activity
20242026
collaborators

8 papers

eess.SY2026

Advanced AI Service Provisioning in O-RAN through LLM Engine Integration

Seyed Bagher Hashemi Natanzi, Pranshav Gajjar, Bo Tang +1

The Open Radio Access Network (O-RAN) architecture allows AI to be embedded directly into the RAN through modular xApps and rApps, yet creating these applications collecting data,…

cs.NI2026

SliceFed: Federated Constrained Multi-Agent DRL for Dynamic Spectrum Slicing in 6G

Hossein Mohammadi, Seyed Bagher Hashemi Natanzi, Ramak Nassiri +3

Dynamic spectrum slicing is a critical enabler for 6G Radio Access Networks (RANs), allowing the coexistence of heterogeneous services. However, optimizing resource allocation in d…

eess.SP2026

AI-Driven Fuzzing for Vulnerability Assessment of 5G Traffic Steering Algorithms

Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Bo Tang +1

Traffic Steering (TS) dynamically allocates user traffic across cells to enhance Quality of Experience (QoE), load balance, and spectrum efficiency in 5G networks. However, TS algo…

cs.NI2026

FairShare: Auditable Geographic Fairness for Multi-Operator LEO Spectrum Sharing

Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Vuk Marojevic +1

Dynamic spectrum sharing (DSS) among multi-operator low Earth orbit (LEO) mega-constellations is essential for coexistence, yet prevailing policies focus almost exclusively on inte…

eess.SP2025

Secure mmWave Beamforming with Proactive-ISAC Defense Against Beam-Stealing Attacks

Seyed Bagher Hashemi Natanzi, Hossein Mohammadi, Bo Tang +1

Millimeter-wave (mmWave) communication systems face increasing susceptibility to advanced beam-stealing attacks, posing a significant physical layer security threat. This paper int…

cs.NI2025

Mobile Jamming Mitigation in 5G Networks: A MUSIC-Based Adaptive Beamforming Approach

Olivia Holguin, Rachel Donati, Seyed bagher Hashemi Natanzi +1

Mobile jammers pose a critical threat to 5G networks, particularly in military communications. We propose an intelligent anti-jamming framework that integrates Multiple Signal Clas…