An Efficient Signal Detection Technique for Uplink Massive MIMO-OFDM System over Frequency Selective Channel

Signal detection in massive multiple-input multiple-output (m-MIMO) is a challenging task due to high computational complexity. Although, the minimum mean square error (MMSE) method is a popular signal detection, however it involves matrix inversion with complexity of cubic order. Therefore, several linear signal detection methods were developed such as Gauss-Seidel, successive over relaxation, Jacobi method, and Richardson methods to provide a trade-off between performance and complexity. These methods are developed for flat fading scenario, however in practice, the channel is frequency selective rather flat fading. In this paper, we have proposed an efficient signal detection technique based on iterative parallel multistage detection with decision statistics combiner (IPMD-DSC) for uplink m-MIMO-orthogonal frequency division multiplexing (m-MIMO-OFDM) system over frequency selective channel. Finally, the proposed method is compared with several convention methods with respect to bit error rate (BER) and complexity. Simulation results demonstrate that the proposed method outperforms the MMSE method with lower complexity.