Graduate School and Research Center in Digital Sciences

Neural network aided decoding for physical-layer network coding random access

Pastore, Adriano; de Kerret, Paul; Navarro, Monica; Gregoratti, David; Gesbert, David

SPAWC 2018, 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 25-28 June 2018, Kalamata, Greece

Hinging on ideas from physical-layer network coding, some promising proposals of coded random access systems seek to improve system performance (while preserving low complexity) by means of packet repetitions and decoding of linear combinations of colliding packets, whenever the decoding of individual packets fails. The resulting linear combinations are then temporarily stored in the hope of gathering enough linearly independent combinations so as to eventually recover all individual packets through the resolution of a linear system at the end of the contention frame. However, it is unclear which among the numerous linear combinations--whose number grows exponentially with the degree of collision--will have low probability of decoding error. Since no analytical framework exists to determine which combinations are easiest to decode, this makes the case for a machine learning algorithm to assist the receiver in deciding which linear combinations to target. For this purpose, we train neural networks that approximate the error probability for every possible linear combination based on the estimated channel gains and demonstrate the effectiveness of our approach by numerical simulations. 

Document Doi Arxiv Bibtex

Title:Neural network aided decoding for physical-layer network coding random access
Type:Invited paper in a conference
Language:English
City:Kalamata
Country:GREECE
Date:
Department:Communication systems
Eurecom ref:5568
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Bibtex: @inproceedings{EURECOM+5568, doi = {http://dx.doi.org/10.1109/SPAWC.2018.8446014}, year = {2018}, title = {{N}eural network aided decoding for physical-layer network coding random access}, author = {{P}astore, {A}driano and de {K}erret, {P}aul and {N}avarro, {M}onica and {G}regoratti, {D}avid and {G}esbert, {D}avid}, booktitle = {{SPAWC} 2018, 19th {IEEE} {I}nternational {W}orkshop on {S}ignal {P}rocessing {A}dvances in {W}ireless {C}ommunications, 25-28 {J}une 2018, {K}alamata, {G}reece}, address = {{K}alamata, {GREECE}}, month = {05}, url = {http://www.eurecom.fr/publication/5568} }
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