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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 talk. Such detection and decoding algorithms are represented thanks to a larger Joint Factor Graph (JFG). 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 similar performance than a full-complexity iterative MIMO receiver.
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Dates et versions

hal-01170374 , version 1 (01-07-2015)

Identifiants

  • HAL Id : hal-01170374 , version 1

Citer

Ali Haroun, Charbel Abdel Nour, Matthieu Arzel, Christophe Jego. Low-Complexity LDPC-coded Iterative MIMO Receiver Based on Belief Propagation algorithm for Detection. GDR SoCSiP-ISIS 2014 : journée thématique Architectures de Codes Correcteurs d'Erreurs, Nov 2014, Plouzané, France. ⟨hal-01170374⟩
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