59 citations · 68 across the 5 of their papers we have counts for
6 papers · 1 filter
Neural network approaches to point lattice decoding
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We characterize the complexity of the lattice decoding problem from a neural network perspective. The notion of Voronoi-reduced basis is introduced to restrict the space of solutio…
On the decoding of lattices constructed via a single parity check
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
This paper investigates the decoding of a remarkable set of lattices: We treat in a unified framework the Leech lattice in dimension 24, the Nebe lattice in dimension 72, and the B…
On the decoding of Barnes-Wall lattices
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
We present new efficient recursive decoders for the Barnes-Wall lattices based on their squaring construction. The analysis of the new decoders reveals a quasi-quadratic complexity…
Multilevel MIMO Detection with Deep Learning
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
A quasi-static flat multiple-antenna channel is considered. We show how real multilevel modulation symbols can be detected via deep neural networks. A multi-plateau sigmoid functio…
Neural Lattice Decoders
Vincent Corlay, Joseph J. Boutros, Philippe Ciblat +1
Lattice decoders constructed with neural networks are presented. Firstly, we show how the fundamental parallelotope is used as a compact set for the approximation by a neural latti…
Space-time coding techniques with bit-interleaved coded modulations for MIMO block-fading channels
Nicolas Gresset, Loic Brunel, Joseph Boutros
The space-time bit-interleaved coded modulation (ST-BICM) is an efficient technique to obtain high diversity and coding gain on a block-fading MIMO channel. Its maximum-likelihood…