Research Article
Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System
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@INPROCEEDINGS{10.1007/978-3-319-72998-5_25, author={Jing Feng and Hui Gao and Taotao Wang and Tiejun Lv and Weibin Guo}, title={Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System}, proceedings={Wireless Internet. 9th International Conference, WICON 2016, Haikou, China, December 19-20, 2016, Proceedings}, proceedings_a={WICON}, year={2018}, month={1}, keywords={MSDD Massive MIMO SISO BP}, doi={10.1007/978-3-319-72998-5_25} }- Jing Feng
Hui Gao
Taotao Wang
Tiejun Lv
Weibin Guo
Year: 2018
Noncoherent Joint Multiple Symbol Differential Detection and Channel Decoding in Massive MIMO System
WICON
Springer
DOI: 10.1007/978-3-319-72998-5_25
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.
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