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RIS-Assisted Joint UAV Trajectory and Power Optimization in the Presence of Untrusted Energy Harvesting Receivers

Saeedinezhad Anari, Amir Hesam | 2025

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  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 58378 (05)
  4. University: Sharif University of Technology
  5. Department: Electrical Engineering
  6. Advisor(s): Behroozi, Hamid
  7. Abstract:
  8. In this thesis, we take into account a heterogeneous network comprising of both untrusted energy harvesting receivers (UEHRs) and information receiving nodes. Our aim is to securely transmit information-bearing signals from a multi-antenna base station to multiple legitimate users, while simultaneously providing the required energy of UEHRs. In other words, the UEHRs need to receive a minimum required energy to work, however, they might be curious about the signals sent from the BS. Accordingly, we propose a secure rate-splitting multiple access (RSMA)-based technique to facilitate the procedure of serving information receiving nodes, while keeping the useful information secret from UEHRs. We also utilize a hovering unmanned aerial vehicle (UAV) in our system, which is equipped with an intelligent reflecting surface (IRS) to be able to reliably serve the users with the security requirement. In this regard, an optimization framework for joint trajectory and rate splitting (RS) signal design is proposed with the objective of maximizing fairness secrecy energy efficiency. We then solve our proposed framework via dynamic programming by decomposing it into related sub-problems and utilizing sequential convex programming (SCP) method
  9. Keywords:
  10. Rate Splitting Multiple Access ; Unmanned Aerial Vehicles (UAV) ; Secrecy Rate ; 6th Communication Networks ; 5th Generation Cellular Network ; Untrusted Energy Harvesting Receivers (UEHR) ; Intelligent Reflecting Surface (IRS) ; Sequential Convex Programming (SCP) Method

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