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20182023
most citedDeep Learning Based Spatial User Mapping on Extra Large MIMO Arrays

10 citations · 24 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.IT20221 cited

QoS-Aware User Scheduling in Crowded XL-MIMO Systems Under Non-Stationary Multi-State LoS/NLoS Channels

Joao Henrique Inacio de Souza, Jose Carlos Marinello, Abolfazl Amiri +1

Providing minimum quality-of-service (QoS) in crowded wireless communications systems, with high user density, is challenging due to the network structure with limited transmit pow…

cs.IT20211 cited

Decentralized Design of Fast Iterative Receivers for Massive and Extreme-Large MIMO Systems

Victor Croisfelt, Taufik Abrão, Abolfazl Amiri +2

Despite the extensive use of a centralized approach to design receivers at the base station for massive multiple-input multiple-output (M-MIMO) systems, their actual implementation…

cs.IT2021

Quasi-Distributed Antenna Selection for Spectral Efficiency Maximization in Subarray Switching XL-MIMO Systems

Joao Henrique Inacio de Souza, Abolfazl Amiri, Taufik Abrao +2

In this paper, we consider the downlink (DL) of a zero-forcing (ZF) precoded extra-large scale massive MIMO (XL-MIMO) system. The base-station (BS) operates with limited number of…

cs.IT2020

Accelerated Randomized Methods for Receiver Design in Extra-Large Scale MIMO Arrays

Victor Croisfelt Rodrigues, Abolfazl Amiri, Taufik Abrão +2

Massive multiple-input-multiple-output (M-MIMO) features a capability for spatial multiplexing of large number of users. This number becomes even more extreme in extra-large (XL-MI…

cs.IT2019

Non-Stationarities in Extra-Large Scale Massive MIMO

Elisabeth De Carvalho, Anum Ali, Abolfazl Amiri +2

Massive MIMO, a key technology for increasing area spectral efficiency in cellular systems, was developed assuming moderately sized apertures. In this paper, we argue that massive…