activity
20212026
collaborators

12 papers

eess.SP2026

Variational Bayesian Tensor Decomposition With Discrete Mixture Prior for Unsourced Random Access

Ala Baccar, Alexis Decurninge, Alberto Rech +3

Tensor-based modulation (TBM) schemes are a promising approach for unsourced random access (URA), where user separation relies on decomposing the received signal tensor via the can…

eess.SP2026

Tensor-based Random Access for Ambient IoT Contention Resolution

Alberto Rech, Alexis Decurninge, Ala Baccar +1

Ambient Internet of Things (A-IoT) deployments impose stringent hardware constraints, including low-order modulations and simple transceiver architectures. We propose a tensor-base…

cs.IT2024

Scheduling for Downlink OFDMA With IRS Reconfiguration Constraints

Alberto Rech, Leonardo Badia, Stefano Tomasin

The technical limitations of the intelligent reflecting surface (IRS) (re)configurations in terms of both communication overhead and energy efficiency must be considered when IRSs…

cs.IT2023

Minimum-Latency Scheduling For Partial-Information Multiple Access Schemes

Alberto Rech, Stefano Tomasin, Lorenzo Vangelista +1

Partial-information multiple access (PIMA) is an orthogonal multiple access (OMA) uplink scheme where time is divided into frames, each composed of two parts. The first part is use…

cs.IT2023

Semi-Grant-Free Orthogonal Multiple Access with Partial-Information for Short Packet Transmissions

Alberto Rech, Stefano Tomasin, Lorenzo Vangelista +1

Next-generation internet-of-things (IoT) networks require extremely low latency, complexity, and collision probability. We introduce the novel partial-information multiple access (…

eess.SP2023

Downlink Clustering-Based Scheduling of IRS-Assisted Communications With Reconfiguration Constraints

Alberto Rech, Matteo Pagin, Leonardo Badia +4

Intelligent reflecting surfaces (IRSs) are being widely investigated as a potential low-cost and energy-efficient alternative to active relays for improving coverage in next-genera…

eess.SP2023

Unsourced Random Access With Tensor-Based and Coherent Modulations

Alberto Rech, Alexis Decurninge, Luis G. Ordóñez

Unsourced random access (URA) is a particular form of grant-free uncoordinated random access wherein the users' identities are not associated to specific waveforms at the physical…

eess.SP2023

Partial-Information Multiple Access Protocol for Orthogonal Transmissions

Alberto Rech, Stefano Tomasin, Lorenzo Vangelista +1

With the stringent requirements introduced by the new sixth-generation (6G) internet-of-things (IoT) use cases, traditional approaches to multiple access control have started to sh…

eess.SP2023

Downlink TDMA Scheduling for IRS-aided Communications with Block-Static Constraints

Alberto Rech, Matteo Pagin, Stefano Tomasin +5

Intelligent reflecting surfaces (IRSs) are being studied as possible low-cost energy-efficient alternatives to active relays, with the goal of solving the coverage issues of millim…

cs.NI2022

End-to-End Simulation of 5G Networks Assisted by IRS and AF Relays

Matteo Pagin, Marco Giordani, Amir Ashtari Gargari +5

The high propagation and penetration loss experienced at millimeter wave (mmWave) frequencies requires ultra-dense deployments of 5th generation (5G) base stations, which may be in…

cs.NI2021

Coordinated Random Access for Industrial IoT With Correlated Traffic By Reinforcement-Learning

Alberto Rech, Stefano Tomasin

We propose a coordinated random access scheme for industrial internet-of-things (IIoT) scenarios, with machine-type devices (MTDs) generating sporadic correlated traffic. This occu…

eess.SP2021

Maximum-Rate Optimization of Hybrid Intelligent Reflective Surface and Relay Systems

Alberto Rech, Federico Moretto, Stefano Tomasin

We consider a wireless communication system, where a transmitting source is assisted by both a reconfigurable intelligent reflecting surface (IRS) and a decode-and-forward half-dup…