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2020 | OriginalPaper | Chapter

Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey

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Abstract

Smart grid is viewed as the next-generation electric power system to meet the demand of communication and power delivery in an intelligent manner. With large scale deployment of electric power systems, smart grid faces the challenge from large volume data and high spectrum needs. To realize efficient spectrum utilization in the fact of spectrum scarcity, cognitive radio (CR) is involved in smart grid and generates the cognitive radio enabled smart grid. Cognitive radio enabled smart grid coexists with primary network by employing CR technologies including spectrum sensing, sharing, access and so on. Spectrum sharing is an important CR technology which realizes network coexistence without harmful interference through radio resource allocation. In this paper, a comprehensive survey is provided to review the state-of-the-art researches on spectrum sharing in cognitive radio enabled smart grid. We identify the network architecture and communication technology issues of cognitive radio enabled smart gird, and illustrate the investigation of spectrum sharing in different radio resource dimensions to highlight the superiority in efficient spectrum utilization.

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Literature
1.
go back to reference Khan, A.A., Rehmani, M.H., Reisslein, M.: Cognitive radio for smart grids: survey of architectures, spectrum sensing mechanisms, and networking protocols. IEEE Commun. Surv. Tutor. 18(1), 860–898 (2016)CrossRef Khan, A.A., Rehmani, M.H., Reisslein, M.: Cognitive radio for smart grids: survey of architectures, spectrum sensing mechanisms, and networking protocols. IEEE Commun. Surv. Tutor. 18(1), 860–898 (2016)CrossRef
2.
go back to reference You, M., Liu, Q., Sun, H.: New communication strategy for spectrum sharing enabled smart grid cyber-physical system. IET Cyber-Phys. Syst. Theory Appl. 2(3), 136–142 (2017)CrossRef You, M., Liu, Q., Sun, H.: New communication strategy for spectrum sharing enabled smart grid cyber-physical system. IET Cyber-Phys. Syst. Theory Appl. 2(3), 136–142 (2017)CrossRef
3.
go back to reference Yu, R., Zhang, C., Zhang, X., et al.: Hybrid spectrum access in cognitive-radio-based smart-grid communications systems. IEEE Syst. J. 8(2), 577–587 (2014)MathSciNetCrossRef Yu, R., Zhang, C., Zhang, X., et al.: Hybrid spectrum access in cognitive-radio-based smart-grid communications systems. IEEE Syst. J. 8(2), 577–587 (2014)MathSciNetCrossRef
4.
go back to reference Islam, S.N., Mahmud, M.A., Oo, A.T., et al.: Interference management for cognitive radio enabled smart grid communication. In: IEEE Pes Asia-pacific Power & Energy Engineering Conference. IEEE (2018) Islam, S.N., Mahmud, M.A., Oo, A.T., et al.: Interference management for cognitive radio enabled smart grid communication. In: IEEE Pes Asia-pacific Power & Energy Engineering Conference. IEEE (2018)
5.
go back to reference Ghassemi, A., Bavarian, S., Lampe, L.: Cognitive radio for smart grid communications. In: Proceedings of IEEE SmartGridComm, Gaithersburg, MD, USA, pp. 297–302 (2010) Ghassemi, A., Bavarian, S., Lampe, L.: Cognitive radio for smart grid communications. In: Proceedings of IEEE SmartGridComm, Gaithersburg, MD, USA, pp. 297–302 (2010)
6.
go back to reference Peng, Y., Wang, P., Xiang, W., Li, Y.: Secret key generation based on estimated channel state information for TDD-OFDM systems over fading channels. IEEE Trans. Wirel. Commun. 16(8), 5176–5186 (2017)CrossRef Peng, Y., Wang, P., Xiang, W., Li, Y.: Secret key generation based on estimated channel state information for TDD-OFDM systems over fading channels. IEEE Trans. Wirel. Commun. 16(8), 5176–5186 (2017)CrossRef
7.
go back to reference Alam, S., Aqdas, N., Qureshi, I.M., et al.: Clustering-based channel allocation scheme for neighborhood area network in a cognitive radio based smart grid communication. IEEE Access 6, 25773–25784 (2018)CrossRef Alam, S., Aqdas, N., Qureshi, I.M., et al.: Clustering-based channel allocation scheme for neighborhood area network in a cognitive radio based smart grid communication. IEEE Access 6, 25773–25784 (2018)CrossRef
8.
go back to reference Long, H., Xiang, W., Zhang, Y., Liu, Y., Wang, W.: Secrecy capacity enhancement with distributed precoding in multirelay wiretap systems. IEEE Trans. Inf. Forensics Secur. 8(1), 229–238 (2012)CrossRef Long, H., Xiang, W., Zhang, Y., Liu, Y., Wang, W.: Secrecy capacity enhancement with distributed precoding in multirelay wiretap systems. IEEE Trans. Inf. Forensics Secur. 8(1), 229–238 (2012)CrossRef
