papers

Publications (31)

cs.NI2026

Edge Intelligence for Satellite-based Earth Observation: Scheduling Image Acquisition and Processing

Beatriz Soret, Antonio M. Mercado-Martínez, Antonio Jurado-Navas +4

Modern Earth Observation (EO) missions generate massive volumes of imagery that challenge existing downlink and ground-processing capabilities, particularly for time-critical appli…

cs.IT2024

Power Minimization with Rate Constraints for Multi-User MIMO Systems with Large-Size RISs

Silvia Palmucci, Giulio Bartoli, Andrea Abrardo +2

This study focuses on the optimization of a single-cell multi-user multiple-input multiple-output (MIMO) system with multiple large-size reconfigurable intelligent surfaces (RISs).…

cs.IT2013

Low complexity resource allocation for load minimization in OFDMA wireless networks

Ying Yang, Marco Moretti, Wenxiang Dong +1

To cope with the ever increasing demand for bandwidth, future wireless networks will be designed with reuse distance equal to one. This scenario requires the implementation of tech…

cs.IT2008

Message passing resource allocation for the uplink of multicarrier systems

Andrea Abrardo, Paolo Detti, Marco Moretti

We propose a novel distributed resource allocation scheme for the up-link of a cellular multi-carrier system based on the message passing (MP) algorithm. In the proposed approach e…

eess.SP2026

Near-Field MMSE Channel Estimation for THz RIS-aided Communications with Electromagnetic Interference

Wen-Xuan Long, Marco Moretti, Giacomo Bacci +1

This letter investigates the channel estimation problem in THz wireless communications where a RIS is employed to assist wireless transmission between different devices. Unlike exi…

eess.SP2021

Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic

Fabio Saggese, Luca Pasqualini, Marco Moretti +1

With the advent of 5G and the research into beyond 5G (B5G) networks, a novel and very relevant research issue is how to manage the coexistence of different types of traffic, each…

cs.NI2024

Semantic and goal-oriented edge computing for satellite Earth Observation

Beatriz Soret, Israel Leyva-Mayorga, Antonio M. Mercado-Martínez +6

The integration of Semantic Communications (SemCom) and edge computing in space networks enables the optimal allocation of the scarce energy, computing, and communication resources…

cs.IT2021

NOMA Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users

Fabio Saggese, Marco Moretti, Petar Popovski

Spectrum slicing of the shared radio resources is a critical task in 5G networks with heterogeneous services, through which each service gets performance guarantees. In this paper,…

physics.app-ph2019

Orbital Angular Momentum Waves: Generation, Detection and Emerging Applications

Rui Chen, Hong Zhou, Marco Moretti +2

Orbital angular momentum (OAM) has aroused a widespread interest in many fields, especially in telecommunications due to its potential for unleashing new capacity in the severely c…

eess.SP2021

Radio-Frequency Multi-Mode OAM Detection Based on UCA Samples Learning

Jiabei Fan, Rui Chen, Wen-Xuan Long +2

Orbital angular momentum (OAM) at radio-frequency provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral efficie…

eess.SP2021

AoA Estimation for OAM Communication Systems With Mode-Frequency Multi-Time ESPRIT Method

Wen-Xuan Long, Rui Chen, Marco Moretti +1

Radio orbital angular momentum (OAM) communications require accurate alignment between the transmit and receive beam directions. Accordingly, a key feature of OAM receivers is the…

math.OC2010

Radio resource allocation in OFDMA multi-cell networks

Paolo Detti, Marco Moretti, Andrea Abrardo

In this paper, the problem of allocating users to radio resources (i.e., subcarriers) in the downlink of an OFDMA cellular network is addressed. We consider a multi-cellular enviro…

cs.NI2023

Satellite edge computing for real-time and very-high resolution Earth observation

Israel Leyva-Mayorga, Marc M. Gost, Marco Moretti +4

In real-time and high-resolution Earth observation imagery, Low Earth Orbit (LEO) satellites capture images that are subsequently transmitted to ground to create an updated map of…

cs.IT2022

Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users

Fabio Saggese, Marco Moretti, Petar Popovski

5G technology allows heterogeneous services to share the wireless spectrum within the same radio access network. In this context, spectrum slicing of the shared radio resources is…

eess.SP2026

Reduced-Observation Approximation of Near-Field Gaussian Covariance Matrices

Marco Moretti

The paper introduces a low‑complexity method to approximate two‑dimensional near‑field Gaussian covariance matrices by using a reduced‑observation representation that avoids full e…

#near-field arrays#covariance approximation#reduced observation#spectral estimation
eess.SP2020

Power and subcarrier allocation in multicarrier NOMA-FD systems

Andrea Abrardo, Marco Moretti, Fabio Saggese

In this paper, we study the problem of power and channel allocation for multicarrier non-orthogonal multiple access (NOMA) full duplex (FD) systems. In such a system there are mult…

cs.IT2021

Joint Spatial Division and Coaxial Multiplexing for Downlink Multi-User OAM Wireless Backhaul

