Cognitive-based distributed interference management for home-eNB systems with single or multiple antennas

In order to overcome the indoor coverage problem for residential users, the deployment of home base stations (also referred as home-eNB) has been regarded as a promising solution. However, the unpredictable deployment pattern of home-eNBs makes centralized network planning impractical and requires distributed spectrum planning to achieve effective interference management. In this paper, by enabling adjacent home-eNBs to share the measured pathloss information, we present a cognitive-based distributed interference management strategy in which each home-eNB selects component carriers based on the estimated mutual interference impact. In particular, practical estimations of mutual interference impact are derived firstly for single-antenna systems. More importantly, the methodology is further extended to multi-antenna systems via analyzing post-processing signal-to-interference ratio (SIR). System-level simulation results demonstrate that the presented scheme can effectively avoid spectrum collision and significantly improve network throughput for home-eNB systems with either single-antenna or multi-antenna configuration.