no code implementations • 16 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.
no code implementations • 4 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.
no code implementations • 28 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.
no code implementations • 23 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.
no code implementations • 2 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.
no code implementations • 3 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.
no code implementations • 18 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.
1 code implementation • 16 Aug 2021 • Fan Liu, Yuanhao Cui, Christos Masouros, Jie Xu, Tony Xiao Han, Yonina C. Eldar, Stefano Buzzi
As the standardization of 5G is being solidified, researchers are speculating what 6G will be.
no code implementations • 19 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.
no code implementations • 1 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.
no code implementations • 17 Aug 2020 • Nandana Rajatheva, Italo Atzeni, Simon Bicais, Emil Bjornson, Andre Bourdoux, Stefano Buzzi, Carmen D'Andrea, Jean-Baptiste Dore, Serhat Erkucuk, Manuel Fuentes, Ke Guan, Yuzhou Hu, Xiaojing Huang, Jari Hulkkonen, Josep Miquel Jornet, Marcos Katz, Behrooz Makki, Rickard Nilsson, Erdal Panayirci, Khaled Rabie, Nuwanthika Rajapaksha, MohammadJavad Salehi, Hadi Sarieddeen, Shahriar Shahabuddin, Tommy Svensson, Oskari Tervo, Antti Tolli, Qingqing Wu, Wen Xu
Several categories of enablers at the infrastructure, spectrum, and protocol/algorithmic levels are required to realize the intended broadband connectivity goals in 6G.
1 code implementation • 29 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.
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