Search Results for author: Stefano Buzzi

Found 12 papers, 2 papers with code

Extended Automatic Repeat Request For Integrated Sensing And Communication Networks

no code implementations16 Apr 2024 Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi, Gábor Fodor

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

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

no code implementations4 Feb 2024 Georgios Mylonopoulos, Behrooz Makki, Stefano Buzzi, Gábor Fodor

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 number of active (or inactive) UEs and their positions.

Action Detection Activity Detection

Energy Efficiency Optimization in Active Reconfigurable Intelligent Surface-Aided Integrated Sensing and Communication Systems

no code implementations28 Nov 2023 Junjie Ye, Mohamed Rihan, Peichang Zhang, Lei Huang, Stefano Buzzi, Zhen Chen

Energy efficiency (EE) is a challenging task in integrated sensing and communication (ISAC) systems, where high spectral efficiency and low energy consumption appear as conflicting requirements.

Distributed MIMO for 6G sub-Networks in the Unlicensed Spectrum

no code implementations23 Oct 2023 Mohamed Elwekeil, Lorenzo Galati Giordano, Paolo Baracca, Stefano Buzzi

In this paper, we consider the sixth generation (6G) sub-networks, where hyper reliable low latency communications (HRLLC) requirements are expected to be met.

Integrated Sensing and Communications with Reconfigurable Intelligent Surfaces

no code implementations2 Nov 2022 Sundeep Prabhakar Chepuri, Nir Shlezinger, Fan Liu, George C. Alexandropoulos, Stefano Buzzi, Yonina C. Eldar

Integrated sensing and communications (ISAC) are envisioned to be an integral part of future wireless networks, especially when operating at the millimeter-wave (mmWave) and terahertz (THz) frequency bands.

Spatial Diversity in Radar Detection via Active Reconfigurable Intelligent Surfaces

no code implementations3 Feb 2022 Mohamed Rihan, Emanuele Grossi, Luca Venturino, Stefano Buzzi

Active reconfigurable intelligent surfaces (RISs) are a novel and promising technology that allows controlling the radio propagation environment while compensating for the product path loss along the RIS-assisted path.

Deep Learning-Based Power Control for Uplink Cell-Free Massive MIMO Systems

no code implementations18 Oct 2021 Yongshun Zhang, Jiayi Zhang, Yu Jin, Stefano Buzzi, Bo Ai

In this paper, a general framework for deep learning-based power control methods for max-min, max-product and max-sum-rate optimization in uplink cell-free massive multiple-input multiple-output (CF mMIMO) systems is proposed.

Foundations of MIMO Radar Detection Aided by Reconfigurable Intelligent Surfaces

no code implementations19 May 2021 Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino

A reconfigurable intelligent surface (RIS) is a nearly-passive flat layer made of inexpensive elements that can add a tunable phase shift to the impinging electromagnetic wave and are controlled by a low-power electronic circuit.

Radar Target Detection aided by Reconfigurable Intelligent Surfaces

no code implementations1 Apr 2021 Stefano Buzzi, Emanuele Grossi, Marco Lops, Luca Venturino

In this work, we consider the target detection problem in a sensing architecture where the radar is aided by a reconfigurable intelligent surface (RIS), that can be modeled as an array of sub-wavelength small reflective elements capable of imposing a tunable phase shift to the impinging waves and, ultimately, of providing the radar with an additional echo of the target.

Massive MIMO in Sub-6 GHz and mmWave: Physical, Practical, and Use-Case Differences

1 code implementation29 Mar 2018 Emil Björnson, Liesbet Van der Perre, Stefano Buzzi, Erik G. Larsson

The use of base stations (BSs) and access points (APs) with a large number of antennas, called Massive MIMO (multiple-input multiple-output), is a key technology for increasing the capacity of 5G networks and beyond.

Information Theory Information Theory

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