research
∙
08/02/2023
Towards Integrated Sensing and Communications for 6G: A Standardization Perspective
The radio communication division of the International Telecommunication ...
share
research
∙
03/08/2023
Energy Efficiency in RIS-Aided Wireless Networks: Active or Passive RIS?
This work addresses the comparison between active and passive RISs in wi...
research
∙
05/19/2022
Digital Reconfigurable Intelligent Surfaces: On the Impact of Realistic Reradiation Models
Reconfigurable intelligent surface (RIS) is an emerging technology that ...
research
∙
11/20/2021
Power Control in Cell-Free Massive MIMO Networks for UAVs URLLC under the Finite Blocklength Regime
In this paper, we concentrate on the employment of a user-centric (UC) c...
research
∙
07/22/2021
Optimal Joint Beamforming and Power Control in Cell-Free Massive MIMO Downlink
In this paper, a novel optimization model for joint beamforming and powe...
research
∙
04/13/2021
Optimization of Reconfigurable Intelligent Surfaces with Electromagnetic Field Exposure Constraints
This work tackles the problem of maximizing the achievable rate in a rec...
research
∙
03/20/2021
RIS Configuration, Beamformer Design, and Power Control in Single-Cell and Multi-Cell Wireless Networks
Reconfigurable Intelligent Surfaces (RISs) are recently attracting a wid...
research
∙
03/17/2021
Intelligent Reflecting Surface Enabled Random Rotations Scheme for the MISO Broadcast Channel
The current literature on intelligent reflecting surface (IRS) focuses o...
research
∙
07/15/2020
On The Optimal Number of Reflecting Elements for Reconfigurable Intelligent Surfaces
This work considers a point-to-point link where a reconfigurable intelli...
research
∙
04/20/2020
Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How it Works, State of Research, and Road Ahead
What is a reconfigurable intelligent surface? What is a smart radio envi...
research
∙
04/19/2020
Resource Allocation in Wireless Networks Assisted by Reconfigurable Intelligent Surfaces
Reconfigurable Intelligent Surfaces (RISs) are recently attracting a wid...
research
∙
04/07/2020
Spectral Efficiency and Energy Efficiency Tradeoff in Massive MIMO Downlink Transmission with Statistical CSIT
As a key technology for future wireless networks, massive multiple-input...
research
∙
03/05/2020
Overhead-Aware Design of Reconfigurable Intelligent Surfaces in Smart Radio Environments
Reconfigurable intelligent surfaces have emerged as a promising technolo...
research
∙
11/27/2019
Holographic MIMO Surfaces for 6G Wireless Networks: Opportunities, Challenges, and Trends
Future wireless networks are expected to evolve towards an intelligent a...
research
∙
08/29/2019
Uplink power control in cell-free massive MIMO via deep learning
This paper focuses on the use of a deep learning approach to perform sum...
research
∙
04/01/2019
Distributed Power Control for Large Energy Harvesting Networks: A Multi-Agent Deep Reinforcement Learning Approach
In this paper, we develop a multi-agent reinforcement learning (MARL) fr...
research
∙
03/27/2019
Energy-Efficient Power Control in Cell-Free and User-Centric Massive MIMO at Millimeter Wave
In a cell-free massive MIMO architecture a very large number of distribu...
research
∙
03/21/2019
Smart Radio Environments Empowered by AI Reconfigurable Meta-Surfaces: An Idea Whose Time Has Come
Future wireless networks are expected to constitute a distributed intell...
research
∙
03/08/2019
Deep Learning Based Online Power Control for Large Energy Harvesting Networks
In this paper, we propose a deep learning based approach to design onlin...
research
∙
03/07/2019
Deep Learning for UL/DL Channel Calibration in Generic Massive MIMO Systems
One of the fundamental challenges to realize massive Multiple-Input Mult...
research
∙
02/05/2019
Wireless Networks Design in the Era of Deep Learning: Model-Based, AI-Based, or Both?
This work deals with the use of emerging deep learning techniques in fut...
research
∙
12/17/2018
Deep Learning for Optimal Energy-Efficient Power Control in Wireless Interference Networks
This work develops a deep learning power control framework for energy ef...
research
∙
12/17/2018
User Association and Load Balancing for Massive MIMO through Deep Learning
This work investigates the use of deep learning to perform user cell ass...
research
∙
12/10/2018
Deep Learning Power Allocation in Massive MIMO
This work advocates the use of deep learning to perform max-min and max-...
research
∙
10/16/2018
Large Intelligent Surfaces for Energy Efficiency in Wireless Communication
The adoption of Large Intelligent Surfaces (LIS) in assisting downlink m...
research
∙
09/14/2018
Energy Efficient Multi-User MISO Communication using Low Resolution Large Intelligent Surfaces
We consider a multi-user Multiple-Input Single-Output (MISO) communicati...
research
∙
08/05/2018
Model-Aided Wireless Artificial Intelligence: Embedding Expert Knowledge in Deep Neural Networks Towards Wireless Systems Optimization
Deep learning based on artificial neural networks is a powerful machine ...
research
∙
07/19/2018
Achievable Rate maximization by Passive Intelligent Mirrors
This paper investigates the use of a Passive Intelligent Mirrors (PIM) t...
research
∙
06/19/2018
Solving Fractional Polynomial Problems by Polynomial Optimization Theory
This work aims to introduce the framework of polynomial optimization the...
research
∙
06/13/2018
Energy Efficiency in Hybrid Beamforming Large-scale mmWave Multiuser MIMO with Spatial Modulation
The problem of radio resource allocation for global energy efficiency (G...
research
∙
05/11/2018
Energy-Efficient Downlink Power Control in mmWave Cell-Free and User-Centric Massive MIMO
This paper considers cell-free and user-centric approaches for coverage ...
research
∙
03/06/2018
User-Centric 5G Cellular Networks: Resource Allocation and Comparison with the Cell-Free Massive MIMO Approach
Recently, the so-called cell-free (CF) Massive MIMO architecture has bee...
research
∙
02/26/2018
A Learning Approach for Low-Complexity Optimization of Energy Efficiency in Multi-Carrier Wireless Networks
This paper proposes computationally efficient algorithms to maximize the...
research
∙
01/23/2018
