Abstract

In this paper, the performance of LTE-A downlink physical layer with MIMO detection techniques is presented. We propose a scalable and near optimum OSIC-based K-Best algorithm with higher performance. The proposed OSIC-based K-Best algorithm is characterized by low complexity by dividing a large MIMO detection problem into small sub-problems. The proposed algorithm is divided into several basic building blocks with small dimension to reduce complexity. This algorithm utilizes the K-Best algorithm for first data stream with high SINR, and then applies an OSIC-MMSE to detect the other data streams. This paper investigates the performance of the proposed algorithm and compares its performance with the other algorithms. The performance of the proposed algorithm is mathematically illustrated and evaluated by calculating the BER for a certain range of SNRs with different antennas cases. Simulation results show that the proposed algorithm provides a better performance and gives low BER values. Finally, the OSIC-based K-Best algorithm enhances the performance of the LTE-A downlink physical layer.

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