9.
go back to reference Hiew, Y.K., Aripin, N.M., Din, N.M.: Asynchronous iterative water filling for cognitive smart grid communications. In: Computer Applications & Industrial Electronics. IEEE (2015) Hiew, Y.K., Aripin, N.M., Din, N.M.: Asynchronous iterative water filling for cognitive smart grid communications. In: Computer Applications & Industrial Electronics. IEEE (2015)
10.
go back to reference Xiang, W., Barbulescu, S.A., Pietrobon, S.S.: Unequal error protection applied to JPEG image transmission using turbo codes. In: Proceedings 2001 IEEE Information Theory Workshop (Cat. No. 01EX494), pp. 64–66 (2001) Xiang, W., Barbulescu, S.A., Pietrobon, S.S.: Unequal error protection applied to JPEG image transmission using turbo codes. In: Proceedings 2001 IEEE Information Theory Workshop (Cat. No. 01EX494), pp. 64–66 (2001)
11.
go back to reference Dehalwar, V., Kolhe, M., Kolhe, S.: Cognitive radio application for smart grid. Int. J. Smart Grid Clean Energy 1(1), 79–84 (2012)CrossRef Dehalwar, V., Kolhe, M., Kolhe, S.: Cognitive radio application for smart grid. Int. J. Smart Grid Clean Energy 1(1), 79–84 (2012)CrossRef
12.
go back to reference Le, T.N., Chin, W.L., Chen, H.H.: Standardization and security for smart grid communications based on cognitive radio technologies – a comprehensive survey. IEEE Commun. Surv. Tutor. 19, 423–445 (2016) Le, T.N., Chin, W.L., Chen, H.H.: Standardization and security for smart grid communications based on cognitive radio technologies – a comprehensive survey. IEEE Commun. Surv. Tutor. 19, 423–445 (2016)
13.
go back to reference Yu, R., et al.: Cognitive radio based hierarchical communication infrastructure for smart grid. IEEE Netw. 25(5), 6–14 (2011)CrossRef Yu, R., et al.: Cognitive radio based hierarchical communication infrastructure for smart grid. IEEE Netw. 25(5), 6–14 (2011)CrossRef
14.
go back to reference Meng, W., Ma, R., Chen, H.-H.: Smart grid neighborhood area networks: a survey. IEEE Netw. 28(1), 24–32 (2014)CrossRef Meng, W., Ma, R., Chen, H.-H.: Smart grid neighborhood area networks: a survey. IEEE Netw. 28(1), 24–32 (2014)CrossRef
15.
go back to reference Liu, F., Wang, J., Han, Y., Han, P.: Cogitive radio networks for smart grid communications. In: Proceedings of 9th Asian Control Conference (ASCC), Istanbul, Turkey, pp. 1–5 (2013) Liu, F., Wang, J., Han, Y., Han, P.: Cogitive radio networks for smart grid communications. In: Proceedings of 9th Asian Control Conference (ASCC), Istanbul, Turkey, pp. 1–5 (2013)
16.
go back to reference Kouhdaragh, V., Tarchi, D., Coralli, A.V., et al.: Cognitive radio based smart grid networks. In: Tyrrhenian International Workshop on Digital Communications-green ICT. IEEE (2013) Kouhdaragh, V., Tarchi, D., Coralli, A.V., et al.: Cognitive radio based smart grid networks. In: Tyrrhenian International Workshop on Digital Communications-green ICT. IEEE (2013)
17.
go back to reference Güngör, V.C., et al.: Smart grid technologies: Communication technologies and standards. IEEE Trans. Ind. Informat. 7(4), 529–539 (2011)CrossRef Güngör, V.C., et al.: Smart grid technologies: Communication technologies and standards. IEEE Trans. Ind. Informat. 7(4), 529–539 (2011)CrossRef
18.
go back to reference IEEE Standard 802.15.4 g, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 3: Physical Layer (PHY) Specifications for Low-Data-Rate, Wireless, Smart Metering Utility Networks, IEEE Standard 802.15.4 g (2012) IEEE Standard 802.15.4 g, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment 3: Physical Layer (PHY) Specifications for Low-Data-Rate, Wireless, Smart Metering Utility Networks, IEEE Standard 802.15.4 g (2012)
19.
go back to reference IEEE Standard 802.15.4e, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment I: MAC Sublayer, IEEE Standard 802.15.4e (2012) IEEE Standard 802.15.4e, Part 15.4: Low-Rate Wireless Personal Area Networks (LR-WPANs) Amendment I: MAC Sublayer, IEEE Standard 802.15.4e (2012)
20.
go back to reference Kabouris, J., Kanellos, F.D.: Impacts of large-scale wind penetration on designing and operation of electric power systems. IEEE Trans. Sustain. Energy 1(2), 107–114 (2010)CrossRef Kabouris, J., Kanellos, F.D.: Impacts of large-scale wind penetration on designing and operation of electric power systems. IEEE Trans. Sustain. Energy 1(2), 107–114 (2010)CrossRef
21.
