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Communication Dans Un Congrès Année : 2014

Low-Complexity LDPC-coded Iterative MIMO Receiver Based on Belief Propagation algorithm for Detection

Résumé

A low-complexity Multiple Input Multiple Output receiver based on Belief Propagation (MIMO-BP) detector associated with a Non-Binary Low Density Parity Check (NB-LDPC) decoder is proposed in this paper. Such detection and decoding algorithms are represented thanks to a larger Joint Factor Graph. Shuffle schedule is also applied to efficiently exchange information between the detector and the decoder. Actions are undertaken at the detector, decoder and the iterative receiver levels in order to reduce overall computational complexity. An important reduction in terms of operations per iteration is obtained with a negligible performance penalty. Then, EXtrinsic Information Transfer (EXIT) charts are used to find a schedule in terms of number of iterations to be performed for which the proposed receiver achieves error correction performance similar to that of a full-complexity iterative MIMO receiver.
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Dates et versions

hal-01170240 , version 1 (01-07-2015)

Identifiants

Citer

Ali Haroun, Charbel Abdel Nour, Matthieu Arzel, Christophe Jego. Low-Complexity LDPC-coded Iterative MIMO Receiver Based on Belief Propagation algorithm for Detection. ISTC 2014 : 8th International Symposium on Turbo Codes and Iterative Information Processing, Aug 2014, Bremen, Germany. pp.213 - 217, ⟨10.1109/ISTC.2014.6955116⟩. ⟨hal-01170240⟩
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