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6 papers · 1 filter
Improving Numerical Stability of Normalized Mutual Information Estimator on High Dimensions
Marko Tuononen, Ville Hautamäki
Mutual information provides a powerful, general-purpose metric for quantifying the amount of shared information between variables. Estimating normalized mutual information using a…
Interpreting Deep Neural Network-Based Receiver Under Varying Signal-To-Noise Ratios
Marko Tuononen, Dani Korpi, Ville Hautamäki
We propose a novel method for interpreting neural networks, focusing on convolutional neural network-based receiver model. The method identifies which unit or units of the model co…
Analysis of Scalable Anomalous Reflectors through Ray Tracing and Measurements
Le Hao, Sravan K. R. Vuyyuru, Sergei A. Tretyakov +2
In this study, we elaborate on the concept of scalable anomalous reflector (AR) to analyze the angular response, frequency response, and spatial scalability of a designed AR across…
Enabling 6G Performance in the Upper Mid-Band by Transitioning From Massive to Gigantic MIMO
Emil Björnson, Ferdi Kara, Nikolaos Kolomvakis +3
The initial 6G networks will likely operate in the upper mid-band (7-24 GHz), which has decent propagation conditions but underwhelming new spectrum availability. In this paper, we…
Modeling RIS from Electromagnetic Principles to Communication Systems--Part I: Synthesis and Characterization of a Scalable Anomalous Reflector
Sravan K. R. Vuyyuru, Le Hao, Markus Rupp +2
This work aims to build connections between the electromagnetic and communication aspects of Reconfigurable Intelligent Surfaces (RIS) by proposing a methodology to combine outputs…
Bridging the gap between image coding for machines and humans
Nam Le, Honglei Zhang, Francesco Cricri +5
Image coding for machines (ICM) aims at reducing the bitrate required to represent an image while minimizing the drop in machine vision analysis accuracy. In many use cases, such a…