Cooperative beamforming algorithms using the assistant information from satellite navigation positioning systems

The application of beamforming in cooperative communication systems can expand the coverage and increase the SNR of the receiver. The conventional beamforming algorithms need full or half knowledge of channel state information(CSI), and get optimal beamforming matrices by complex matrix decomposition algorithms. So, this paper proposes a cooperative beamforming algorithm called the SIA-CBF, based on satellite navigation positioning information, without the CSI. The proposed scheme, with the satellite navigation information assistance, chooses the optimal codebook vector from the fixed codebook as the beamforming matrix. Certainly, the vector should have the maximum correlation with the direction of arrival of signal. Simulation results demonstrate that when the BER is 10-4, the performance gain is more than 1.5 dB, and meanwhile, computational complexity is significantly decreased.