Coexistence of URLLC and eMBB Services in the C-RAN Uplink: An Information-Theoretic Study. - Rahif Kassab; Osvaldo Simeone; Petar Popovski (GLOBECOM, 2018)

Heterogeneous Non-Orthogonal Multiple Access for Ultra-Reliable and Broadband Services in Multi-Cell Fog-RAN. - Rahif Kassab; Osvaldo Simeone; Petar Popovski; Toufiqul Islam (CoRR, 2018)

Non-Orthogonal eMBB-URLLC Radio Access for Cloud Radio Access Networks with Analog Fronthauling. - Andrea Matera; Rahif Kassab; Osvaldo Simeone; Umberto Spagnolini (Entropy, 2018)

Non-Orthogonal Multiplexing of Ultra-Reliable and Broadband Services in Fog-Radio Architectures. - Rahif Kassab; Osvaldo Simeone; Petar Popovski; Toufiqul Islam (IEEE Access, 2019)

Space Diversity-Based Grant-Free Random Access for Critical and Non-Critical IoT Services. - Rahif Kassab; Osvaldo Simeone; Andrea Munari; Federico Clazzer (ICC, 2020)

Multi-Agent Deep Stochastic Policy Gradient for Event Based Dynamic Spectrum Access. - Rahif Kassab; Apostolos Destounis; Dimitrios Tsilimantos; Mérouane Debbah (PIMRC, 2020)

Fog-Based Detection for Random-Access IoT Networks with Per-Measurement Preambles. - Rahif Kassab; Osvaldo Simeone; Petar Popovski (SPAWC, 2020)

Uncoordinated Grant-Free Radio Access via Diversity for Critical and Non-Critical IoT Services. - Rahif Kassab; Andrea Munari; Federico Clazzer; Osvaldo Simeone (CoRR, 2020)

Information-Centric Grant-Free Access for IoT Fog Networks: Edge vs. Cloud Detection and Learning. - Rahif Kassab; Osvaldo Simeone; Petar Popovski (IEEE Trans. Wirel. Commun., 2020)

Forget-SVGD: Particle-Based Bayesian Federated Unlearning. - Jinu Gong; Osvaldo Simeone; Rahif Kassab; Joonhyuk Kang (CoRR, 2021)

Communication-Efficient Federated Bayesian Learning via Client Selection. - Jiarong Yang; Yuan Liu 001; Rahif Kassab (GLOBECOM (Workshops), 2022)

Grant-Free Coexistence of Critical and Noncritical IoT Services in Two-Hop Satellite and Terrestrial Networks. - Rahif Kassab; Andrea Munari; Federico Clazzer; Osvaldo Simeone (IEEE Internet Things J., 2022)

Federated Generalized Bayesian Learning via Distributed Stein Variational Gradient Descent. - Rahif Kassab; Osvaldo Simeone (IEEE Trans. Signal Process., 2022)

Client Selection for Federated Bayesian Learning. - Jiarong Yang; Yuan Liu 001; Rahif Kassab (IEEE J. Sel. Areas Commun., 2023)