LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications
This paper investigates new cooperative communication strategies based on Low-Density Parity-Check codes (LDPC) with Joint Source-Channel (JSC) coding and decoding algorithms to efficiently deliver a correlated content to a destination node. The proposed strategies rely on double LDPC codes where th...
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| Veröffentlicht in: | Physical Communication Jg. 38; S. 100947 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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Elsevier B.V
01.02.2020
Elsevier BV Elsevier |
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| ISSN: | 1874-4907, 1876-3219 |
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| Abstract | This paper investigates new cooperative communication strategies based on Low-Density Parity-Check codes (LDPC) with Joint Source-Channel (JSC) coding and decoding algorithms to efficiently deliver a correlated content to a destination node. The proposed strategies rely on double LDPC codes where the source and the channel coding are similar to standard LDPC operations, and can be mapped on Tanner graphs for message-passing decoding. Three coding strategies are proposed where different LDPC source and channel coding setups are applied at the source node and the relay node. For each transmission strategy, we propose a graph mapping the whole network, over which iterative message-passing decoding is applied, and where the probability of errors in the source–relay link are taken into account. We showed, based on computer simulations, that the proposed strategies can provide substantial improvements compared to equivalent rates point-to-point systems. Simulation results also showed that the system performance depends on the relay position, and that adapting the source and the relay channel coding rates accordingly can enhance the overall system performance for a time-varying network. |
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| AbstractList | This paper investigates new cooperative communication strategies based on Low-Density Parity-Check codes (LDPC) with Joint Source-Channel (JSC) coding and decoding algorithms to efficiently deliver a correlated content to a destination node. The proposed strategies rely on double LDPC codes where the source and the channel coding are similar to standard LDPC operations, and can be mapped on Tanner graphs for message-passing decoding. Three coding strategies are proposed where different LDPC source and channel coding setups are applied at the source node and the relay node. For each transmission strategy, we propose a graph mapping the whole network, over which iterative message-passing decoding is applied, and where the probability of errors in the source–relay link are taken into account. We showed, based on computer simulations, that the proposed strategies can provide substantial improvements compared to equivalent rates point-to-point systems. Simulation results also showed that the system performance depends on the relay position, and that adapting the source and the relay channel coding rates accordingly can enhance the overall system performance for a time-varying network. |
| ArticleNumber | 100947 |
| Author | Matsumoto, Tadashi Zribi, Amin Bouallègue, Ammar Ben Abdessalem, Marwa Dupraz, Elsa |
| Author_xml | – sequence: 1 givenname: Marwa surname: Ben Abdessalem fullname: Ben Abdessalem, Marwa email: marwa.benabdessalem@enit.utm.tn organization: University of Tunis El Manar, National Engineering School of Tunis, SysCom laboratory, BP 37, Le Belvedere, 1002, Tunis, Tunisia – sequence: 2 givenname: Amin surname: Zribi fullname: Zribi, Amin email: amin.zribi@isetcom.tn organization: University of Tunis El Manar, National Engineering School of Tunis, SysCom laboratory, BP 37, Le Belvedere, 1002, Tunis, Tunisia – sequence: 3 givenname: Tadashi surname: Matsumoto fullname: Matsumoto, Tadashi email: matumoto@jaist.ac.jp organization: Japan Advanced Institute of Science and Technology, 1-1 Asahidai, Nomi, Ishikawa, Japan – sequence: 4 givenname: Elsa surname: Dupraz fullname: Dupraz, Elsa email: elsa.dupraz@imt-atlantique.fr organization: IMT Atlantique, Lab-STICC, UBL, 29238 Brest, France – sequence: 5 givenname: Ammar surname: Bouallègue fullname: Bouallègue, Ammar email: ammarbouallegue.syscom@gmail.com organization: University of Tunis El Manar, National Engineering School of Tunis, SysCom laboratory, BP 37, Le Belvedere, 1002, Tunis, Tunisia |
| BackLink | https://cir.nii.ac.jp/crid/1873398392628246528$$DView record in CiNii https://imt-atlantique.hal.science/hal-02436786$$DView record in HAL |
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| CitedBy_id | crossref_primary_10_3390_s21165461 crossref_primary_10_1080_00051144_2022_2084588 crossref_primary_10_1117_1_OE_62_3_038101 crossref_primary_10_1016_j_compeleceng_2021_107377 crossref_primary_10_1145_3502208 crossref_primary_10_1007_s11277_021_08075_1 crossref_primary_10_1007_s11831_020_09466_6 crossref_primary_10_1109_ACCESS_2023_3238795 |
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| Contributor | Lab-STICC_IMTA_CACS_COM ; Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance (Lab-STICC) ; École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) ; Institut Mines-Télécom [Paris] (IMT)-École Nationale d'Ingénieurs de Brest (ENIB)-Université de Bretagne Sud (UBS)-Université de Brest (UBO)-École Nationale Supérieure de Techniques Avancées Bretagne (ENSTA Bretagne)-Institut Mines-Télécom [Paris] (IMT)-Centre National de la Recherche Scientifique (CNRS)-Université Bretagne Loire (UBL)-IMT Atlantique (IMT Atlantique) ; Institut Mines-Télécom [Paris] (IMT) IMT Atlantique (IMT Atlantique) National Engineering School of Tunis = Ecole Nationale d'Ingénieurs de Tunis [Universit |
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| Copyright | 2019 Elsevier B.V. Distributed under a Creative Commons Attribution 4.0 International License |
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| Keywords | Joint Source Channel coding/decoding Cooperative communication LDPC codes Source Channel Coding Strategies |
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| Title | LDPC-based Joint Source Channel Coding and Decoding Strategies for single relay cooperative communications |
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