Maximizing the Secrecy Energy Efficiency of the Cooperative Rate-Splitting Aided Downlink in Multi-Carrier UAV Networks

Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting eavesdropper's location, their limited energy motivates our research to propose a secure and efficient scheme. Thanks common-message philosophy introduced Rate-Splitting (RS), we no longer have allocate portion transmit power radiate Artificial Noise (AN), yet both Energy Efficiency (EE) secrecy can be improved. Hence define study Secrecy (SEE) multi-carrier multi-UAV network, in which Cooperative (CRS) is employed each multi-antenna UAV Base-Station (UAV-BS) for protecting downlink transmissions against an external eavesdropper ( $Eve$ ). Furthermore, consider challenging scenario CRS UAV-BS protect corresponding . We further difficult terms only imperfect channel state available at Tx. Accordingly, conceive robust resource allocation algorithm, maximizes SEE jointly optimizing user association matrix network parameter problem, including RS precoders, time slot sharing allocation. Due non-convexity it decoupled into pair convex sub-problems. Firstly, new two-tier intra-cell optimization problems formulated achieving notation="LaTeX">$\xi$ -optimal solutions iterative block coordinate decent programming. Then, sub-channel optimized formulating associated control problem.