no code implementations • 15 Jan 2024 • Panagiotis Gavriilidis, Italo Atzeni, George C. Alexandropoulos
The massive Multiple-Input Multiple-Output (mMIMO) concept has been recently moving forward to extreme scales to address the envisioned requirements of next generation networks.
no code implementations • 4 Dec 2023 • Italo Atzeni, Antti Tölli, Duy H. N. Nguyen, A. Lee Swindlehurst
Enabling communications in the (sub-)THz band will call for massive multiple-input multiple-output (MIMO) arrays at either the transmit- or receive-side, or at both.
no code implementations • 25 Oct 2023 • Amila Ravinath, Bikshapathi Gouda, Italo Atzeni, Antti Tölli
We propose uplink power control (PC) methods for massive multiple-input multiple-output systems with 1-bit analog-to-digital converters, which are specifically tailored to address the non-monotonic data detection performance with respect to the transmit power of the user equipment (UE).
no code implementations • 30 Jun 2023 • Mengyuan Ma, Nhan Thanh Nguyen, Italo Atzeni, Markku Juntti
In particular, we demonstrate that oversampling can effectively improve the sum rate by mitigating the impact of the quantization distortion, especially at high SNR and with very low ADC resolution.
no code implementations • 31 Mar 2023 • Amin Radbord, Italo Atzeni, Antti Tölli
We provide new analytical results on the uplink data detection in massive multiple-input multiple-output systems with 1-bit analog-to-digital converters.
no code implementations • 23 May 2022 • Duy H. N. Nguyen, Italo Atzeni, Antti Tölli, A. Lee Swindlehurst
In this paper, we build upon variational Bayes (VB) inference to design low-complexity multiuser detection algorithms for massive MIMO systems.
no code implementations • 12 Oct 2021 • Bikshapathi Gouda, Italo Atzeni, Antti Tölli
Numerical results show that, in scenarios with short scheduling blocks, the proposed framework outperforms the case where the DL and UL beamforming strategies are computed individually via two separate bi-directional training phases thanks to the reduced training overhead.
no code implementations • 2 Feb 2021 • Placido Mursia, Italo Atzeni, Mari Kobayashi, David Gesbert
Multicasting, where a base station (BS) wishes to convey the same message to several user equipments (UEs), represents a common yet highly challenging wireless scenario.
Information Theory Information Theory
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.