4 papers
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…
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…
Deep Learning-Based Approach for User Activity Detection with Grant-Free Random Access in Cell-Free Massive MIMO
Ali Elkeshawy, HaÃfa Farès, Amor Nafkha
Modern wireless networks must reliably support a wide array of connectivity demands, encompassing various user needs across diverse scenarios. Machine-Type Communication (mMTC) is…