Abstract
A noncoherent joint multiple symbol differential detection (MSDD) and channel decoding framework is proposed for massive multiple-input multiple-output (M-MIMO) system. The proposed framework bears the potential to solve the high channel estimation overhead for conventional coherent M-MIMO systems. Employing the autocorrelation receiver (AcR) and the belief propagation (BP) message passing algorithm, the proposed soft-input soft-output (SISO) MSDD can be easily integrated with advanced channel coding. Simulation results show that the BER performance can be significantly improved within a few iterations of the proposed scheme.
This work was supported by the National Natural Science Foundation of China under Grants 61401041, 61271188 and 61671072, and by the Meteorological Information and Signal Processing Key Laboratory of Sichuan Higher Education (QXXCSYS201601).
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Feng, J., Gao, H., Wang, T., Lv, T., Guo, W. (2018). Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System. In: Huang, M., Zhang, Y., Jing, W., Mehmood, A. (eds) Wireless Internet. WICON 2016. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-319-72998-5_25
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