Distributed beam selection algorithm based on multi-cell cooperative

Multicell cooperative beam selection was studied to reduce inter-cell interference in multiple antenna cellular systems. A distributed beam selection algorithm was proposed, which can be independently implemented in each cell. The proposed algorithm assumes that the channel state information of users is exchanged between cells. Then each cell estimates the signal-to-interference-noise ratio SINR of all users based on channel state information of both its own user and the users in other cells and selects the beam which can maximize product of the estimated SINR of all users. The performance and complexity of the proposed algorithm was analyzed. The analysis results show that the proposed algorithm can achieve near optimal performance under the two-cell model, with much lower complexity than that of the optimal algorithm. The simulation results show that the average rate of multiple antenna cellular systems can be significantly increased by utilizing the proposed algorithm, without compromising user fairness.