22 citations · 46 across the 9 of their papers we have counts for
8 papers · 1 filter
A Deep Learning Approach to Location- and Orientation-aided 3D Beam Selection for mmWave Communications
Sajad Rezaie, Elisabeth de Carvalho, Carles Navarro Manchón
Position-aided beam selection methods have been shown to be an effective approach to achieve high beamforming gain while limiting the overhead and latency of initial access in mill…
Uncoordinated and Decentralized Processing in Extra-Large MIMO Arrays
Abolfazl Amiri, Carles Navarro Manch'on, Elisabeth de Carvalho
We propose a decentralized receiver for extra-large multiple-input multiple-output (XL-MIMO) arrays. Our method operates with no central processing unit (CPU) and all the signal de…
Assessing Wireless Sensing Potential with Large Intelligent Surfaces
Cristian J. Vaca-Rubio, Pablo Ramirez-Espinosa, Kimmo Kansanen +3
Sensing capability is one of the most highlighted new feature of future 6G wireless networks. This paper addresses the sensing potential of Large Intelligent Surfaces (LIS) in an e…
Antenna Selection for Improving Energy Efficiency in XL-MIMO Systems
José Carlos Marinello, Taufik Abrão, Abolfazl Amiri +2
We consider the recently proposed extra-large scale massive multiple-input multiple-output (XL-MIMO) systems, with some hundreds of antennas serving a smaller number of users. Sinc…
Distributed Receivers for Extra-Large Scale MIMO Arrays: A Message Passing Approach
Abolfazl Amiri, Sajad Rezaie, Carles Navarro Manchon +1
We study the design of receivers in extra-large scale MIMO (XL-MIMO) systems, i.e. systems in which the base station is equipped with an antenna array of extremely large dimensions…
Deep Learning Based Spatial User Mapping on Extra Large MIMO Arrays
Abolfazl Amiri, Carles Navarro Manch'on, Elisabeth de Carvalho
In an extra-large scale MIMO (XL-MIMO) system, the antenna arrays have a large physical size that goes beyond the dimensions in traditional MIMO systems. Because of this large dime…