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20132024
most citedMachine Learning for Wireless Communications in the Internet of Things: A Comprehensive Survey

301 citations · 1.9k across the 75 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.NI2024★ 9 cited

Design and Performance Evaluation of SEANet, a Software-defined Networking Platform for the Internet of Underwater Things

Deniz Unal, Sara Falleni, Kerem Enhos +3

This paper presents the design and performance evaluation of the SEANet platform, a software-defined acoustic modem designed for enhancing underwater networking and Internet of Und…

cs.NI2024★ 1 cited

Sharing Spectrum and Services in the 7-24 GHz Upper Midband

Paolo Testolina, Michele Polese, Tommaso Melodia

The upper midband, spanning 7 to 24 GHz, strikes a good balance between large bandwidths and favorable propagation environments for future 6th Generation (6G) networks. Wireless ne…

cs.NI2024

Stitching the Spectrum: Semantic Spectrum Segmentation with Wideband Signal Stitching

Daniel Uvaydov, Milin Zhang, Clifton Paul Robinson +3

Spectrum has become an extremely scarce and congested resource. As a consequence, spectrum sensing enables the coexistence of different wireless technologies in shared spectrum ban…

cs.NI2024

ScalO-RAN: Energy-aware Network Intelligence Scaling in Open RAN

Stefano Maxenti, Salvatore D'Oro, Leonardo Bonati +3

Network virtualization, software-defined infrastructure, and orchestration are pivotal elements in contemporary networks, yielding new vectors for optimization and novel capabiliti…

cs.LG2024★ 6 cited

SeizNet: An AI-enabled Implantable Sensor Network System for Seizure Prediction

Ali Saeizadeh, Douglas Schonholtz, Daniel Uvaydov +6

In this paper, we introduce SeizNet, a closed-loop system for predicting epileptic seizures through the use of Deep Learning (DL) method and implantable sensor networks. While phar…

cs.NI2024

DeepSweep: Parallel and Scalable Spectrum Sensing via Convolutional Neural Networks

Clifton Paul Robinson, Daniel Uvaydov, Salvatore D'Oro +1

Spectrum sensing is an essential component of modern wireless networks as it offers a tool to characterize spectrum usage and better utilize it. Deep Learning (DL) has become one o…

cs.NI2024★ 30 cited

DRL-based Latency-Aware Network Slicing in O-RAN with Time-Varying SLAs

Raoul Raftopoulos, Salvatore D'Oro, Tommaso Melodia +1

The Open Radio Access Network (Open RAN) paradigm, and its reference architecture proposed by the O-RAN Alliance, is paving the way toward open, interoperable, observable and truly…