Search Results for author: Pablo Ramirez-Espinosa

Found 6 papers, 1 papers with code

A New Spatial Block-Correlation Model for Fluid Antenna Systems

no code implementations9 Jan 2024 Pablo Ramirez-Espinosa, David Morales-Jimenez, Kai-Kit Wong

Powered by position-flexible antennas, the emerging fluid antenna system (FAS) technology postulates as a key enabler for massive connectivity in 6G networks.

Electromagnetic Based Communication Model for Dynamic Metasurface Antennas

1 code implementation22 Dec 2022 Robin Jess Williams, Pablo Ramirez-Espinosa, Jide Yuan, Elisabeth de Carvalho

Dynamic metasurface antennas (DMAs) arise as a promising technology in the field of massive multiple-input multiple-output (mMIMO) systems, offering the possibility of integrating a large number of antennas in a limited -- and potentially large -- aperture while keeping the required number of radio-frequency (RF) chains under control.

Statistics of the Effective Massive MIMO Channel in Correlated Rician Fading

no code implementations13 Dec 2021 Jens Abraham, Pablo Ramirez-Espinosa, Torbjörn Ekman

With the full distribution functions available, performance can be compared over the full range of received powers and not only based on the average SNR.

Radio Sensing with Large Intelligent Surface for 6G

no code implementations4 Nov 2021 Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho

This paper leverages the potential of Large Intelligent Surface (LIS) for radio sensing in 6G wireless networks.

Template Matching

Assessing Wireless Sensing Potential with Large Intelligent Surfaces

no code implementations16 Nov 2020 Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen, Zheng-Hua Tan, Elisabeth de Carvalho, Petar Popovski

By treating an LIS as a radio image of the environment relying on the received signal power, we develop techniques to sense the environment, by leveraging the tools of image processing and machine learning.

BIG-bench Machine Learning Denoising +1

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