Reliable Covert Communication in NOMA-Aided Cognitive Satellite Aerial Terrestrial Integrated Networks
NOMA-aided cognitive satellite aerial terrestrial integrated networks (CSATINs) are considered revolutionary and key technologies for 6G Internet of Things (6G-IoT), offering enhanced connectivity, high spectral efficiency, and broad coverage. In this article, we first establish trustworthy CSATINs with multiple aerial relays, aiming to achieve reliable communication in the presence of an eavesdropper. Then, to enhance the system’s covert performance, we propose an unmanned aerial vehicle scheduling scheme. Moreover, based on the established covert system model, we derive the closed-form expressions of detection error probability (DEP), covert outage probability (COP), and effective covert rate (ECR). Particularly, an optimization is proposed to enhance the covert performance of the considered system. Finally, Monte Carlo simulations are given to validate the correctness of the theoretical analysis, demonstrating that the reliability and covertness of the proposed system can be simultaneously enhanced by appropriately adjusting the power allocation coefficients, jamming power, and the transmission power of the satellite and UAVs.
Authors
- Kefeng Guo (ORCID: https://orcid.org/0000-0002-7535-2057)
- Keshav Singh (ORCID: https://orcid.org/0000-0001-9028-4518)
- Zeke Wu (ORCID: https://orcid.org/0000-0002-0815-9513)
- Ali Nauman (ORCID: https://orcid.org/0000-0002-2133-5286)
- Qihui Wu (ORCID: https://orcid.org/0000-0002-9521-5084)
- Lei Zhang (ORCID: https://orcid.org/0009-0006-2801-8984)
- Peilin Qi (ORCID: https://orcid.org/0009-0001-8951-810X)
Institutions
- National Sun Yat-sen University (TW)
- Space Engineering University (CN)
- Yeungnam University (KR)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- IEEE Internet of Things Journal
- Published
- 2025-08-25
- DOI
- https://doi.org/10.1109/jiot.2025.3602642
- Citations
- 2
- Primary Topic
- Satellite Communication Systems
- Type
- article
- Field-Weighted Citation Impact
- 9.99
Funders
- National Natural Science Foundation of China