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20132026
most citedMulti-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks

127 citations · 356 across the 54 of their papers we have counts for

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Showing cs.ITShow all

24 papers · 1 filter

cs.IT2026

Non-Coherent Over-the-Air Federated Learning: Protocol, Convergence, and Device Scheduling

Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +2

To mitigate the scalability bottleneck in the radio access network (RAN) in federated edge learning (FEEL), over-the-air federated learning (AirFL) exploits waveform superposition…

cs.IT2024

NCAirFL: CSI-Free Over-the-Air Federated Learning Based on Non-Coherent Detection

Haifeng Wen, Nicolò Michelusi, Osvaldo Simeone +1

Over-the-air federated learning (FL), i.e., AirFL, leverages computing primitively over multiple access channels. A long-standing challenge in AirFL is to achieve coherent signal a…

cs.IT2022★ 2 cited

Decentralized Federated Learning via Non-Coherent Over-the-Air Consensus

Nicolò Michelusi

This paper presents NCOTA-DGD, a Decentralized Gradient Descent (DGD) algorithm that combines local gradient descent with a novel Non-Coherent Over-The-Air (NCOTA) consensus scheme…

cs.IT2020

MAESTRO-X: Distributed Orchestration of Rotary-Wing UAV-Relay Swarms

Bharath Keshavamurthy, Matthew Bliss, Nicolò Michelusi

This work details a scalable framework to orchestrate a swarm of rotary-wing UAVs serving as cellular relays to facilitate beyond line-of-sight connectivity and traffic offloading…

cs.IT2020

Adaptive Millimeter-Wave Communications Exploiting Mobility and Blockage Dynamics

Muddassar Hussain, Maria Scalabrin, Michele Rossi +1

Mobility may degrade the performance of next-generation vehicular networks operating at the millimeter-wave spectrum: frequent loss of alignment and blockages require repeated beam…

cs.IT2020

Power-Constrained Trajectory Optimization for Wireless UAV Relays with Random Requests

Matthew Bliss, Nicolò Michelusi

This paper studies the adaptive trajectory design of a rotary-wing UAV serving as a relay between ground nodes dispersed in a circular cell and generating uplink data transmissions…

cs.IT2020

Mobility and Blockage-aware Communications in Millimeter-Wave Vehicular Networks

Muddassar Hussain, Maria Scalabrin, Michele Rossi +1

Mobility may degrade the performance of next-generation vehicular networks operating at the millimeter-wave spectrum: frequent mis-alignment and blockages require repeated beam tra…

cs.IT2019

Second-best Beam-Alignment via Bayesian Multi-Armed Bandits

Muddassar Hussain, Nicolo Michelusi

Millimeter-wave (mm-wave) systems rely on narrow-beams to cope with the severe signal attenuation in the mm-wave frequency band. However, susceptibility to beam mis-alignment due t…

cs.IT2019

Trajectory Optimization for Rotary-Wing UAVs in Wireless Networks with Random Requests

Matthew Bliss, Nicolò Michelusi

This paper studies the trajectory optimization problem in a scenario where a single rotary-wing UAV acts as a relay of data payloads for downlink transmission requests generated ra…

cs.IT2018

Coded Energy-Efficient Beam-Alignment for Millimeter-Wave Networks

Muddassar Hussain, Nicolo Michelusi

Millimeter-wave communications rely on narrow-beam transmissions to cope with the strong signal attenuation at these frequencies, thus demanding precise alignment between transmitt…

cs.IT2018

Energy-Efficient Interactive Beam-Alignment for Millimeter-Wave Networks

Muddassar Hussain, Nicolo Michelusi

Millimeter-wave will be a key technology in next-generation wireless networks thanks to abundant bandwidth availability. However, the use of large antenna arrays with beamforming d…

cs.IT2018

Beam Training and Data Transmission Optimization in Millimeter-Wave Vehicular Networks

