activity
20052026
most citedMassive Machine-type Communications in 5G: Physical and MAC-layer solutions

784 citations · 2.1k across the 91 of their papers we have counts for

collaborators
Showing 2025Show all

10 papers · 1 filter

cs.LG2025

Link-Aware Energy-Frugal Continual Learning for Fault Detection in IoT Networks

Henrik C. M. Frederiksen, Junya Shiraishi, Cedomir Stefanovic +2

The use of lightweight machine learning (ML) models in internet of things (IoT) networks enables resource constrained IoT devices to perform on-device inference for several critica…

cs.NI2025

ISAC-Powered Distributed Matching and Resource Allocation in Multi-band NTN

Israel Leyva-Mayorga, Shashi Raj Pandey, Petar Popovski +3

Scalability is a major challenge in non-geostationary orbit (NGSO) satellite networks due to the massive number of ground users sharing the limited sub-6 GHz spectrum. Using K- and…

cs.NI2025

Quantum Reinforcement Learning for 6G and Beyond Wireless Networks

Dinh-Hieu Tran, Thai Duong Nguyen, Thanh-Dao Nguyen +10

While 5G is being deployed worldwide, 6G is receiving increasing attention from researchers to meet the growing demand for higher data rates, lower latency, higher density, and sea…

cs.RO2025

Using Visual Language Models to Control Bionic Hands: Assessment of Object Perception and Grasp Inference

Ozan Karaali, Hossam Farag, Strahinja Dosen +1

This study examines the potential of utilizing Vision Language Models (VLMs) to improve the perceptual capabilities of semi-autonomous prosthetic hands. We introduce a unified benc…

cs.NI2025

Tree algorithms for set reconciliation

Francisco Lázaro, Čedomir Stefanović

In this work, a set reconciliation setting is considered in which two parties have similar sets that they would like to reconcile. In particular, we focus on a divide-and-conquer s…

cs.NI2025

Enabling Next-Generation Cloud-Connected Bionic Limbs Through 5G Connectivity

Ozan Karaali, Hossam Farag, Strahinja Dosen +1

Despite the recent advancements in human-machine interfacing, contemporary assistive bionic limbs face critical challenges, including limited computational capabilities, high laten…