Traffic Characteristics Based Dynamic Radio Resource Management in Heterogeneous Wireless Networks  

作　　者：WEN Juan SHENG Min ZHANG Yan WANG Xijun LI Yuzhou 

机构地区：[1]Broadband Wireless Communications Laboratory, Information Science Institute, State Key Laboratory of Integrated Service Networks, Xidian University, Xi'an 710071, China

出　　处：《China Communications》2014年第1期1-11,共11页中国通信（英文版）

基　　金：ACKNOWLEDGEMENT This work was supported by the National Na- tural Science Foundation of China under Gra- nts No. 61172079, 61231008, No. 61201141, No. 61301176; the National Basic Research Program of China （973 Program） under Grant No. 2009CB320404; the 111 Project under Gr- ant No. B08038; the National Science and Tec- hnology Major Project under Grant No. 2012- ZX03002009-003, No. 2012ZX03004002-003; and the Shaanxi Province Science and Techno- logy Research and Development Program un- der Grant No. 2011KJXX-40.

摘　　要：The traffic with tidal phenomenon in Heterogeneous Wireless Networks(HWNs)has radically increased the complexity of radio resource management and its performance analysis.In this paper,a Simplified Dynamic Hierarchy Resource Management(SDHRM)algorithm exploiting the resources dynamically and intelligently is proposed with the consideration of tidal traffic.In network-level resource allocation,the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility.In connection-level network selection,based on the above resource allocation and the pre-defined QoS requirement,three typical network selection policies are provided to assign traffic flow to the most appropriate network.Furthermore,based on multidimensional Markov model,we analyse the performance of SDHRM in HWNs with heavy tailed traffic.Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can improve the resource utilization.The traffic with tidal phenomenon in Heterogeneous Wireless Networks （HWNs） has radically increased the complexity of radio resource management and its performance analysis. In this paper, a Simplified Dynamic Hierarchy Resource Management （SDHRM） algorithm exploiting the resources dynami- cally and intelligently is proposed with the consideration of tidal traffic. In network-level resource allocation, the proposed algorithm first adopts wavelet neural network to forecast the traffic of each sub-area and then allocates the resources to those sub-areas to maximise the network utility. In connection-level net- work selection, based on the above resource allocation and the pre-defined QoS require- ment, three typical network selection policies are provided to assign traffic flow to the most appropriate network. Furthermore, based on multidimensional Markov model, we analyse the performance of SDHRM in HWNs with heavy tailed traffic. Numerical results show that our theoretical values coincide with the simulation results and the SDHRM can im- prove the resource utilization.

关 键 词：heterogeneous wireless networks radio resource management multidimensional Markov analysis tidal traffic performance analysis 

分 类 号：TN929.53[电子电信—通信与信息系统] TN929.533[电子电信—信息与通信工程]