Research And Application On Resource Management For Coopreative Communications

Coopretative comminucation, as key component of next generation of mobile telecommunication systerms, has drawn extensive attention. However, the introduction of coopretative communication also brings new challenge for radio resource management of traditional telecommunication systems. On the other hand, resource management schemes in different communication systerm are not the same. In summary, deliberate design of radio resource management scheme is required.Performances of radio resource management schemes in relay-enhanced LTE-Advanced networks and intelligent transportation systems are discussed the designed in this thesis. New resource management schemes for different telecommunication systems are proposed which can guarantee system efficiency and user fairness at the same time. Moreover, throughput performance and feedback overhead of these schemes are analyzed through system level simulationsFor relay-enhanced LTE-Advanced networks, the backhaul link scheduling of distributed resource allocation for relayenhanced cellular networks is discussed in this thesis. In this part, a queue-status-based resource allocation scheme for the backhaul link in a distributed manner in relay enhanced networks is proposed which can guarantee the rate match between the backhaul and access links while minimizing feedback signaling.For intelligent transportation system, a system level simulation systerm is developed in this part, which involves urban microscopic traffic simulation systerm and cooperative communication system. Then, we propose the use of graph theory to formulate the problem of cooperative communications scheduling in vehicular networks. In lieu of exhaustive search of intractable complexity for the maximum sum rate (MSR), we propose a bipartite graph-based scheduling scheme to allocate the1-hop or2-hop communications. Simulation results indicate that the proposed scheme performs extremely close to the optimal one, and results in better fairness among vehicle users with considerably lower computational complexity. Moreover, cooperative communications can improve both throughput and spectrum effectiveness performance of vehicular networks.