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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  • [1]
    M. Jia, X. Gu, Q. Guo, et al., “Broadband hybrid satellite-terrestrial communication systems based on cognitive radio toward 5G,” IEEE Wireless Commun., vol.23, no.6, pp.96–106, 2016. doi: 10.1109/MWC.2016.1500108WC
    [2]
    K. Guo, K. An, B. Zhang, et al., “Physical layer security for multiuser satellite communication systems with threshold-based scheduling scheme,” IEEE Trans. Vehi. Tech., vol.69, no.5, pp.5129–5141, 2020. doi: 10.1109/TVT.2020.2979496
    [3]
    M. Jia, X. Zhang, J. Sun, et al., “Intelligent resource management for satellite and terrestrial spectrum shared networking toward B5G,” IEEE Wireless Commun., vol.27, no.1, pp.54–61, 2020. doi: 10.1109/MWC.001.1900238
    [4]
    C. Dong, Y. Shen, Y. Qu, et al., “UAVs as an intelligent service: boosting edge intelligence for air-ground integrated networks,” IEEE Netw., vol.35, no.4, pp.167–175, 2021. doi: 10.1109/MNET.011.2000651
    [5]
    X. Li, Q. Wang, Y. Liu, et al., “UAV-aided multi-way NOMA networks with residual hardware impairments,” IEEE Wireless Communi. Lett., vol.9, no.9, pp.1538–1542, 2020. doi: 10.1109/LWC.2020.2996782
    [6]
    J. Chen, Q. Wu, Y. Xu, et al., “Spectrum allocation for task-driven UAV communication networks exploiting game theory,” IEEE Trans. Commun., vol.28, no.4, pp.174–181, 2021. doi: 10.1109/MWC.001.2000444
    [7]
    Q. Wu, G. Ding, Y. Xu, et al., “Cognitive internet of things: A new paradigm beyond connection,” IEEE Internet Things J., vol.1, no.2, pp.129–143, 2014. doi: 10.1109/JIOT.2014.2311513
    [8]
    X. Zhang, B. Zhang, K. An, et al., “Stochastic geometry-based analysis of cache-enabled hybrid satellite-aerial-terrestrial networks with non-orthogonal multiple access,” IEEE Trans. Wireless Communi., vol.21, no.2, pp.1272–1287, 2022. doi: 10.1109/TWC.2021.3103499
    [9]
    Z. Lin, M. Lin, W. -P. Zhu, et al., “Robust secure beamforming for wireless powered cognitive satellite-terrestrial networks,” IEEE Trans. Cogn. Commun., vol.7, no.2, pp.567–580, 2021. doi: 10.1109/TCCN.2020.3016096
    [10]
    X. Zhang, D. Guo, K. An, et al., “Auction-based multichannel cooperative spectrum sharing in hybrid satellite-terrestrial IoT networks,” IEEE Internet Things J., vol.8, no.8, pp.7009–7023, 2021. doi: 10.1109/JIOT.2020.3037408
    [11]
    K. Guo, M. Lin, B. Zhang, et al., “On the performance of LMS communication with hardware impairments and interference,” IEEE Trans. Commun., vol.67, no.2, pp.1490–1505, 2019. doi: 10.1109/TCOMM.2018.2878848
    [12]
    Q. Huang, M. Lin, W. -P. Zhu, et al., “Performance analysis of integrated satellite-terrestrial multiantenna relay networks with multiuser scheduling,” IEEE Trans. Aerosp. Electron. Syst., vol.56, no.4, pp.2718–2731, 2020. doi: 10.1109/TAES.2019.2952698
    [13]
    M. Lin, Q. Huang, T. de Cola, et al., “Integrated 5G-satellite networks: A perspective on physical layer reliability and security,” IEEE Wireless Commun., vol.27, no.6, pp.152–159, 2020. doi: 10.1109/MWC.001.2000143
    [14]
    K. An and T. Liang, “Hybrid satellite-terrestrial relay networks with adaptive transmission,” IEEE Trans. Vehi. Tech., vol.68, no.12, pp.12448–12452, 2019. doi: 10.1109/TVT.2019.2944883
    [15]
    K. An, Y. Li, X. Yan, and T. Liang, “On the performance of cache-enabled hybrid satellite-terrestrial relay networks,” IEEE Wireless Commun. Lett., vol.8, no.5, pp.1506–1509, 2019. doi: 10.1109/LWC.2019.2924631
    [16]
    K. Guo, K. An, B. Zhang, Y. Huang, et al., “On the performance of the uplink satellite multi-terrestrial relay networks with hardware impairments and interference,” IEEE Syst. J., vol.13, no.3, pp.2297–2308, 2019. doi: 10.1109/JSYST.2019.2901800
    [17]
    Q. Huang, M. Lin, J. Wang, T. A. Tsiftsis, et al., “Energy efficient beamforming schemes for satellite-aerial-terrestrial networks,” IEEE Trans. Commun., vol.68, no.6, pp.3863–3875, 2020. doi: 10.1109/TCOMM.2020.2978044
    [18]
    X. Liu, Y. Liu, and Y. Chen, “Machine learning empowered trajectory and passive beamforming design in UAV-RIS wireless networks,” IEEE J. Sel. Areas Commun., vol.39, no.7, article no.2055, 2021.
