A novel interference management framework for limited base-station cooperation system

Base station cooperation is a promising technique to address the serious co-channel interference issue, but dramatic signaling overhead and high computational complexity are inherent in this advanced coordination technology. Limited form of cooperation among base stations becomes an practical method to deploy this multiple cell processing in a realistic network. After analyzing the multi-cell sum rate maximum problem subjected to cluster size and per base station transmission power, a heuristic clustering algorithm is proposed in this paper to facilitate the cluster formation to adapt to the dynamic interference condition in cellular network. Distributed beamforming is further applied among those transmitters in the same cluster. Both of these two interference management strategies are built on the concept of transmitter´s leakage channel. According to this interference generating channel state information, each transmitter locally and independently calculates the leakage power to receivers in neighboring cells, and this information is utilized to design the heuristic search utility function and the distributive beamforming vector. Through simulation it is observed that the proposed framework leads to significant gain over static clustering policy and harvests majority of performance gain improved by optimal clustering scheme at less complexity cost.