Topology adaptation and interference management in dense heterogeneous networks

We study topology adaptation, interference management, and cross-tier load balancing/shifting in densely deployed heterogenous networks (HetNets). A novel HetNet model is proposed, which considers dynamic traffic and interference. Long term average performance metrics, such as user throughput and base station utilization ratio, are used to evaluate the performance of the network. Due to lack of closed form representation, the proposed topology adaptation scheme focus on improving user experience, system stability and energy saving by adjusting the topology of the network on different system levels. A distributed algorithm is proposed to mitigate interference and adapt network topology. Topology adaptation is achieved by deciding the user assignment and pico base station on/off status. Numerical results suggest the proposed algorithm provides significant performance gains in user throughput, system stability, and energy saving.