Adaptive beamforming for OFDMA using positioning information

In this paper a downlink location based adaptive beamforming algorithm (LBA) for OFDMA network is proposed. Conventional beamforming algorithms use SINR for determining the weights vector, whereas the proposed LBA profits from available positioning information, which reduces the convergence time of the weights vector determination. From the simulation results we see that a location-based algorithm reduces significantly the amount of necessary iterations in order to achieve the appropriate weights vector that maximizes SINR at a specific mobile terminal (MT). Ultimately this reduction has a clear impact on the overall performance of a cellular communication system.