Loading...

Maximizing the secrecy energy efficiency of the cooperative rate-splitting aided downlink in multi-carrier uav networks

Bastami, H ; Sharif University of Technology | 2022

71 Viewed
  1. Type of Document: Article
  2. DOI: 10.1109/TVT.2022.3192298
  3. Publisher: Institute of Electrical and Electronics Engineers Inc , 2022
  4. Abstract:
  5. Although Unmanned Aerial Vehicles (UAVs) are capable of significantly improving the information security by detecting the eavesdropper's location, their limited energy motivates our research to propose a secure and energy efficient scheme. Thanks to the common-message philosophy introduced by Rate-Splitting (RS), we no longer have to allocate a portion of the transmit power to radiate Artificial Noise (AN), and yet both the Energy Efficiency (EE) and secrecy can be improved. Hence we define and study the Secrecy Energy Efficiency (SEE) of a multi-carrier multi-UAV network, in which Cooperative Rate-Splitting (CRS) is employed by each multi-antenna UAV Base-Station (UAV-BS) for protecting their downlink transmissions against an external eavesdropper ($Eve$). Furthermore, we consider the challenging scenario in which CRS is employed by each multi-antenna UAV-BS to protect their corresponding downlink transmissions against an external $Eve$. We further consider a difficult scenario in terms of security in which only imperfect channel state information of $Eve$ is available at the Tx. Accordingly, we conceive a robust secure resource allocation algorithm, which maximizes the SEE by jointly optimizing both the user association matrix and the network parameter allocation problem, including the RS precoders, time slot sharing and power allocation. Due to the non-convexity of the problem, it is decoupled into a pair of convex sub-problems. Firstly, new two-tier intra-cell optimization problems are formulated for achieving $xi$-optimal solutions by iterative block coordinate decent programming. Then, the power of each sub-channel is optimized by formulating the associated power control problem. © 1967-2012 IEEE
  6. Keywords:
  7. Cellular UAV networks ; Imperfect CSIT ; Physical layer security ; Rate splitting ; Robust beamforming ; Secrecy energy efficiency ; Worst-case optimization ; Antennas ; Channel state information ; Iterative methods ; Network layers ; Network security ; Optimization ; Power control ; Resource allocation ; Signal to noise ratio ; Unmanned aerial vehicles (UAV) ; Aerial vehicle ; Bad-case optimization ; Cellular unmanned aerial vehicle network ; Cellulars ; Downlink ; Imperfect CSIT ; NOMA ; Optimisations ; Physical layer security ; Rate splitting ; Resource management ; Robust beamforming ; Secrecy energy efficiency ; Security ; Vehicle network ; Energy efficiency
  8. Source: IEEE Transactions on Vehicular Technology ; Volume 71, Issue 11 , 2022 , Pages 11803-11819 ; 00189545 (ISSN)
  9. URL: https://ieeexplore.ieee.org/document/9833316