1. A novel JFG detection-decoding approach of a vertical shuffle scheduling for iterative MIMO receivers with NB-LDPC codes.
- Author
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Haroun, Ali, Al-Ghouwayel, Ali Chamas, Hijazi, Hussein, and Jego, Christophe
- Subjects
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DECODING algorithms , *MAXIMUM likelihood detection , *TRANSMITTERS (Communication) , *TELECOMMUNICATION systems , *DIGITAL communications , *MIMO systems , *ALGORITHMS , *EUCLIDEAN distance - Abstract
• Multiple-Input Multiple-Output (MIMO) is a wireless technology that uses multiple transmitters and receivers to transfer more data at the same time. • A high performance belief propagation detection-decoding algorithm for NB-LDPC MIMO codes with a low complexity approach. • Vertical Shuffle Schedule (VSS) reduces processing latency and therefore introduces greater flexibility into the receiver. • A dynamic approach can detect the closest point to the channel observation without calculating all the candidate symbols in a constellation. MIMO systems exploit multi-path propagation in a rich broadcast environment to improve throughput and performance of digital communication systems. The correspondent demappers require additional computational complexity. In this paper, a new detection-decoding approach based on vertical shuffle scheduling is proposed. Space exploration for the maximum likelihood detection is reduced to a dynamic region that surrounds the received symbol. Thus, a dynamic approach is proposed to detect the closest point of the channel observation without calculating all the candidate symbols in a constellation. In addition, a novel method based on EXIT chart study is proposed to find the sufficient number of neighboring points to search around a local minimum and then compute by recursion their Euclidean distances. Compared to the conventional Maximum Likelihood detector, the proposed algorithm allows a reduction in the computational complexity, in terms of number of multiplication, reaching 98%. The simulation results show that the proposed algorithm outperforms the state-of-the-art algorithms like MMSE, sphere decoding, DBTC and DaVinci codes. [ABSTRACT FROM AUTHOR]
- Published
- 2022
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