Optimum scheduling based on beamforming for the fifth generation of mobile communication systems

In this paper, we present a novel approach for using the smart antennas (SA) to exploit the space diversity for the next generations of mobile communication systems. We propose a combination of the MUltiple SIgnal Classification (MUSIC) and the Least Mean Squares (LMS) algorithms in one algorithm named MLMS. We propose the MUSIC algorithm for finding the direction of the users in the cell while we consider the LMS algorithm for enhancing the accuracy of the obtained Direction of Arrival (DOA) angles, performing the beam generation process, and keep tracking of the users in the cell. Furthermore, we propose a scheduling algorithm that performs the scheduling in terms of the generated beams. The space diversity, together with the time and frequency diversities of LTE (Long Term Evaluation) provide a large capacity enhancement to the next generations of wireless mobile communication systems. Our simulation results show that our novel approach has the capability to converge and completely follow the desired user signal with a very high resolution. The convergence and the accurate tracking of the desired user signal take place after 13 iterations while in the traditional LMS, the convergence needs 85 iterations to take place. This means 84.7% improvement over the traditional LMS algorithm for the same number of calculations in each iteration. In addition, our proposed scheduling scheme based on beamforming shows a gain of around 15% in the total aggregated data rate for each 10° decrease in the beam size.