Abstract
Wireless communications from generation to generation up to the fifth depend on the increase band width output and lower latency, which have been achieved through the development and addition of new technologies on the dedicated channels. The fluctuating nature of the available range and the varied quality of service (QoS) requirements for different applications, limited spectrum, and the spectrum resource allocation policies present challenges for radio networks. Cognitive radio (CR) is one of the keyways to optimize the spectrum to the fullest degree possible; this paper describes CR, analyzes key functions, takes measures to share spectrum, discussing the effect of CR when combined with non-orthogonal multiple access (NOMA) at 5G and its impact on improving the performance of satellite communications.
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References
D. Cohen, S. Tsiper, Y. Eldar, Analog-to-digital cognitive radio sampling, detection, and hardware IEEE Sig. Process. Mag. 137–167 (2018)
M. Hassan, G. Karmakar, Exclusive use spectrum access trading models in cognitive radio networks: a survey. IEEE Commun. Surv. Tutorials 19, 2018–2025 (2017)
F. Hu, B. Chen, A. Kunzhu, Full spectrum sharing in cognitive radio networks toward 5G: a survey. IEEE 3(3), 15754–15776 (2018)
J. Thomas, P. Menon, A survey on spectrum handoff in cognitive radio networks, in International Conference on Innovations in Information, Embedded and Communication Systems (ICIIECS), Coimbatore (2017), pp. 1–4
J. Agarkhed, V. Gatate, Survey on spectrum sensing techniques in cognitive radio networks, in IEEE, International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT) (2017)
M. Manesh, M. Apu, N. Kaabouch, W. Chen Hu, Performance evaluation of spectrum sensingm techniques for cognitive radio systems, in IEEE Conference (UEMCON) (2016)
E.U. Ogbodo, D. Dorrell, A.M. Abu-Mahfouz, Cognitive radio based sensor network in smart grid: architectures, applications and communication technologies. IEEE Access 5, 19084–19098 (2017)
N. Muchandi, R. Khanai, Cognitive radio spectrum sensing: a survey, in IEEE, International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT) (2016)
D. Alias, G. Ragesh, Cognitive radio networks: a survey, in IEEE WiSPNET Conference (2016)
S. Sharma, S. Chatzinotas, L. Bao, Cognitive radio techniques under practical imperfections: a survey. IEEE Commun. Surv. Tutorials 17 (2015)
A. Khan, M. Rehmani, M. Reisslein, Cognitive radio for smart grids: survey of architectures, spectrum sensing mechanisms, and networking protocols. IEEE Commun. Surv. Tutorials 18 (2015)
S. Tzeng, Y. Lin, L. Wei, Spectrum hand-off for RF energy harvesting in cognitive radio based machine to machine communication networks, in 2018 International Conference on System Science and Engineering (ICSSE), New Taipei, pp. 1–4 (2018)
J. Zheng, Y. Wu, Dynamic computation offloading for mobile cloud computing: a stochastic game-theoretic approach. IEEE Trans, Mob. Comput. 18, 757–770 (2018)
L. Zhang, M. Xiao, G. Wu, M. Alam, Y. Liang, S. Li, A survey of advanced techniques for spectrum sharing in 5G networks. IEEE Wirel. Commun. 24 (2017)
F. Zhou, Y. Wu, Y. Liang, Z. Li, Y. Wang, K. Wong, State of the art, taxonomy, and open issues on cognitive radio networks with NOMA. IEEE Wirel. Commun. 25(2), 100–108 (2018)
T. Liang, K. An, S. Shi, Statistical modeling-based deployment issue in cognitive satellite terrestrial networks. IEEE Wirel. Commun. Lett. 7(2), 202–205 (2018)
M. Jia, X. Gu, Q. Guo, W. Xiang, N. Zhang, Broadband hybrid satellite-terrestrial communication systems based on cognitive radio toward 5G, in IEEE Wireless Communications, vol. 23, December 2016
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Hassan, M., Singh, M., Hamid, K. (2021). Survey on Advanced Spectrum Sharing Using Cognitive Radio Technique. In: Tuba, M., Akashe, S., Joshi, A. (eds) ICT Systems and Sustainability. Advances in Intelligent Systems and Computing, vol 1270. Springer, Singapore. https://doi.org/10.1007/978-981-15-8289-9_62
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DOI: https://doi.org/10.1007/978-981-15-8289-9_62
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