Zobrazeno 1 - 10
of 2 001
pro vyhledávání: '"A. Aoudia"'
Autor:
Wiesmayr, Reinhard, Cammerer, Sebastian, Aoudia, Fayçal Aït, Hoydis, Jakob, Zakrzewski, Jakub, Keller, Alexander
We detail the steps required to deploy a multi-user multiple-input multiple-output (MU-MIMO) neural receiver (NRX) in an actual cellular communication system. This raises several exciting research challenges, including the need for real-time inferenc
Externí odkaz:
http://arxiv.org/abs/2409.02912
Autor:
Cammerer, Sebastian, Aoudia, Fayçal Aït, Hoydis, Jakob, Oeldemann, Andreas, Roessler, Andreas, Mayer, Timo, Keller, Alexander
We introduce a neural network (NN)-based multiuser multiple-input multiple-output (MU-MIMO) receiver with 5G New Radio (5G NR) physical uplink shared channel (PUSCH) compatibility. The NN architecture is based on convolution layers to exploit the tim
Externí odkaz:
http://arxiv.org/abs/2312.02601
Autor:
Hoydis, Jakob, Aoudia, Fayçal Aït, Cammerer, Sebastian, Nimier-David, Merlin, Binder, Nikolaus, Marcus, Guillermo, Keller, Alexander
Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. Since release v0.14 it integrates a differentiable ray tracer (RT) for the simulation of radio wave propagation. This unique feature allows for the comput
Externí odkaz:
http://arxiv.org/abs/2303.11103
Publikováno v:
Scientific Reports, Vol 9, Iss 1, Pp 1-1 (2019)
An amendment to this paper has been published and can be accessed via a link at the top of the paper
Externí odkaz:
https://doaj.org/article/6bd6b64b616d45089d8158ebc8c8f752
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The present power generation corporations are working on Renewable Power Systems (RPS) for supplying electrical power to the automotive power industries. There are several categories of RPSs available in the atmosphere. Among all of the RPSs
Externí odkaz:
https://doaj.org/article/d5641d49bb6140b99851f2eff44175ab
Autor:
Ezzeddine Touti, Shaik Rafikiran, Mouloud Aoudia, Ibrahim Mohammed Alrougy, Baseem Khan, Ahmed Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-18 (2024)
Abstract The present power generation government companies focus on Renewable Power Sources (RPS) because their features are zero carbon footprint, unlimited power source, fewer greenhouse pollutants, fewer output wastages, plus creatinga very health
Externí odkaz:
https://doaj.org/article/7cc99f81947c45dd9cc4248ed22fdb9e
In this work, we propose a fully differentiable graph neural network (GNN)-based architecture for channel decoding and showcase a competitive decoding performance for various coding schemes, such as low-density parity-check (LDPC) and BCH codes. The
Externí odkaz:
http://arxiv.org/abs/2207.14742
Autor:
Aoudia, Fayçal Aït, Hoydis, Jakob, Cammerer, Sebastian, Van Keirsbilck, Matthijs, Keller, Alexander
We propose a neural network (NN)-based algorithm for device detection and time of arrival (ToA) and carrier frequency offset (CFO) estimation for the narrowband physical random-access channel (NPRACH) of narrowband internet of things (NB-IoT). The in
Externí odkaz:
http://arxiv.org/abs/2205.10805
Autor:
Hoydis, Jakob, Cammerer, Sebastian, Aoudia, Fayçal Ait, Vem, Avinash, Binder, Nikolaus, Marcus, Guillermo, Keller, Alexander
Sionna is a GPU-accelerated open-source library for link-level simulations based on TensorFlow. It enables the rapid prototyping of complex communication system architectures and provides native support for the integration of neural networks. Sionna
Externí odkaz:
http://arxiv.org/abs/2203.11854
Publikováno v:
In Desalination and Water Treatment October 2024 320