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Brain network classification based on dynamic graph attention information bottleneck
Abstract Background and Objectives Graph neural networks (GNN) have demonstrated
remarkable encoding capabilities in the context of brain network classification tasks. They …
remarkable encoding capabilities in the context of brain network classification tasks. They …
Beam SNR prediction using channel charting
We consider a machine learning approach for beam handover in mmWave 5G New Radio
systems, in which User Equipments (UEs) perform autonomous beam selection, conditioned …
systems, in which User Equipments (UEs) perform autonomous beam selection, conditioned …
Channel charting: An Euclidean distance matrix completion perspective
Channel charting (CC) is an emerging machine learning framework that aims at learning
lower-dimensional representations of the radio geometry from collected channel state …
lower-dimensional representations of the radio geometry from collected channel state …
Evaluation of the spatial consistency feature in the 3GPP geometry-based stochastic channel model
Spatial consistency, meaning the spatial correlation of small scale fading, is a recently
added feature in the geometry-based stochastic channel model used by 3rd Generation …
added feature in the geometry-based stochastic channel model used by 3rd Generation …
A framework for radio resource allocation and SDMA grou** in massive MIMO systems
This work proposes a framework for multiuser massive Multiple Input Multiple Output (MIMO)
systems which is composed of three parts-clustering, grou**, and scheduling-and aims at …
systems which is composed of three parts-clustering, grou**, and scheduling-and aims at …
On optimal scheduling for joint spatial division and multiplexing approach in FDD massive MIMO
Massive multiple-input and multiple-output is widely considered as a key enabler of the next
generation 5G networks. With a large number of antennas at the base station, both spectral …
generation 5G networks. With a large number of antennas at the base station, both spectral …
Exploiting the massive MIMO channel structural properties for minimization of channel estimation error and training overhead
Exploiting massive multiple-input-multiple-output (MIMO) gains come at the expense of
obtaining accurate channel estimates at the base station. However, conventional channel …
obtaining accurate channel estimates at the base station. However, conventional channel …
L'amélioration des performances des systèmes sans fil 5G par groupements adaptatifs des utilisateurs
SE Hajri - 2018 - theses.hal.science
5G est prévu pour s' attaquer, en plus d'une augmentation considérable du volume de trafic,
la tâche de connecter des milliards d'appareils avec des exigences de service hétérogènes …
la tâche de connecter des milliards d'appareils avec des exigences de service hétérogènes …
Channel Charting for Beam Management in Sub-THz Systems
Sub-THz communication is emerging as a promising technology to improve the cellular
system capacity in the sixth-generation (6G) era. Compared to conventional microwave …
system capacity in the sixth-generation (6G) era. Compared to conventional microwave …
Spatial consistency evaluation based on massive SIMO measurements
In this paper, the spatial consistency of wireless massive single-input-multiple-output
channels in a cellular small cell scenario is evaluated based on measurements taken in …
channels in a cellular small cell scenario is evaluated based on measurements taken in …