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20212026
most citedSemantic Communications Services within Generalist Operated Networks

5 citations · 7 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

How Far Do Simple Transformations Translate Across Text Embedding Models?

Sid Ali Hamideche, Louis-Adrien Dufrène, Quentin Lampin +1

We investigate whether simple transformations can translate representations across heterogeneous text embedding models. Understanding how independently trained models organize sema…

cs.LG2026

Bridging the Data Gap: Digital Twin as a New Paradigm for AI-based Radio Sensing

Éloi Sainte-Beuve, Guillaume Larue, Louis-Adrien Dufrène +2

We present a methodology that places a 3D digital twin (DT) of the environment as the main enabler behind the development of radio sensing at scale. The DT acts as a world model, p…

cs.LG2026

Learning High-Dimensional Parity Functions with Product Networks using Gradient Descent

Guillaume Larue, Louis-Adrien Dufrène, Quentin Lampin +2

Parity functions are fundamental Boolean operations with critical applications across machine learning, cryptography, and error correction. Yet, learning high-dimensional parity fu…

eess.SP2025★ 2 cited

Learning Linear Block Codes with Gradient Quantization

Louis-Adrien Dufrène, Quentin Lampin, Guillaume Larue

This study investigates the problem of learning linear block codes optimized for Belief-Propagation decoders significantly improving performance compared to the state-of-the-art. O…

eess.SP2025

Dynamic Power Allocation in OFDM ISAC for Time of Arrival Estimation

Ali Al Khansa, Giyyarpuram Madhusudan, Guillaume Larue +1

Resource allocation in Integrated Sensing and Communication (ISAC) systems is critical for balancing communication and sensing performance. This paper introduces a novel dynamic po…

cs.NI2025★ 5 cited

Semantic Communications Services within Generalist Operated Networks

Quentin Lampin, Louis-Adrien Dufrène, Guillaume Larue

This paper addresses the challenge of integrating semantic communication principles into operated networks, traditionally optimized based on network-centric metrics rather than app…

cs.NI2024

Optimizing Energy Efficiency of 5G RedCap Beam Management for Smart Agriculture Applications

Manishika Rawat, Matteo Pagin, Marco Giordani +3

Beam management in 5G NR involves the transmission and reception of control signals such as Synchronization Signal Blocks (SSBs), crucial for tasks like initial access and/or chann…

cs.NI2023

Minimizing Energy Consumption for 5G NR Beam Management for RedCap Devices

Manishika Rawat, Matteo Pagin, Marco Giordani +3

In 5G New Radio (NR), beam management entails periodic and continuous transmission and reception of control signals in the form of synchronization signal blocks (SSBs), used to per…

cs.NI2021

5G NR-Light at Millimeter Waves: Design Guidelines for Mid-Market IoT Use Cases

Matteo Pagin, Tommaso Zugno, Marco Giordani +3

5th generation (5G) systems have been designed with three main objectives in mind: increasing throughput, reducing latency, and enabling reliable communications. To meet these (oft…