Traffic-based dynamic spectrum management for inter-cell interference coordination in LTE networks

Next generation cellular networks will provide users better experiences with smaller cells, which results in high dynamics and interferences. Conventional approaches for inter-cell interference coordination (ICIC) are based on fixed frequency reuse, which wastes frequency resources. As a result, the benefit brought by ICIC is suspect in practical networks. In this paper, we tackle this problem by optimizing fractional frequency reuse (FFR) and adapting to dynamic traffic maps. We formulate this problem as a multi-KPIs (Key Performance Indicators) optimization problem and propose a traffic-based dynamic spectrum management (DSM) algorithm to reduce the call drop and block ratio (CDBR), and improve the network throughput as well. Simulation results show that the proposed scheme greatly outperforms the traditional ones.