Wen-Xuan Long, Rui Chen, Marco Moretti +2

Orbital angular momentum (OAM) at radio frequency (RF) provides a novel approach of multiplexing a set of orthogonal modes on the same frequency channel to achieve high spectral ef…

cs.IT2021

Broadband beam steering for misaligned multi-mode OAM communication systems

Zhengjuan Tian, Rui Chen, Wen-Xuan Long +2

Orbital angular momentum (OAM) at radio frequency (RF) has attracted more and more attention as a novel approach of multiplexing a set of orthogonal OAM modes on the same frequency…

cs.IT2014

Resource Allocation for Power Minimization in the Downlink of THP-based Spatial Multiplexing MIMO-OFDMA Systems

Marco Moretti, Luca Sanguinetti, Xiaodong Wang

In this work, we deal with resource allocation in the downlink of spatial multiplexing MIMO-OFDMA systems. In particular, we concentrate on the problem of jointly optimizing the tr…

cs.IT2023

MMSE Design of RIS-aided Communications

Wen-Xuan Long, Marco Moretti, Andrea Abrardo +2

Consider a communication system in which a single antenna user equipment exchanges information with a multi-antenna base station via a reconfigurable intelligent surface (RIS) in t…

cs.NI2021

A Promising Technology for 6G Wireless Networks: Intelligent Reflecting Surface

Wen-Xuan Long, Rui Chen, Marco Moretti +2

The intelligent information society, which is highly digitized, intelligence inspired and globally data driven, will be deployed in the next decade. The next 6G wireless communicat…

eess.SP2025

Doppler Robust Vortex Wavefront Design for Integrated Sensing and Communication

Yuan Liu, Wen-Xuan Long, M. R. Bhavani Shankar +3

Integrated sensing and communication (ISAC) is a promising paradigm for future wireless systems due to spectrum reuse, hardware sharing, and joint waveform design. In dynamic scene…

eess.SP2025

Parametric Near-Field MMSE Channel Estimation for sub-THz XL-MIMO Systems

Wen-Xuan Long, Marco Moretti, Michele Morelli +2

Accurate channel estimation is essential for reliable communication in sub-THz extremely large (XL) MIMO systems. Deploying XL-MIMO in high-frequency bands not only increases the n…

eess.SY2023

Edge Computing and Communication for Energy-Efficient Earth Surveillance with LEO Satellites

Marc Martinez-Gost, Israel Leyva-Mayorga, Ana Pérez-Neira +3

Modern satellites deployed in low Earth orbit (LEO) accommodate processing payloads that can be exploited for edge computing. Furthermore, by implementing inter-satellite links, th…

eess.SP2019

The NEFOCAST System for Detection and Estimation of Rainfall Fields by the Opportunistic Use of Broadcast Satellite Signals

Filippo Giannetti, Marco Moretti, Ruggero Reggiannini +1

In this paper we present results from the NEFOCAST project, funded by the Tuscany Region, aiming at detecting and estimating rainfall fields from the opportunistic use of the rain-…

eess.SP2022

Joint OAM Radar-Communication Systems: Target Recognition and Beam Optimization

Wen-Xuan Long, Rui Chen, Marco Moretti +2

Orbital angular momentum (OAM) radars are able to estimate the azimuth angle and the rotation velocity of multiple targets without relative motion or beam scanning. Moreover, OAM w…

eess.SP2018

Evolution of Spatial and Multicarrier Scheduling: Towards Multi-cell Scenario

Pol Henarejos, Ana Perez-Neira, Velio Tralli +3

OFDMA systems are considered as the promising multiple access scheme of next generation multi-cellular wireless systems. In order to ensure the optimum usage of radio resources, OF…

cs.NI2021

Deep Reinforcement Learning-Aided RAN Slicing Enforcement for B5G Latency Sensitive Services

Sergio Martiradonna, Andrea Abrardo, Marco Moretti +2

The combination of cloud computing capabilities at the network edge and artificial intelligence promise to turn future mobile networks into service- and radio-aware entities, able…

eess.SP2026

WMMSE resource allocation for FD-NOMA

Andrea Abrardo, Marco Moretti, Fabio Saggese

Power and channel allocation in interference-limited systems is a key enabler for beyond 5G (B5G) technologies, such as multi-carrier full duplex non-orthogonal multiple access (FD…

eess.SP2026

Channel Estimation for 6G Near-Field Wireless Communications: A Comprehensive Survey

Wen-Xuan Long, Shengyu Ye, Marco Moretti +4

The sixth-generation (6G) wireless systems are expected to adopt extremely large aperture arrays (ELAAs), novel antenna architectures, and operate in extremely high-frequency bands…

cs.IT2016

Distributed power allocation for D2D communications underlaying/overlaying OFDMA cellular networks

Andrea Abrardo, Marco Moretti

The implementation of device-to-device (D2D) underlaying or overlaying pre-existing cellular networks has received much attention due to the potential of enhancing the total cell t…