go back to reference Ma, X., Li, H., Djouadi, S.: Networked system state estimation in smart grid over cognitive radio infrastructures. In: Proceedings of 45th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA (2011) Ma, X., Li, H., Djouadi, S.: Networked system state estimation in smart grid over cognitive radio infrastructures. In: Proceedings of 45th Annual Conference on Information Sciences and Systems (CISS), Baltimore, MD, USA (2011)
22.
go back to reference Bu, S., Yu, F.R.: Green cognitive mobile networks with small cells for multimedia communications in the smart grid environment. IEEE Trans. Veh. Technol. 63(5), 2115–2126 (2014)CrossRef Bu, S., Yu, F.R.: Green cognitive mobile networks with small cells for multimedia communications in the smart grid environment. IEEE Trans. Veh. Technol. 63(5), 2115–2126 (2014)CrossRef
23.
go back to reference Cacciapuoti, A.S., Caleffi, M., Marino, F., et al.: Sensing-time optimization in cognitive radio enabling Smart Grid. In: Euro Med Telco Conference. IEEE (2014) Cacciapuoti, A.S., Caleffi, M., Marino, F., et al.: Sensing-time optimization in cognitive radio enabling Smart Grid. In: Euro Med Telco Conference. IEEE (2014)
24.
go back to reference Deng, R., Maharjan, S., Cao, X., et al.: Sensing-delay tradeoff for communication in cognitive radio enabled smart grid. In: IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011 (2011) Deng, R., Maharjan, S., Cao, X., et al.: Sensing-delay tradeoff for communication in cognitive radio enabled smart grid. In: IEEE International Conference on Smart Grid Communications (SmartGridComm), 2011 (2011)
25.
go back to reference Hsiao, W.L., Chiu, W.Y.: Spectrum sensing control for enabling cognitive radio based smart grid. In: 2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) (2016) Hsiao, W.L., Chiu, W.Y.: Spectrum sensing control for enabling cognitive radio based smart grid. In: 2016 2nd International Conference on Intelligent Green Building and Smart Grid (IGBSG) (2016)
26.
go back to reference Yang, S., Wang, J., Han, Y., et al.: Dynamic spectrum allocation algorithm based on fairness for smart grid communication networks. In: Control Conference. IEEE (2016) Yang, S., Wang, J., Han, Y., et al.: Dynamic spectrum allocation algorithm based on fairness for smart grid communication networks. In: Control Conference. IEEE (2016)
27.
go back to reference Yang, S., Wang, J., Han, Y., et al.: Dynamic spectrum allocation algorithm based on matching scheme for smart grid communication network. In: IEEE International Conference on Computer & Communications. IEEE (2017) Yang, S., Wang, J., Han, Y., et al.: Dynamic spectrum allocation algorithm based on matching scheme for smart grid communication network. In: IEEE International Conference on Computer & Communications. IEEE (2017)
28.
go back to reference Ma, R., Chen, H.H., Meng, W.: Dynamic spectrum sharing for the coexistence of smart utility networks and WLANs in smart grid communications. IEEE Netw. 31(1), 88–96 (2017)CrossRef Ma, R., Chen, H.H., Meng, W.: Dynamic spectrum sharing for the coexistence of smart utility networks and WLANs in smart grid communications. IEEE Netw. 31(1), 88–96 (2017)CrossRef
29.
go back to reference Aroua, S., El Korbi, I., Ghamri-Doudane, Y., Saidane, L.A.: Hierarchical fair spectrum sharing in CRSNsfor smart grid monitoring. In: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) (2018) Aroua, S., El Korbi, I., Ghamri-Doudane, Y., Saidane, L.A.: Hierarchical fair spectrum sharing in CRSNsfor smart grid monitoring. In: 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) (2018)
30.
go back to reference Zhao, X., et al.: Spectrum allocation with differential pricing and admission in cognitive-radio-based neighborhood area network for smart grid. In: 2018 IEEE/IFIP Network Operations and Management Symposium (2018) Zhao, X., et al.: Spectrum allocation with differential pricing and admission in cognitive-radio-based neighborhood area network for smart grid. In: 2018 IEEE/IFIP Network Operations and Management Symposium (2018)
31.
go back to reference Jiang, T.: On-demand cognitive radio communications for smart grid. In: 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm) (2016) Jiang, T.: On-demand cognitive radio communications for smart grid. In: 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm) (2016)
Metadata
Title
Spectrum Sharing in Cognitive Radio Enabled Smart Grid: A Survey
Author
Shuo Chen
Copyright Year
2020
DOI
https://doi.org/10.1007/978-3-030-48513-9_50

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