Research On Resource Allocation And Inter-ference Management In Heterogeneous Cognitive Netvyorks

With the development of wireless network technology and the advancement of4G standardization, wireless Heterogeneous Networks (HetNets) and small cells technologies have attracted much more attention. In recent years, due to the rise of mobile Internet and the advent of big data era, the existing cellular network is far unable to meet the increasing demand for data traffic. And small cells, particularly femtocells, improving both the spectrum efficiency and the energy efficiency, can offload a large amount of data traffic from cellular networks, which will make people have high-speed access to wireless Internet anywhere, anytime. Therefore, the Cognitive Radio (CR) based heterogeneous networks have become the development direction of wireless network communication.This paper first describes the serious interference problems in heterogeneous cognitive networks, and analyzes the TV White Spaces (TVWS) in interference management research. After that, we have investigated the current research on resource allocation and interference management in heterogeneous cognitive networks. Through comprehensive contrast and analysis, and combined with cognitive radio technology, we work out the feasible research direction.In this paper, we proposed location information based power control algorithm in cognitive networks. According to different locations of secondary users, power allocation will be adjusted in real time so that the interference from the secondary users utilizing the TVWS to the licensed users will be minimized.Moreover, in order to solve the interference problem in wireless HetNets that are composed of femtocells and such licensed systems as macrocells, we combined the idea of power allocation with Hungarian algorithm and proposed an interference management scheme that can deal with both the co-tier interference and the cross-tier interference in two-tier networks, which provides a viable direction for interference management in wireless HetNets.In the end, the dissertation summarizes our research ideas and methods of this topic, and points out the potential research about interference management in heterogeneous cognitive networks.