Research On Radio Resource Management And Cross-Layer Optimization In Mobile Multi-media Communication Network

With the development of telecommunication technology and the popularity of Internet, Mobile multimedia Networks are expected to provide wider bandwidth, higher transmission rate as well as strict Quality of Service (QoS) guarantee. However, the inherent transmission traits of physical layer in wireless networks, limit radio resource as well as requirementy on broadband have brought new challges in Radio Resource Manangement (RRM) researches. The difficulty in wileless /mobile networks is how to provide diverse QoS guarantee to mutltimedia application, and at the same time maximize wirelss spectrum resource. This dissertation researches the key technologies of QoS guaranteeing in mobile multimedia communication network as the view of system design.Firstly, the author introduces network environment and model of Radio Resource Manangement, illuminate the function and relationship of call admission control and packet scheduling. Then, explain the design method of the two parts as the foundation of this paper, inculding correlative conception, key technologies, analysis methods and so on.Secondly, author research resource allocation strategy in call admission control revelant to multiservice application in wireless networks and propose limited access probability-based call admission control to deal with the tradeoff between QoS guarantee and resource utilization. And then present adaptive call admission control framework that online management of both quality of service and provider revenue can be performed in CDMA system by adaptive control of system. The Markov model is established on a novel capacity model which considers the imperfect power control to guarantee the outage probability constraints. From the result of the Markov model, the limited access probability is periodically adjusted according to the currently system condition. Quality of Services (QoS) and revenue can guarantee a prior setting goal. To illustrate the effectiveness of strategy, we present quantitative results for the Markov model and a simulation study.Subsequently, the adaptive bandwidth allocation (ABA) and call admission control algorithm combining with ABA is studied for application of adaptive multimdis technology in wireless network. In this chapter, we firstly propose adaptive bandwidth allocation with two-tier classification using the priority type of services and users to deal with the problem in existing algorithms which is unable to balance satisfaction and fairness of users, Then present improved call admission control working in conjunction with bandwidth adaptation and backoff waiting schemes for adaptive multimedia CDMA cellular network.. The algorithm of backoff algorithm for backoff waiting is different from traditional priority queen, which introduces for rejected new call to increase access opportunity. Simulation results have demonstrated that the proposed adaptive CAC scheme guarantees the QoS of different traffic efficiently, and improve the resource utility significantly.The adaptive cross-layer scheduling algorithm (TCAS) for real-time services in mobile multimedia network is proposed. The algorithm introduces scheduling probability as the decision-making factor, designs resource allocation method that integrate pre-allocation and on-line scheduling based on decision-making factor, using the cross-layer information of traffic and channel. Simulation results have demonstrated that, comparing with Proportional Fair Sharing scheduling (PFS) and Channel-aware Scheduling with Transmitted Traffic Information (CASTI) algorithm, the proposed algorithm has flexibility and stability for multi-media in the wireless network, which not only provides diverse QoS guarantee, but also improve the resource utility significantly.Finally we conclude this dissertation, and put forward some suggestions for future research on some issues.