Research On Resource Management Of Moving Network

Recently, with the large-scale commercial application of the fourth generation of mobile communication, the fifth generation of mobile communication (5G) gradually becomes research hotspot. In 5G, moving network is presented as a key scenario to face and solve. In the moving network, the high speed of mobile terminals will lead to poor radio channel condition. Besides, the communication quality of mobile terminals will decreases significantly due to the serious penetration loss of vehicle, the limited physical condition of mobile terminals and so on.Therefore, this thesis researches the resource management of moving network, aiming to improve the mobile user service quality while reducing power consumption of system. In the research, the thesis takes advantage of other technical methods to assist the communication in moving network, including moving relay (MR), and UE-to-Network Relay. The specific contents of the research are as follows:For the moving network assisted by MR, the thesis researches the joint resource allocation for high-speed MR. Taking full account of the Doppler frequency offset caused by high-speed movement, the thesis studies about the power and subcarriers joint resource allocation method for MR two links, based on the minimum requirement of users service quality and aimed to minimize power consumption of total system. After decomposing the system model, we use the genetic algorithm and Lagrange dual method to solve the primary problems, and reach the near optimal subcarriers and power allocation. By the comparison with the simulation results of related literature, the proposed method is proved to have better performance.For the moving network assisted by UE-to-Network Relay, the thesis studies the relay discovery model coordination method. Considering the characteristics of UE-to-Network Relay and moving network, three kinds of coordination method are proposed, including model selection, model switch and parameter adjustment. Mode selection method can help user select the best relay discovery model by UE measurements or base station assistance. And in moving network, model switch method is designed as four model switch trigger events, which can help UE switch to the optimum discovery model adaptively. Parameter adjustment method is that UE adjusts the time interval of discovery messages appropriately according its moving state or the measurement results. By .this means,UE can save power assumption while ensuring the discovery efficient. The simulation results prove the proposed relay discovery model coordination method can improve the discovery efficient and resource utilization, and decrease the power consumption of UE.Further, for the moving network assisted by UE-to-Network Relay,the thesis next researches the discontinuous reception (DRX)coordination method. Firstly, the DRX is configured for the link of relay UE and remote UE in UE-to-Network Relay. Secondly, a coordination method is proposed for the reception conflict of the link and cellular downlink. For the scenario that one relay UE connecting with several remote UEs, the thesis puts forward an enhanced DRX method. In the simulation, the results show that DRX can save power consumption of relay UE and remote UE. And due to fully utilize the sleep time of DRX,the proposed coordination method can effectively reduce the reception conflict and improve data rates on the basis of lower energy consumption.At the end of thesis summarizes the full-text content, and discusses the future research direction on basis of the relevant research contents.