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20242026
most citedAdaptive Downlink Localization in Near-Field and Far-Field

1 citations · 2 across the 10 of their papers we have counts for

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eess.SP2024

A Deep Learning Approach for User-Centric Clustering in Cell-Free Massive MIMO Systems

Giovanni Di Gennaro, Amedeo Buonanno, Gianmarco Romano +2

Contrary to conventional massive MIMO cellular configurations plagued by inter-cell interference, cell-free massive MIMO systems distribute network resources across the coverage ar…

eess.SP2024

Extended Automatic Repeat Request For Integrated Sensing And Communication Networks

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

6G wireless networks will integrate communication, computing, localization, and sensing capabilities while meeting the needs of high reliability and trustworthiness. In this paper,…

cs.IT2024

Adaptive Downlink Localization and User Tracking in Near-Field and Far-Field: A Trade-Off Analysis

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

This paper considers the problem of downlink localization and user equipments (UEs) tracking with an adaptive procedure for a range of distances. We provide the base station (BS) w…

cs.IT2024★ 1 cited

Adaptive Downlink Localization in Near-Field and Far-Field

Georgios Mylonopoulos, Behrooz Makki, Gábor Fodor +1

This paper considers the problem of downlink localization of user equipment devices (UEs) that are either in the near-field (NF) or in the far-field (FF) of the array of the servin…

eess.SP2024

Joint User Detection and Localization in Near-Field Using Reconfigurable Intelligent Surfaces

Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi +1

This letter studies the problem of jointly detecting active user equipments (UEs) and estimating their location in the near field, wherein the base station (BS) is unaware of the n…