Overlay CR-NOMA Assisted Intelligent Transportation System Networks with Imperfect SIC and CEEs
作者机构：Physics and Electronic Information Engineering Henan Polytechnic University School of Electronic and Information Engineering Lanzhou Jiaotong University State Grid Gansu Electric Power Research Institute School of Electronic Engineering Beijing University of Posts and Telecommunications Department of Electrical and Computer Engineering Laval University School of Emergency Management Henan Polytechnic University
出 版 物：《Chinese Journal of Electronics》 (电子学报(英文))
年 卷 期：2023年第32卷第6期
页 面：1258-1270页
核心收录：
学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 080402[工学-测试计量技术及仪器] 0804[工学-仪器科学与技术] 0838[工学-公安技术] 081001[工学-通信与信息系统]
基 金：supported by the Key Project of Guizhou Science and Technology Support Program through Grant Guizhou Key Science and Support (-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) the Gansu Postdoctoral Research Funding Project
主 题：NOMA Analytical models Interference cancellation Spectral efficiency System performance Channel estimation Reliability
摘 要：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 ultralow 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.
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