Performance of NOMA-enabled cognitive satellite-terrestrial networks with non-ideal system limitations
Akhmetkaziyev Y. Nauryzbayev G. Arzykulov S. Eltawil A.M. Rabie K.M. Li X.
2021Institute of Electrical and Electronics Engineers Inc.
IEEE Access
2021#935932 - 35946 pp.
Satellite-terrestrial networks (STNs) have received significant attention from research and industry due to their capability of providing a stable connection to rural and distant areas, where the allocation of terrestrial infrastructures is uneconomical or difficult. Moreover, the STNs are considered as a promising enabler of fifth-generation communication networks. However, expected massive connectivity in future communication networks will face issues associated with spectrum scarcity. In this regard, the integration of cognitive radio and non-orthogonal multiple access (NOMA) techniques into STNs is considered as a promising remedy. Thereafter, in this article, we investigate NOMA-assisted cognitive STN under practical system conditions, such as transceiver hardware impairments, channel state information mismatch, imperfect successive interference cancellation, and interference noises. Generalized coverage probability formulas for NOMA users in both primary and secondary networks are derived considering the impact of interference temperature constraint and its correctness is verified through Monte Carlo simulation. Furthermore, to achieve performance fairness among the users, power allocation factors based on coverage fairness for primary and secondary NOMA users are provided. Moreover, the numerical results demonstrate superior performance compared to the ones obtained from an orthogonal multiple access scheme and examine the imperfections impact on the system performance in terms of coverage and throughput.
Cognitive radio (CR) , coverage probability , non-orthogonal multiple access (NOMA) , optimization , satellite-terrestrial network (STN)
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School of Engineering and Digital Sciences, Nazarbayev University, Nur-Sultan, 010000, Kazakhstan
Computer, Electrical and Mathematical Science and Engineering Division, King Abdullah University of Science and Technology, Thuwal, 23955, Saudi Arabia
Department of Engineering, Manchester Metropolitan University, Manchester, M15 6BH, United Kingdom
School of Physics and Electronic Information Engineering, Henan Polytechnic University, Jiaozuo, 454000, China
School of Engineering and Digital Sciences
Computer
Department of Engineering
School of Physics and Electronic Information Engineering
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