Research project 2025–Present
Integrated Sensing and Communications for 6G
A research program developing physical-layer security solutions for Integrated Sensing and Communications (ISAC) systems, using Stackelberg game theory and deep reinforcement learning to protect dual-function base stations against intelligent mobile adversaries.
- Role
- Independent Researcher
Overview
This research program addresses the physical-layer security of Integrated Sensing and Communications (ISAC) systems, where a dual-function base station simultaneously communicates with legitimate users and senses the environment — all under the threat of active adversarial actors. The work spans game-theoretic modeling, joint resource optimization, and learning-based solutions.
The work spans game-theoretic modeling, joint resource optimization, and learning-based solutions. Specifically, the adversarial interaction is modeled as a Stackelberg game and solved via a DRL agent that learns optimal beamforming and sensing policies without requiring the adversary’s instantaneous CSI.
Technical Contributions
- Milad Tatar Mamaghani, Xiangyun Zhou, Nan Yang, and A. Lee Swindlehurst, “Securing Integrated Sensing and Communication Against a Mobile Adversary: A Stackelberg Game with Deep Reinforcement Learning,” IEEE Journal on Selected Areas in Communications, vol. 44, pp. 942–958, Sept. 2025.