Adaptive Micro Base Station Selection Algorithm with Limited Feedback for User - Centric Distributed Millimeter-Wave Cell

In order to ensure the quality of service of the communication link, the user equipment(UE) can connect with one or more micro base stations(MBSs) in the user-centric millimeter-wave distributed cell. How to select the optimal MBSs to communicate with UE is a problem according to the channel environment. Based on the limited feedback beamforming technique of random vector quantization (RVQ) codebook, this paper derives the expression that maximizes the average effective signal-to-noise ratio (ESNR), proposing an adaptive micro base station selection algorithm (AMBSS ) and verifying its validity. The algorithm canadaptively select MBSs to communicate with UE based on the user's location, maximizing ESNR. The simulation results show that the performance of the algorithm is better than that of the fixed number of MBSs with obtaining more than 2dB in gain, reaching the optimal performance in the case of a fixed number of feedback bits.