Research On Resource Allocation Algorithm And Network Performance In D2D Communication Of Underlay Mode

Device-to-Device (D2D) communication can effectively reduce the burden of the base station, improve the performance of users at the edge of cells, and which underlays the cellular networks to improve the spectral efficiency. In addition, the full-duplex technology as an important mean enhances the network performance in the future cellular networks. Therefore, the hybrid network system which introduces D2D communication and full-duplex has attracted widespread attention.However, there are many wireless resource management problems to be improved and to be solved in this hybrid network.In the thesis, we mainly explore the research on the hybrid network which introduces D2D communication and full-duplex technology, and focus on solving the problem of resource allocation in this hybrid networks.Firstly, we mainly analyze and research the D2D communication networks and full-duplex networks. For the D2D communication networks, we can focus on the research of D2D and cellular hybrid network. In addition, we mainly analyze and research the full-duplex relay network and the full-duplex cellular network for the full-duplex networks.Secondly, we propose the D2D and cognitive full-duplex relay hybrid network, combined with the characteristics of the new hybrid network,an effective power optimization scheme need be designed, which focuses on optimizing the performance of the D2D communication link,and further optimize the performance of the entire hybrid network system in the case of the normal communication of the cognitive full-duplex relay link and the interference of the secondary network to the primary network is effectively controlled.Thirdly, we analyze and research the D2D and full-duplex cellular hybrid network. For the complex interference between the users in this hybrid network, based on the greedy algorithm, the interference limited area algorithm and Stackelberg game model, we propose a joint power and spectrum optimized allocation scheme to optimize the resource allocation in this hybrid network, and thus effectively manage the interference between users.Finally, summary the thesis and make the future research plan.