    [19]
    Z. Xiao, L. Zhu, and X. -G. Xia, “UAV communications with millimeter-wave beamforming: Potentials, scenarios, and challenges,” China Communi., vol.17, no.9, pp.147–166, 2020. doi: 10.23919/JCC.2020.09.012
    [20]
    L. Zhu, J. Zhang, Z. Xiao, et al., “Millimeter-wave full-duplex UAV relay: Joint positioning, beamforming, and power control,” IEEE J. Sel. Areas Commun., vol.38, no.9, pp.2057–2073, 2020. doi: 10.1109/JSAC.2020.3000879
    [21]
    Z. Lin, M. Lin, T. de Cola, J. -B. Wang, et al., “Supporting IoT with rate-splitting multiple access in satellite and aerial-integrated networks,” IEEE Internet Things J., vol.8, no.14, pp.11123–11134, 2021. doi: 10.1109/JIOT.2021.3051603
    [22]
    Z. Lin, M. Lin, B. Champagne, et al., “Secure and energy efficient transmission for RSMA-based cognitive satellite-terrestrial networks,” IEEE Wireless Communi. Lett., vol.10, no.2, pp.251–255, 2021. doi: 10.1109/LWC.2020.3026700
    [23]
    Y. Qu, H. Dai, H. Wang, et al., “Service provisioning for UAV-enabled mobile edge computing,” IEEE J. Sel. Areas Commun., vol.39, no.11, pp.3287–3305, 2021. doi: 10.1109/JSAC.2021.3088660
    [24]
    J. Cui, Y. Liu, and A. Nallanathan, “Multi-agent reinforcement learning-based resource allocation for UAV networks,” IEEE Trans. Wireless Commun., vol.19, no.2, pp.729–743, 2020. doi: 10.1109/TWC.2019.2935201
    [25]
    J. Chen, P. Chen, Q. Wu, et al., “A game-theoretic perspective on resource management for large-scale UAV communication networks,” China Commun., vol.18, no.1, pp.70–87, 2021. doi: 10.23919/JCC.2021.01.007
    [26]
    P. K. Sharma, P. K. Upadhyay, D. B. da Costa, et al., “Performance analysis of overlay spectrum sharing in hybrid satellite-terrestrial systems with secondary network selection,” IEEE Trans. Wireless Commun., vol.16, no.10, pp.6586–6601, 2017. doi: 10.1109/TWC.2017.2725950
    [27]
    Y. Ruan, Y. Li, C. Wang, R. Zhang, et al., “Power allocation in cognitive satellite-vehicular networks from energy-spectral efficiency tradeoff perspective,” IEEE Trans. Cogn. Commun., vol.5, no.2, pp.318–329, 2019. doi: 10.1109/TCCN.2019.2905199
    [28]
    Y. Ruan, Y. Li, C. Wang, and R. Zhang, “Energy efficient adaptive transmissions in integrated satellite-terrestrial networks with SER constraints,” IEEE Trans. Wireless Commun., vol.17, no.1, pp.210–222, 2018. doi: 10.1109/TWC.2017.2764472
    [29]
    M. Lin, Z. Lin, W. Zhu, and J. Wang, “Joint beamforming for secure communication in cognitive satellite terrestrial networks,” IEEE J. Sel. Areas Commun., vol.36, no.5, pp.1017–1029, 2018. doi: 10.1109/JSAC.2018.2832819
    [30]
    Z. Lin, M. Lin, B. Champagne, et al., “Secure beamforming for cognitive satellite terrestrial networks with unknown eavesdroppers,” IEEE Syst. J., vol.15, no.2, pp.2186–2189, 2021. doi: 10.1109/JSYST.2020.2983309
    [31]
    L. Zhu, J. Zhang, Z. Xiao, X. Cao, et al., “Millimeter-wave NOMA with user grouping, power allocation and hybrid beamforming,” IEEE Trans. Wireless Communi., vol.18, no.11, pp.5065–5079, 2019. doi: 10.1109/TWC.2019.2932070
    [32]
