most citedOn Deep Learning-Based Channel Decoding

47 citations

6 papers

cs.NI2017

Semi-Distributed Demand Response Solutions for Smart Homes

Rim Kaddah, Daniel Kofman, Fabien Mathieu +1

The Internet of Things (IoT) paradigm brings an opportunity for advanced Demand Response (DR) solutions. It enables visibility and control on the various appliances that may consum…

cs.IT20172 cited

Probabilistic Shaping and Non-Binary Codes

Joseph J. Boutros, Fanny Jardel, Cyril Méasson

We generalize probabilistic amplitude shaping (PAS) with binary codes to the case of non-binary codes defined over prime finite fields. Firstly, we introduce probabilistic shaping…

cs.IT201747 cited

On Deep Learning-Based Channel Decoding

Tobias Gruber, Sebastian Cammerer, Jakob Hoydis +1

We revisit the idea of using deep neural networks for one-shot decoding of random and structured codes, such as polar codes. Although it is possible to achieve maximum a posteriori…

cs.IT20162 cited

Pilot Contamination is Not a Fundamental Asymptotic Limitation in Massive MIMO

Emil Björnson, Jakob Hoydis, Luca Sanguinetti

Massive MIMO (multiple-input multiple-output) provides great improvements in spectral efficiency over legacy cellular networks, by coherent combining of the signals over a large an…

cs.IT2016

On locality of Generalized Reed-Muller codes over the broadcast erasure channel

Amira Alloum, Sian-Jheng Lin, Tareq Y. Al-Naffouri

One to Many communications are expected to be among the killer applications for the currently discussed 5G standard. The usage of coding mechanisms is impacting broadcasting standa…

cs.GT2016

Advertising Competitions in Social Networks

Antonia Masucci, Alonso Silva

In the present work, we study the advertising competition of several marketing campaigns who need to determine how many resources to allocate to potential customers to advertise th…