based(HTTP) adaptive streaming(HAS) of video,has been expected to be a dominant application over mobile networks in the near future,which brings huge challenge for the mobile networks.Although some works have been done for video streaming delivery in heterogeneous cellular networks,most of them focus on the video streaming scheduling or the caching strategy design.The problem of joint user association and rate allocation to maximize the system utility while satisfying the requirement of the quality of experience of users is largely ignored.In this paper,the problem of joint user association and rate allocation for HTTP adaptive streaming in heterogeneous cellular networks is studied,we model the optimization problem as a mixed integer programming problem.And to reduce the computational complexity,an optimal rate allocation using the Lagrangian dual method under the assumption of knowing user association for BSs is first solved.Then we use the many-to-one matching model to analyze the user association problem,and the joint user association and rate allocation based on the distributed greedy matching algorithm is proposed.Finally,extensive simulation results are illustrated to demonstrate the performance of the proposed scheme.Video streaming, especially hypertext transfer protocol based （HTTP） adaptive streaming （HAS） of video, has been expected to be a dominant application over mobile networks in the near future, which brings huge challenge for the mobile networks. Although some works have been done for video streaming delivery in heterogeneous cellular networks, most of them focus on the video streaming scheduling or the caching strategy design. The problem of joint user association and rate allocation to maximize the system utility while satisfying the requirement of the quality of experience of users is largely ignored. In this paper, the problem of joint user association and rate allocation for HTTP adaptive streaming in heterogeneous cellular networks is studied, we model the optimiza- tion problem as a mixed integer programming problem. And to reduce the computational complexity, an optimal rate allocation using the Lagrangian dual method under the assumption of knowing user association for BSs is first solved. Then we use the many-to-one matching model to analyze the user association problem, and the joint user association and rate allocation based on the distributed greedy matching algorithm is proposed. Finally, extensive simulation results are illustrated to demonstrate the performance of the proposed scheme.

关 键 词：heterogeneous cellular networks user association rate allocation http adaptive streaming matching algorithm 

分 类 号：TP393[自动化与计算机技术—计算机应用技术] TN929.53[自动化与计算机技术—计算机科学与技术]