    L. Zhu, J. Zhang, Z. Xiao, X. Cao, and D. O. Wu, “Optimal user pairing for downlink non-orthogonal multiple access (NOMA),” IEEE Wireless Commun. lett., vol.8, no.2, pp.328–331, 2019. doi: 10.1109/LWC.2018.2853741
    [33]
    X. Zhang, K. An, B. Zhang, et al., “Vickrey auction-based secondary relay selection in cognitive hybrid satellite-terrestrial overlay networks with non-orthogonal multiple access,” IEEE Wireless. Commun. Lett., vol.9, no.5, pp.628–632, 2020. doi: 10.1109/LWC.2019.2963863
    [34]
    X. Zhang, B. Zhang, K. An, et al., “Outage performance of NOMA-based cognitive hybrid satellite-terrestrial overlay networks by amplify-and-forward protocols,” IEEE Access, vol.7, pp.85372–85381, 2019. doi: 10.1109/ACCESS.2019.2925314
    [35]
    M. Jia, Q. Gao, Q. Guo, X. Gu, and X. Shen, “Power multiplexing NOMA and bandwidth compression for satellite-terrestrial networks,” IEEE Trans. Vehi. Tech., vol.68, no.11, pp.11107–11117, 2019. doi: 10.1109/TVT.2019.2944077
    [36]
    X. Yue, Y. Liu, Y. Yao, T. Li, et al., “Outage behaviors of NOMA-based satellite network over shadowed-rician fading channels,” IEEE Trans. Vehi. Tech., vol.69, no.6, pp.6818–6821, 2020. doi: 10.1109/TVT.2020.2988026
    [37]
    K. Guo, K. An, F. Zhou, T. Tsiftsis, et al., “On the secrecy performance of NOMA-based integrated satellite multiple-terrestrial relay networks with hardware impairments,” IEEE Trans. Vehi. Tech., vol.70, no.4, pp.3661–3676, 2021. doi: 10.1109/TVT.2021.3068062
    [38]
    R. Liu, K. Guo, K. An, S. Zhu, et al., “NOMA-based integrated satellite-terrestrial relay networks under spectrum sharing environment,” IEEE Wireless Commun. Lett., vol.10, no.6, pp.1266–1270, 2021. doi: 10.1109/LWC.2021.3063759
    [39]
    R. Liu, K. Guo, K. An, S. Zhu, et al., “Performance evaluation of NOMA-based cognitive integrated satellite terrestrial relay networks with primary interference,” IEEE Access, vol.9, pp.71422–71434, 2021. doi: 10.1109/ACCESS.2021.3078630
    [40]
    M. K. Arti, “Channel estimation and detection in satellite communication systems,” IEEE Trans. Vehi. Tech., vol.65, no.12, pp.10173–10179, 2016. doi: 10.1109/TVT.2016.2529661
    [41]
    M. R. Bhatnagar, “Making two-way satellite relaying feasible: A differential modulation based approach,” IEEE Trans. Commun., vol.63, no.8, pp.2836–2847, 2015. doi: 10.1109/TCOMM.2015.2433915
    [42]
    N. I. Miridakis, D. D. Vergados, and A. Michalas, “Dual-hop communication over a satellite relay and Shadowed Rician channels,” IEEE Trans. Vehi. Tech., vol.64, no.9, pp.4031–4040, 2015. doi: 10.1109/TVT.2014.2361832
    [43]
    Wolfram Research, Inc., “The mathematical functions site,” Available at: http://functions.wolfram.com, 2021.
    [44]
    I. S. Gradshteyn, I. M. Ryzhik, A. Jeffrey, et al., Table of Integrals, Series and Products, 7th ed., Amsterdam, Elsevier, Boston, Massachusetts, USA, 2007.
    [45]
    G. Farhadi and N. C. Beaulieu, “On the ergodic capacity of multi-hop wireless relaying systems,” IEEE Trans. Wireless Commun., vol.8, no.8, pp.2286–2291, 2009.
    [46]
    A. P. Prudnikov, Y. A. Brychkov, and O. I. Marichev, Integrals and Series, Volume 3: More Special Functions, Gordon and Breach Science Publishers, New York, USA, 1990.
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