Yu, Rong and Zhang, Chaorui and Zhang, Xing and Zhou, Liang and Yang, Kun (2014) Hybrid Spectrum Access in Cognitive-Radio-Based Smart-Grid Communications Systems. IEEE Systems Journal, 8 (2). pp. 577-587. DOI https://doi.org/10.1109/jsyst.2013.2260931
Yu, Rong and Zhang, Chaorui and Zhang, Xing and Zhou, Liang and Yang, Kun (2014) Hybrid Spectrum Access in Cognitive-Radio-Based Smart-Grid Communications Systems. IEEE Systems Journal, 8 (2). pp. 577-587. DOI https://doi.org/10.1109/jsyst.2013.2260931
Yu, Rong and Zhang, Chaorui and Zhang, Xing and Zhou, Liang and Yang, Kun (2014) Hybrid Spectrum Access in Cognitive-Radio-Based Smart-Grid Communications Systems. IEEE Systems Journal, 8 (2). pp. 577-587. DOI https://doi.org/10.1109/jsyst.2013.2260931
Abstract
Cognitive-radio-based smart-grid networks have been studied recently as an efficient and reliable communications infrastructure for the future power grid. In this paper, we consider the spectrum resource management in cognitive-radio-based smart-grid networks. A new spectrum access paradigm called hybrid spectrum access (HSA) is proposed, in which both licensed and unlicensed spectrum bands are intelligently scheduled for the transmission of smart-grid services. The admission control problem under HSA is deliberately investigated. Furthermore, the impact of spectrum sensing error on the performance of HSA is analyzed by using a multidimensional Markov chain. Regarding the practical applications of the smart grid, two optimization problems, namely, cost-driven spectrum leasing and quality of service (QoS)-driven spectrum management, are formulated. Numeric results indicate that the HSA strategy is able to significantly improve the QoS of the smart-grid services, save the cost in spectrum leasing, and maintain the system interference at a sufficiently low range. © 2014 IEEE.
Item Type: | Article |
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Uncontrolled Keywords: | Cognitive radio; quality of service; smart grid; spectrum access; spectrum management |
Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science T Technology > TK Electrical engineering. Electronics Nuclear engineering |
Divisions: | Faculty of Science and Health Faculty of Science and Health > Computer Science and Electronic Engineering, School of |
SWORD Depositor: | Unnamed user with email elements@essex.ac.uk |
Depositing User: | Unnamed user with email elements@essex.ac.uk |
Date Deposited: | 07 Jul 2015 12:26 |
Last Modified: | 30 Oct 2024 20:24 |
URI: | http://repository.essex.ac.uk/id/eprint/14245 |