Adaptive beamforming for OFDMA using positioning information

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