A coloring-based cluster resource allocation for ultra dense network

Ultra dense network (UDN) technology will certainly be the key to the future development of the fifth Generation (5G) mobile communication. In order to improve spectral efficiency and coordinate the downlink interference for UDN, a coloring-based cluster resource allocation (CCRA) algorithm based on the graph theory is proposed and simulated in the article. In this paper, a large-scale phantom network is considered which can largely separate control-plane and user-plane. It is effective to utilize macro eNodeBs control to allocate resources to users, and phantom nodes to transmit user data in the large-scale phantom cell. Simulation results suggest that the proposed approach not only fits in the user-oriented networks but also guarantees a better throughput and improves the spectrum efficiency in densely deployed phantom cells.