Secure Aerial Communication with Unknown Ground Moving Eavesdropper
The advent of sixth-generation (6G) wireless communication technology promises significant advancements, with unmanned aerial vehicles (UAVs) emerging as one of its key technologies. UAVs offer the capability to enhance coverage and bridge connectivity gaps in underserved regions, establishing line-of-sight (LOS) connections with ground users (GUs) for efficient data exchange. However, this advantage makes UAVs susceptible to eavesdropping. Current research has primarily focused on optimizing UAV-based communication but lacks strategies for scenarios involving unknown ground moving eavesdroppers. This thesis investigates the optimization of secure air-to-ground communications using synthetic aperture radar (SAR)-based real-time tracking information of potential ground moving eavesdroppers. The study encompasses the role of UAVs as relays, aiming to enhance communication security and efficiency in dynamic environments.
Guidelines for the project
- Conduct a literature survey
- Model the above described system
- Formulate an optimisation framework for secure aerial communication with the GUs
- Propose a solution for the formulated problem
Prerequisites
- Interest in communications and sensing
- Basic knowledge of convex optimisation
- Experience in a programming language (Python and/or MATLAB)
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