Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs

LI Xingwang; GAO Xuesong; LIU Yingting; HUANG Gaojian; ZENG Ming; QIAO Dawei

doi:10.23919/cje.2022.00.071

Volume 32 Issue 6

Nov. 2023

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LI Xingwang, GAO Xuesong, LIU Yingting, et al., “Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs,” Chinese Journal of Electronics, vol. 32, no. 6, pp. 1258-1270, 2023, doi: 10.23919/cje.2022.00.071

Citation:

LI Xingwang, GAO Xuesong, LIU Yingting, et al., “Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs,” Chinese Journal of Electronics, vol. 32, no. 6, pp. 1258-1270, 2023, doi: 10.23919/cje.2022.00.071

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Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs

doi: 10.23919/cje.2022.00.071

LI Xingwang^1
,,
GAO Xuesong^1
,,
LIU Yingting^{2, 3, 4
,},
HUANG Gaojian^1
,,
ZENG Ming^5
,,
QIAO Dawei^6
,

1.
Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
2.
School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
3.
State Grid Gansu Electric Power Research Institute, Lanzhou 730070, China
4.
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
5.
Department of Electrical and Computer Engineering, Laval University, Quebec City QC G1V 0A6, Canada
6.
School of Emergency Management, Henan Polytechnic University, Jiaozuo 454003, China

Funds: This work was supported by the Key Project of Guizhou Science and Technology Support Program through Grant Guizhou Key Science and Support ([2021]-001), the Doctoral Fund of Henan Polytechnic University (B2022-2), the National Natural Science Foundation of China (62171146, 61861041), the Natural Science Foundation of Gansu Province of China (20JR5RA536, 20JR10RA095), and the Gansu Postdoctoral Research Funding Project

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Author Bio:
Xingwang LI received the M.S. and Ph.D. degrees from University of Electronic Science and Technology of China and Beijing University of Posts and Telecommunications in 2010 and 2015, respectively. From 2010 to 2012, he worked as an Engineer at Comba Telecom Ltd. in Guangzhou, China. From 2017 to 2018, he was a Visiting Scholar at Queen’s University Belfast, Belfast, UK. He is also a Visiting Scholar at State Key Laboratory of Networking and Switching Technology, Beijing University of Posts and Telecommunications from 2016 to 2018. He is currently an Associated Professor with the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China. His research interests include MIMO communication, cooperative communication, hardware constrained communication, non-orthogonal multiple access, physical layer security, unmanned aerial vehicles, and the Internet of things. He has served as many TPC members, such as IEEE GLOBECOM’18, IEEE WCNC’20, IEEE VTC’20, IEEE ICCC’19 and so on. He has also served as the Co-Chair for the IEEE/IET CSNDSP’20 and IEEE PIMRC’21. He also serves as an Editor on the Editorial Boards of IEEE Transactions on Vehicular Technology, IEEE Systems Journal, IEEE Access, Computer Communications, IET Networks, Physical Communication, IET Quantum Communication, and KSII Transactions on Internet and Information Systems. He is also the Lead Guest Editor for the Special Issue on UAV-Enabled B5G/6Gnetworks: Emerging Trends and Challenges of Physical Communication, Special Issue on Recent Advances in Physical Layer Technologies for the 5G-Enabled Internet of Things of Wireless Communications and Mobile Computing, and Special Issue on Recent Advances in Multiple Access for 5G-Enabled IoT of Security and Communication Networks. (Email: lixingwangbupt@gmail.com)

Xuesong GAO received the B.S. degree in information engineering with the School of Physics and Information Engineering of Cangzhou Normal University, Cangzhou, China, in 2021. She is currently pursuing the M.S. degree in communication and information systems with the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China. Her current research interests include non-orthogonal multiple access, cognitive radio, and cooperative communication. (Email: gaoxuesong@home.hpu.edu.cn)

Yingting LIU received the B.S., M.S. and Ph.D. degrees, all in communication & information systems, from Xidian University in 2005, 2008 and 2012, respectively. From 2012 to 2015, he was a Senior Engineer of Information and Communication Company of Gansu Power Corporation. From 2016 to 2021, he was serving as an Associate Professor in Northwest Normal University. Now, he is serving as an Associate Professor with the School of Electronic and Information Engineering, Lanzhou Jiaotong University. His research mainly focuses on some hot fields in wireless communications, e.g., simultaneously wireless information and power transfer, non-orthogonal multiple assess and backscatter communications. Moreover, the performance optimization for the communication system is also his research interests. (Email: liuyt2018@163.com)

Gaojian HUANG received the B.S. degree in electronic information engineering from the Guilin University of Electronic Technology (GUET), Guilin, China, in 2013, and received the Ph.D. degree in information and communications engineering from GUET, in 2021. From October 2017 to October 2018, he was a Visiting Researcher at Queen’s University Belfast, Northern Ireland, UK. He is now a Lecturer at the School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, China. His research interests include integrated sensing and wireless communication designs, antenna array, physical layer security, emerging modulation techniques and 5G/6G related areas. (Email: g.huang@hpu.edu.cn)

Ming ZENG received the B.E. and M.S. degrees from Beijing University of Post and Telecommunications, China in 2013 and 2016, respectively, and the Ph.D. degree in telecommunications engineering from Memorial University, Canada, in 2020. Currently, he is an Assistant Professor at the Department of Electrical Engineering and Computer Engineering, Université Laval, Canada. He has published more than 45 articles and conferences in first-tier IEEE journals and proceedings, and his work has been cited over 1150 times per Google Scholar. His research interests include resource allocation for beyond 5G systems, and machine learning empowered optical communications. He serves as an Associate Editor of the IEEE Open Journal of the Communication Society. (Email: ming.zeng@gel.ulaval.ca)

Dawei QIAO received the B.S. degree in public management with the School of Medicine, Henan Polytechnic University, Jiaozuo, China, in 2021. Before this, she worked at the Hospital of Henan Polytechnic University from 2015 to 2018. Her current research interests include artificial intelligence, health management, e-health and Internet of medical things. (Email: daweihpu@163.com)
Received Date: 2022-04-12
Accepted Date: 2022-06-28

Available Online: 2022-08-29

Publish Date: 2023-11-05

Abstract

Abstract

With the development of the mobile communication and intelligent information technologies, the intelligent transportation systems driven by the sixth generation (6G) has many opportunities to achieve ultra-low latency and higher data transmission rate. Nonetheless, it also faces the great challenges of spectral resource shortage and large-scale connection. To solve the above problems, non-orthogonal multiple access (NOMA) and cognitive radio (CR) technologies have been proposed. In this regard, we study the reliable and ergodic performance of CR-NOMA assisted intelligent transportation system networks in the presence of imperfect successive interference cancellation (SIC) and non-ideal channel state information. Specifically, the analytical expressions of the outage probability (OP) and ergodic sum rate (ESR) are derived through a string of calculations. In order to gain more insights, the asymptotic expressions for OP and ESR at high signal-to-noise ratio (SNR) regimes are discussed. We verify the accuracy of the analysis by Monte Carlo simulations, and the results show: i) Imperfect SIC and channel estimation errors (CEEs) have negative impacts on the OP and ESR; ii) The OP decreases with the SNR increasing until convergence to a fixed constant at high SNR regions; iii) The ESR increases with increasing SNR and there exists a ceiling in the high SNR region.
- Cognitive radio network,
- Ergodic rate,
- Imperfect successive interference cancellation,
- Non-orthogonal multiple access,
- Outage probability

1PT and ST can also send messages to SR at the same time, but the SR will cause interference, so this case is considered in this paper.

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