A small cell deployment strategy towards amorphous coverage in the cellular network

Recently, amorphous cells emerge as a promising paradigm in cellular networks to support bursty traffic caused by the user mobility, where dense small cells can cooperate on data delivery to mobile users thus implementing coverage without definite cell shape. In this paper, we propose a novel small cell deployment scheme, aiming at optimizing the network throughput over varying distributions of users' locations. Unlike the traditional research simply assuming one specific distribution of users' locations, our work could deal with the more realistic scenario, where the statistical information of users' locations might change across different time periods. In order to tackle this issue, we formulate the throughput maximization problem over multiple user-location distributions. Then, by applying the simulated annealing algorithm, we develop an iterative location deployment updating algorithm to solve for the efficient deployment as well as cooperation and resource allocation among small cells. Simulation results show that our proposed strategy can effectively improve the system average throughput, cell-edge user throughput, and user fairness as compared to the traditional approach.