IEEE Future Networks World Forum
On-Demand through 15 November 2022

T9: Mixed Tracks (virtual)

13 October 2022// 14:00 -15:30 // Virtual


  • Aloizio Pereira da Silva, Virginia Tech
  • Shannon K. Gallagher, Software Engineering Institute, USA


Jamming Attacks on NextG Radio Access Network Slicing with Reinforcement Learning – Yi Shi, Yalin E Sagduyu and Tugba Erpek (Virginia Tech, USA); M. Cenk Gursoy (Syracuse University, USA)

Reviewing the role of machine learning and artificial intelligence for remote attestation in 5G+ networks – Shannon K Gallagher and Anton Hristozov (Software Engineering Institute, USA); Amit Vasudevan (CMU, USA); Austin Whisnant (Software Engineering Institute, USA)

Multi-Stage, Dynamic Optimization of Wireless Network Slices with Polymorphic Algorithms – Kristen Young and Ravi Potluri (Verizon, USA); Jin Yang (Verizon Wireless, USA)

SDAC: An Architectural Enhancement to enable Artificial Intelligence in 5G Systems – Morteza Kheirkhah (Interdigital, United Kingdom (Great Britain) & University College London, United Kingdom (Great Britain)); Ulises Olvera-Hernandez (InterDigital Communications, United Kingdom (Great Britain)); Tezcan Cogalan and Alain Abdel-Majid Mourad (InterDigital, United Kingdom (Great Britain))

Hybrid Deep Learning for Channel Estimation and Power Allocation for MISO-NOMA System – Mohammad Gaballa (Brunel University London, United Kingdom (Great Britain)) // (Note: This paper has been accepted in Symposium S9: Symposium on AI/ML-Driven Communications click here)

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