An Effective Scheduling Algorithm for MIMO Systems in Long Term Evolution Networks

Background: Long Term Evolution (LTE) represents an emerging and competent innovation for giving an internet access. LTE standard paves way towards the fourth generation networks, which is intended to deliver high speed data as well as multimedia services. Statistical Analysis: In LTE system Radio Resource Management (RRM) plays a very crucial role in managing limited radio resources to enhance the data rate. The paper focuses in addressing the challenges in downlink scheduling and provides a solution for the users to achieve higher spectral efficiency and throughput. In LTE systems’ fading of a channel is a serious issue for signal degradation and the fading effect is minimized by a choice of time and space domain techniques. The overall performance of the algorithms is calculated in terms of the throughput and SNR where the resource distribution is analyzed and evaluated for every individual user %. Findings: Hence a novel scheduling algorithm is developed for Multiple Input Multiple Output (MIMO) systems, where as Alamouti scheme is used to reduce fading, for utilization of channel effectively and also transmit diversity is achieved without increase in bandwidth in LTE systems. The simulation results demonstrate that the developed scheduling algorithm provides effective throughput and fairness compared to some of the existing scheduling algorithms in LTE networks.