54 citations · 55 across the 6 of their papers we have counts for
6 papers · 1 filter
Leveraging Code Automorphisms for Improved Syndrome-Based Neural Decoding
Raphaël Le Bidan, Ahmad Ismail, Elsa Dupraz +1
Syndrome-based neural decoding (SBND) has emerged as a promising deep learning approach for soft-decision decoding of high-rate, short-length codes. However, this approach still ha…
Learning Variable Node Selection for Improved Multi-Round Belief Propagation Decoding
Ahmad Ismail, Raphaël Le Bidan, Elsa Dupraz +1
Error correction at short blocklengths remains a challenge for low-density parity-check (LDPC) codes, as belief propagation (BP) decoding is suboptimal compared to maximum-likeliho…
Doing More With Less: Towards More Data-Efficient Syndrome-Based Neural Decoders
Ahmad Ismail, Raphaël Le Bidan, Elsa Dupraz +1
While significant research efforts have been directed toward developing more capable neural decoding architectures, comparatively little attention has been paid to the quality of t…
Optimal Resource Allocation for Full-Duplex IoT Systems Underlaying Cellular Networks with Mutual SIC NOMA
Antoine Kilzi, Joumana Farah, Charbel Abdel Nour +1
Device-to-device (D2D) and non-orthogonal multiple access (NOMA) are promising technologies to meet the challenges of the next generations of mobile communications in terms of netw…
Design of Low-Complexity Convolutional Codes over GF(q)
Rami Klaimi, Charbel Abdel Nour, Catherine Douillard +1
This paper proposes a new family of recursive systematic convolutional codes, defined in the non-binary domain over different Galois fields GF(q) and intended to be used as compone…
Design and Evaluation of a Novel Short Prototype Filter for FBMC/OQAM Modulation
Jeremy Nadal, Charbel Abdel Nour, Amer Baghdadi
Filter-Bank Multi-Carrier with Offset Quadrature Amplitude Modulation (FBMC/OQAM) is considered by recent research projects as one of the key enablers for the future 5G air interfa…