Maria Scalabrin, Nicolò Michelusi, Michele Rossi

Future vehicular communication networks call for new solutions to support their capacity demands, by leveraging the potential of the millimeter-wave (mm-wave) spectrum. Mobility, i…

cs.IT2018

Multi-Scale Spectrum Sensing in Dense Multi-Cell Cognitive Networks

Nicolo Michelusi, Matthew Nokleby, Urbashi Mitra +1

Multi-scale spectrum sensing is proposed to overcome the cost of full network state information on the spectrum occupancy of primary users (PUs) in dense multi-cell cognitive netwo…

cs.IT2018

Optimal Beam Sweeping and Communication in Mobile Millimeter-Wave Networks

Nicolo Michelusi, Muddassar Hussain

Millimeter-wave (mm-wave) communications incur a high beam alignment cost in mobile scenarios such as vehicular networks. Therefore, an efficient beam alignment mechanism is requir…

cs.IT2018

Optimal Spectrum Sharing with ARQ based Legacy Users via Chain Decoding

Nicolo Michelusi

This paper investigates the design of access policies in spectrum sharing networks by exploiting the retransmission protocol of legacy primary users (PUs) to improve the spectral e…

cs.IT2017

Multi-scale Spectrum Sensing in Small-Cell mm-Wave Cognitive Wireless Networks

Nicolo Michelusi, Matthew Nokleby, Urbashi Mitra +1

In this paper, a multi-scale approach to spectrum sensing in cognitive cellular networks is proposed. In order to overcome the huge cost incurred in the acquisition of full network…

cs.IT2017★ 1 cited

Throughput Optimal Beam Alignment in Millimeter Wave Networks

Muddassar Hussain, Nicolo Michelusi

Millimeter wave communications rely on narrow-beam transmissions to cope with the strong signal attenuation at these frequencies, thus demanding precise beam alignment between tran…

cs.IT2016

Energy-Based Adaptive Multiple Access in LPWAN IoT Systems with Energy Harvesting

Nicolo Michelusi, Marco Levorato

This paper develops a control framework for a network of energy harvesting nodes connected to a Base Station (BS) over a multiple access channel. The objective is to adapt their tr…

cs.IT2015

Cognitive Access-Transmission Policies under a Primary ARQ process via Chain Decoding

Nicolo Michelusi, Petar Popovski, Michele Zorzi

This paper introduces a novel technique that enables access by a cognitive secondary user (SU) to a spectrum occupied by an incumbent primary user (PU) that employs Type-I Hybrid A…

cs.IT2015★ 1 cited

A new result of the scaling law of weighted L1 minimization

Jun Zhang, Urbashi Mitra, Kuan-Wen Huang +1

This paper study recovery conditions of weighted L1 minimization for signal reconstruction from compressed sensing measurements. A sufficient condition for exact recovery by using…

cs.IT2015

Cross-layer estimation and control for Cognitive Radio: Exploiting Sparse Network Dynamics

Nicolo Michelusi, Urbashi Mitra

In this paper, a cross-layer framework to jointly optimize spectrum sensing and scheduling in resource constrained agile wireless networks is presented. A network of secondary user…

cs.IT2015

Capacity of electron-based communication over bacterial cables: the full-CSI case

Nicolo Michelusi, Urbashi Mitra

Motivated by recent discoveries of microbial communities that transfer electrons across centimeter-length scales, this paper studies the information capacity of bacterial cables vi…

cs.IT2014★ 81 cited

Optimal Adaptive Random Multiaccess in Energy Harvesting Wireless Sensor Networks

Nicolo Michelusi, Michele Zorzi

Wireless sensors can integrate rechargeable batteries and energy-harvesting (EH) devices to enable long-term, autonomous operation, thus requiring intelligent energy management to…

cs.IT2013★ 22 cited

Cognitive Access Policies under a Primary ARQ process via Forward-Backward Interference Cancellation

Nicolò Michelusi, Petar Popovski, Osvaldo Simeone +2

This paper introduces a novel technique for access by a cognitive Secondary User (SU) using best-effort transmission to a spectrum with an incumbent Primary User (PU), which uses T…