28 citations · 34 across the 29 of their papers we have counts for
12 papers · 1 filter
Enabling NLOS Imaging Capabilities at the Initial Access of 6G Base Stations
Davide Tornielli Bellini, Dario Tagliaferri, Pietro Grassi +3
Sensing in non-line-of-sight (NLOS) is one of the major challenges for integrated sensing and communication systems. Existing countermeasures for NLOS either use prior knowledge on…
Towards Channel Charting Enhancement with Non-Reconfigurable Intelligent Surfaces
Mahdi Maleki, Reza Agahzadeh Ayoubi, Marouan Mizmizi +1
We investigate how fully-passive electromagnetic skins (EMSs) can be engineered to enhance channel charting (CC) in dense urban environments. We employ two complementary state-of-t…
Chartwin: a Case Study on Channel Charting-aided Localization in Dynamic Digital Network Twins
Lorenzo Cazzella, Francesco Linsalata, Mahdi Maleki +3
Wireless communication systems can significantly benefit from the availability of spatially consistent representations of the wireless channel to efficiently perform a wide range o…
Channel Charting in Smart Radio Environments
Mahdi Maleki, Reza Agahzadeh Ayoubi, Marouan Mizmizi +1
This paper introduces the use of static electromagnetic skins (EMSs) to enable robust device localization via channel charting (CC) in realistic urban environments. We develop a ri…
High-Fidelity RF Mapping: Assessing Environmental Modeling in 6G Network Digital Twins
Lorenzo Cazzella, Francesco Linsalata, Damiano Badini +3
The design of accurate Digital Twins (DTs) of electromagnetic environments strictly depends on the fidelity of the underlying environmental modeling. Evaluating the differences amo…
Exploiting Age of Information in Network Digital Twins for AI-driven Real-Time Link Blockage Detection
Michele Zhu, Francesco Linsalata, Silvia Mura +3
The Line-of-Sight (LoS) identification is crucial to ensure reliable high-frequency communication links, especially those vulnerable to blockages. Network Digital Twins and Artific…
AI-empowered Real-Time Line-of-Sight Identification via Network Digital Twins
Michele Zhu, Silvia Mura, Francesco Linsalata +3
The identification of Line-of-Sight (LoS) conditions is critical for ensuring reliable high-frequency communication links, which are particularly vulnerable to blockages and rapid…
Low-Complexity CNN-Based Classification of Electroneurographic Signals
Arek Berc Gokdag, Silvia Mura, Antonio Coviello +3
Peripheral nerve interfaces (PNIs) facilitate neural recording and stimulation for treating nerve injuries, but real-time classification of electroneurographic (ENG) signals remain…
Joint Optimization of Uplink and Downlink Power in Full-Duplex Integrated Access and Backhaul
Giovanni Interdonato, Silvia Mura, Marouan Mizmizi +2
We examine the performance of an Integrated Access and Backhaul (IAB) node as a range extender for beyond-5G networks, focusing on the significant challenges of effective power all…
Hybrid MIMO in the Upper Mid-Band: Architectures, Processing, and Energy Efficiency
Marouan Mizmizi, Ahmed Alkhateeb, Umberto Spagnolini
As 6G networks evolve, the upper mid-band spectrum (7 GHz to 24 GHz), or frequency range 3 (FR3), is emerging as a promising balance between the coverage offered by sub-6 GHz bands…
Bayesian EM Digital Twins Channel Estimation
Lorenzo Del Moro, Francesco Linsalata, Marouan Mizmizi +3
This letter proposes a Bayesian channel estimation method that leverages on the a priori information provided by the Electromagnetic Digital Twin's (EM-DT) representation of the en…
Toward Digital Network Twins: Integrating Sionna RT in ns-3 for 6G Multi-RAT Networks Simulations
Roberto Pegurri, Francesco Linsalata, Eugenio Moro +2
The increasing complexity of 6G systems demands innovative tools for network management, simulation, and optimization. This work introduces the integration of ns-3 with Sionna RT,…