Volume 32 Issue 2
Mar.  2023
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GUO Kefeng, LIU Rui, DONG Chao, et al., “Ergodic Capacity of NOMA-Based Overlay Cognitive Integrated Satellite-UAV-Terrestrial Networks,” Chinese Journal of Electronics, vol. 32, no. 2, pp. 273-282, 2023, doi: 10.23919/cje.2021.00.316
Citation: GUO Kefeng, LIU Rui, DONG Chao, et al., “Ergodic Capacity of NOMA-Based Overlay Cognitive Integrated Satellite-UAV-Terrestrial Networks,” Chinese Journal of Electronics, vol. 32, no. 2, pp. 273-282, 2023, doi: 10.23919/cje.2021.00.316

Ergodic Capacity of NOMA-Based Overlay Cognitive Integrated Satellite-UAV-Terrestrial Networks

doi: 10.23919/cje.2021.00.316
Funds:  This work was supported by the National Natural Science Foundation of China (61901502, 62001517, 61971474), National Postdoctoral Program for Innovative Talents (BX20200101), and Beijing Nova Program (Z201100006820121)
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  • Author Bio:

    Kefeng GUO received the B.S. degree from Beijing Institute of Technology, Beijing, China, in 2012, the M.S. degree from PLA University of Science and Technology, Nanjing, China, in 2015, and the Ph.D. degree in Army Engineering University of PLA in 2018. He is an Associate Professor in the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics. His research interests focus on cooperative relay networks, MIMO communications systems, multiuser communication systems, satellite communication, hardware impairments, cognitive radio and physical layer security. Dr. Guo has been the TPC Member of many IEEE sponsored conferences, such as IEEE ICC, IEEE GLOBECOM and IEEE WCNC. (Email: guokefeng.cool@163.com)

    Rui LIU received the B.S. degree from Space Engineering University, Beijing, China, in 2019. He is currently working toward the Ph.D. degree in Space Engineering University. His research interests focus on satellite-terrestrial networks, cognitive radio systems, wireless communication systems, and multiuser communication system. (Email: lrevri@163.com)

    Chao DONG received the Ph.D. degree in communication engineering from PLA University of Science and Technology, China, in 2007. He is now a Full Professor with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, China. His current research interests include D2D, UAV networking, and anti-jamming. (Email: dch@nuaa.edu.cn)

    Kang AN received the B.S. degree from Nanjing University of Aeronautics and Astronautics, Nanjing, China, in 2011, the M.S. degree from the PLA University of Science and Technology, Nanjing, China, and the Ph.D. degree in Army Engineering University of PLA in 2017. He is currently an Engineer in the Sixty-third Research Institute, National University of Defense Technology, Nanjing. His research interests include cooperative communication, satellite communication, cognitive radio and physical layer security. (Email: ankang89@nudt.edu.cn)

    Yuzhen HUANG received the B.S. degree in communications engineering and the Ph.D. degree in communications and information systems from the College of Communications Engineering, PLA University of Science and Technology, Nanjing, China, in 2008 and 2013, respectively. Since 2018, he has been with the Artificial Intelligence Research Center, National Innovation Institute of Defense Technology, Beijing, China, where he is currently an Associate Professor. He is also a Postdoctoral Research Associate with the School of Information and Communication, Beijing University of Posts and Telecommunications, Beijing. He has authored or coauthored nearly 90 research papers in international journals and conferences. His research interests include channel coding, MIMO communications systems, cooperative communications, physical layer security, and cognitive radio systems. He and his coauthors were awarded a Best Paper Award at the WCSP 2013. He was the recipient of an IEEE Communications Letters Exemplary Reviewer Certificate for 2014. He is an Associate Editor for the KSII Transactions on Internet and Information Systems. (Email: yzh_huang@sina.com)

    Shibing ZHU received the B.S. degree from Equipment College, Beijing, China, in 1992, the M.S. degree from National Defense University, Beijing, China, in 1997, and the Ph.D. degree from the Wuhan University of Technology, Wuhan China, in 2009. He is currently a Professor and a Doctoral Supervisor in Space Engineering University. His current research interests include spatial information network and security, and 5G mobile communication. (Email: sbz_zhu@sohu.com)

  • Received Date: 2021-08-30
  • Accepted Date: 2022-07-18
  • Available Online: 2022-08-09
  • Publish Date: 2023-03-05
  • Satellite communication has become a popular study topic owing to its inherent advantages of high capacity, large coverage, and no terrain restrictions. Also, it can be combined with terrestrial communication to overcome the shortcomings of current wireless communication, such as limited coverage and high destructibility. In recent years, the integrated satellite-unmanned aerial vehicle-terrestrial networks (IS-UAV-TNs) have aroused tremendous interests to effectively reduce the transmission latency and enhance quality-of-service with improved spectrum efficiency. However, the rapidly growing access demands and conventional spectrum allocation scheme lead to the shortage of spectrum resources. To tackle the mentioned challenge, the non-orthogonal multiple access (NOMA) scheme and cognitive radio technique are utilized in IS-UAV-TN, which can improve spectrum utilization. In our paper, the transmission capacity of an NOMA-enabled IS-UAV-TN under overlay mode is discussed, specifically, we derive the closed-form expressions of ergodic capacity for both primary and secondary networks. Besides, simulation results are provided to demonstrate the validity of the mathematical derivations and indicate the influences of critical system parameters on transmission performance. Furthermore, the orthogonal multiple access (OMA)-based scheme is compared with our NOMA-based scheme as a benchmark, which illustrates that our proposed scheme has better performance.
  • The scenario of CIS-UAV-TN may be represented as follows: $ S $ is a geostationary orbit (GEO) satellite, $ U_i $ denotes equipment for DVB-SH, while $ R $ and $ D $ are UAV base station and user established due to temporary activities, which is not allocated authorized spectrum.
    The utilization of the single antenna is to reduce the complexity of the system, and our research can be easily extended to multi-antenna scenarios, which will be analyzed in our future work.
    Two-user group scheme can reduce user interference and complexity of receivers. At the same time, this paper can be extended to multi-user scenarios, which only needs to divide multi-user into two-user pairs.
    This assumption is reasonable and has been adopted in DVB-S2. Besides, our main motivation is to investigate the EC of the proposed system, and the case of imperfect CSI will be considered in our future work.
    SR fading can well model satellite-UAV and satellite-terrestrial links due to its accuracy and easy calculation [17]. Moreover, Nakagami-m fading can simulate a variety of wireless fading channels by adjusting channel fading parameters $ m $ [26].
    The received signals of two phases are combined in $ U_i $ by utilizing maximal-ratio combining (MRC).
    Imperfect SIC is beyond the research scope of this paper. We will consider it in our follow-up research.
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