Preeti Samhita Pati

Biography

Preeti Samhita Pati is a Research Engineer in the Radio Systems Research group at Nokia Bell Labs, where she focuses on AI-RAN techniques for future 6G systems. Her current research centers on intelligent radio resource management, including control-channel scheduling and joint control-and-data channel scheduling, with the goal of enhancing network efficiency, adaptability, and automation. Her broader research interests span AI-assisted RAN optimization, energy-aware network operation, edge intelligence, QoS/QoE-aware resource management, and other emerging technologies shaping next-generation 6G networks.

Before joining Bell Labs, Preeti worked as a Standardization Researcher at Nippon Electric Company, contributing to 3GPP RAN2 activities for 5G-Advanced and beyond. Her work covered AI/ML-driven mobility management, network energy-saving solutions, and signaling aspects for ISAC-based target detection. She contributed to technical documents and patent proposals on predictive mobility mechanisms, AI/ML-based measurement event prediction, performance monitoring, signaling reduction, and sustainable RAN operation. Prior to NEC, she was involved in a Government of India Beyond 5G standardization project, contributing to ITU-T SG15 activities. Her work focused on wireless and fronthaul scheduling for CoMP operation in future 6G networks, enabling efficient resource coordination between optical fronthaul and wireless access systems. These contributions were well recognized and incorporated into ITU standardization.

Preeti received her Ph.D. in Communication Networking from the Department of Electronics and Electrical Communication Engineering at the Indian Institute of Technology (IIT) Kharagpur in 2025. Her doctoral research addressed resource allocation challenges for diverse service requests in B5G networks, particularly in constrained edge-network environments. Her contributions include priority-aware resource sharing, intelligent admission control, QoS-aware service function chain resource allocation, and real-time throughput modeling through a Sigmoid Approximation Model for B5G systems. Her research has resulted in publications in leading IEEE journals and conferences, patent filings, and contributions to standardization efforts.