Traffic Modeling And Wireless Resource Management

In recent years, with the wireless communication technology developed rapidly and the number of mobile users raise obviously, the demands of using multimedia applications (such as data, image and video) were also increasing rapidly. As wireless resource is often limited in practical wireless networks, trying to allow as many applications as possible to be accessed with limited wireless resource, while QoS of each application can be acceptable, becomes a important and difficult problem. In this circumstance, study on modeling the traffic of different types of applications and wireless resource management in future wireless networks is becoming more and more necessary.In this paper, P2P applications modeling and wireless resource allocation are studied. The application scenes include high speed mobile application scene and dense users application scene. These two scenes have something in common, but the differences between them are also obvious. In high speed mobile application scene, the channel quality changed more rapidly, while in dense users application scene, the user number is much larger and the competition of wireless resource is more serious. Additionally, the network topologies of these two scenes are different. In high speed mobile application scene, all users share common in and out communication links, while each user can be connected directly to base stations in dense users application scene.The content of this study includes: (1) Modeling P2P file sharing system in a network circumstance with bottleneck links. (2) Investigating utility-based resource allocation for mixed traffic in wireless access networks.The contributions of this paper are listed as follows: (1)In a Network Circumstance with Bottleneck Links, after analyzing the characteristic of P2P file sharing system (take BitTorrent system for an example), an improved fluid model is proposed, this model can be used to analyze the evolution of peers and predict the average file download delay of BitTorrent system which previous works seldom focus on. (2) Resource allocation for mixed traffic in wireless access networks is investigated and a Utility-based Resource Dynamic Allocation (URDA) algorithm is proposed. This algorithm considers the QoS characteristics, real-time resource requirements and wireless channel qualities that belong to different types of applications, and then generates utility functions of them. The resource is allocated dynamically according to these utility functions. Simulation results indicate that URDA works much better than traditional algorithms and achieves the target of resource allocation optimization. (3) After analyzing the QoS characteristic of P2P video and file sharing applications, these two types of P2P applications are both added into the utility-based resource dynamic allocation framework.