Abstract:
In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The p...Show MoreMetadata
Abstract:
In this paper, we propose a complexity reduced soft interference cancellation minimum mean squared error (SIC-MMSE) detection scheme for coded massive MIMO systems. The presented method works efficiently when the channel matrix becomes asymptotically orthogonal with a sufficiently large number of receive antennas at the base station. With such a characteristic, the conventional SIC-MMSE detection method can be simplified to a layer independent matrix inversion process, and further complexity reduction is achieved by introducing the Neumann series expansion (NSE) method. The simulation results investigated in this paper reveal that the proposed method can efficiently reduce the complexity without appreciable performance degradation.
Published in: 2018 International Conference on Information and Communication Technology Convergence (ICTC)
Date of Conference: 17-19 October 2018
Date Added to IEEE Xplore: 18 November 2018
ISBN Information:
Print on Demand(PoD) ISSN: 2162-1233