Adaptive beam selection algorithm based on opportunistic beamforming

This paper studies the feedback policies for opportunistic beamforming (OBF) to reduce the amount of information feeding back and select the best users. First, the feedback threshold is set up in the user terminal on the fundamental of reducing throughput of OBF. Then, only the user whose received SINR is greater than the threshold will feed back. At last, the best user and best transmitting beams are selected by the base station (BS). Simulations are carried out in fast fading channels. Results show that threshold feedback policy can select the best users and beams, improve the throughput, reduce the feedbacks.