Mobile Communications Network Of Successful Change Management Techniques

The"Communication in moving"network employs multi-layer architecture, where not only is the mobile user moving at random, but also the Radio Access Point (RAP) and the whole network. And the physical links to connect RAPs is based on wireless Ad Hoc. So it has such characteristics as self-organized, dynamic topology, random moving, limited resources and so on. All the analysis above require us to provide the technology support for establishing the communication link and the communication holding quickly between the users, and then to provide Quality of Service(QoS) guarantees for different service. Therefore, it is very important to forward a suitable handover algrithm, which can prevent the communication from interruptting and provide QoS guarantees while the network topology is changing.Handover management is a key thechnology of mobility management. It is able to keep the communications when the mobile terminals move from one area to another. The goal of handover management is to provide a seamless connection QoS guarentees for kinds of services when a handover accours. Recently, there are kinds of typical handover thechnologies, such as those in cellar network, those in Mobile IP, and so on. However, there will be some limitations if those technologies are applied to the"Communication in moving"network. Focus on the characteristics of this network, such as dynamic topology, self-organized network and service diversity, this thesis puts forward a diff-service handover algrithm based on traditional handover algrithms. In this algrithm, mobile users with realtime traffic use Mobile Controlled HandOver(MCHO) algrithm combined with some method to avioding ping pong effect, while mobile users with non-realtime traffic imploy Mobile Assisted HandOver(MAHO) algrithm associated with some strategies to reduce network cost and guarentee route optimization. In addition, an algorithm is proposed that can realize smooth handover via creating system buffers. We also propose a buffer optimization algorithm. This mechanism can keep communication while handover occuers and support all kinds of handovers. It also realizes the goal of supporting all communication situations which depend on the network entities. Furthermore, considering specific traffics, we propose some methods to optimize system performances and protocol stack. Stream transport mechanism is explored for delay-sensitive realtime traffic while comfirm retransmition mechanism is proposed for non-realtime traffic. These strategies optimize system performances and provide QoS guarentees.Finally, the improved algrithms and optimization strateges are simulated by OPNET and the simulation results demonstrate that the strategy is effective in the"Communication in moving"network by collecting the simulation data and comparing the system performances.