Beamforming Based Algorithm for 5G Applications

Abstract In cellular networks, the performance of the adaptive beamforming algorithms is severely degraded by the presence of the interfering signals. In this paper, we introduce a beamforming based algorithm for 5G applications named Direction Finding for Beamforming and Synthesizing (DFBS). This algorithm combines the Direction of Arrival (DOA), adaptive beamforming, and the radiation pattern synthesizing. The proposed algorithm uses the DOA technique to feed the adaptive beamforming algorithms with estimations of the desired user direction, desired user signal, and the interfering signals with their directions as initial values. In addition, we use the adaptive beamforming process to supply the radiation pattern synthesizing algorithms with an initial radiation pattern, and the required positions of nulls. At the beamformer output, we evaluate our proposed mechanism in terms of the error convergence, tracking capabilities, and the obtained radiation pattern characteristics. At the synthesizer output, we carry out analysis in terms of the convergence speed and the resultant radiation pattern attributes to investigate the efficiency of the proposed algorithm. The simulation results show that, our proposed algorithm has significantly fast convergence, reliable tracking capabilities, and radiation patterns with very low Side Lobe Levels (SLL).2010 MSC: 00-01, 99-00