6 citations · 12 across the 13 of their papers we have counts for
4 papers · 1 filter
Multi-Screaming-Channel Attacks: Frequency Diversity for Enhanced Attacks
Jeremy Guillaume, Maxime Pelcat, Amor Nafkha +1
Side-channel attacks consist of retrieving internal data from a victim system by analyzing its leakage, which usually requires proximity to the victim in the range of a few millime…
Federated Learning for Secure and Efficient Device Activity Detection in mMTC Networks
Ali Elkeshawy, Ibrahim Al Ghosh, Haifa Fares +1
Grant-free random access in massive machine-type communications enables low-latency connectivity with minimal signaling. However, sporadic device activation requires efficient devi…
Robust Learning-Based Sparse Recovery for Device Activity Detection in Grant-Free Random Access Cell-Free Massive MIMO: Enhancing Resilience to Impairments
Ali Elkeshawy, Haifa Fares, Amor Nafkha
Massive MIMO is considered a key enabler to support massive machine-type communication (mMTC). While massive access schemes have been extensively analyzed for co-located massive MI…
Lightweight Learning for Grant-Free Activity Detection in Cell-Free Massive MIMO Networks
Ali Elkeshawy, Haifa Fares, Amor Nafkha
Grant-free random access (GF-RA) is a promising access technique for massive machine-type communications (mMTC) in future wireless networks, particularly in the context of 5G and b…