Volume 33 Issue 6
Nov.  2024
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Xiangbin YU, Mingfeng XIE, Ning LI, et al., “Performance Analysis of Spatial Modulation Aided UAV Communication Systems in Cooperative Relay Networks,” Chinese Journal of Electronics, vol. 33, no. 6, pp. 1492–1503, 2024 doi: 10.23919/cje.2021.00.369
Citation: Xiangbin YU, Mingfeng XIE, Ning LI, et al., “Performance Analysis of Spatial Modulation Aided UAV Communication Systems in Cooperative Relay Networks,” Chinese Journal of Electronics, vol. 33, no. 6, pp. 1492–1503, 2024 doi: 10.23919/cje.2021.00.369

Performance Analysis of Spatial Modulation Aided UAV Communication Systems in Cooperative Relay Networks

doi: 10.23919/cje.2021.00.369
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  • Author Bio:

    Xiangbin YU received the Ph.D. degree in communication and information systems from National Mobile Communications Research Laboratory at Southeast University, Nanjing, China. He is currently a Full Professor with Nanjing University of Aeronautics and Astronautics, Nanjing, China. From 2014 to 2015, he worked as a Visiting Scholar in electrical and computer engineering, with University of Delaware, Newark, USA. He has been a Member of IEEE ComSoc Radio Communications Committee (RCC) since 2007, Senior Member of the Chinese Institute of Electronics since 2012, and Senior Member of IEEE. Dr. Yu served as a Technical Program Committee member of the 2011 / 2017–2019 International Conference on Wireless Communications and Signal Processing and the 2015 / 2018–2022 IEEE International Conference on Communications. He is also a Reviewer for several journals. His research interests include massive MIMO, UAV communication, mmWave communication, green communication, and resource allocation. (Email: yxbxwy@gmail.com)

    Mingfeng XIE received the B.S. degree in electronic information engineering from Nanjing University of Information Science and Technology, Nanjing, China. He is currently working towards the Ph.D. degree with the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. His research interests include cell-free massive MIMO, channel estimation, and index modulation. (Email: xiemf1997@nuaa.edu.cn)

    Ning LI received the M.S. degree in manufacturing engineering and engineering management from City University of Hong Kong, Hong Kong, China, in 1999. She is currently an Associate Professor with the Department of Information and Communication Engineering, the College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China. Her research interests include digital image processing, computer vision, and object detection and tracking. (Email: ln@nuaa.edu.cn)

    Cuimin PAN received the M.S. degree in electronic information engineering from JiangXi University of Science and Technology, Ganzhou, China. She is currently working for the Ph.D. degree at Nanjing University of Aeronautics and Astronautics, Nanjing, China. (Email: 1594628280@qq.com)

  • Corresponding author: Email: yxbxwy@gmail.com
  • Received Date: 2021-10-16
  • Accepted Date: 2022-03-28
  • Available Online: 2024-04-23
  • Publish Date: 2024-11-05
  • In this paper, by introducing the spatial modulation (SM) scheme into the unmanned aerial vehicle (UAV) relaying system, an SM-aided UAV (SM-UAV) cooperative relay network is presented. The performance of the SM-UAV relay network is investigated over Nakagami-m fading channels, where the UAV remains stationary over a given area. According to the performance analysis, using the amplify-and-forward (AF) protocol, the effective signal-to-noise ratio (SNR) and the corresponding probability density function and moment generating function are, respectively, derived. With these results, the average bit error rate (BER) is further deduced, and resultant approximate closed-form expression is achieved. Based on the approximate BER, we derive the asymptotic BER to characterize the error performance of the system at high SNR. With this asymptotic BER, the diversity gain of the system is derived, and the resulting diversity order is attained. Simulation results illustrate the effectiveness of the performance analysis. Namely, approximate BER has the value close to the simulated one, and asymptotic BER can match the corresponding simulation well at high SNR. Thus, the BER performance of the system can be effectively assessed in theory, and conventional simulation will be avoided. Besides, the impacts of the antenna number, modulation order, fading parameter, and UAV position on the system performance are also analyzed. The results indicate that the BER performance is increased with the increases of Nakagami parameter m and/or receive antenna and/or the decrease of modulation order.
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