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Energies 2017, 10(7), 909; https://doi.org/10.3390/en10070909

Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid

1
School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
2
Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
*
Author to whom correspondence should be addressed.
Academic Editors: Frede Blaabjerg and Hongjian Sun
Received: 28 April 2017 / Revised: 7 June 2017 / Accepted: 28 June 2017 / Published: 3 July 2017
(This article belongs to the Special Issue From Smart Metering to Demand Side Management)
View Full-Text   |   Download PDF [1079 KB, uploaded 3 July 2017]   |  

Abstract

This paper obtains optimal power allocation to the data aggregator units (DAUs) and relays for cognitive wireless networks in a smart grid (SG). Firstly, the mutual interference between the primary user and the DAU are considered, and the expressions of the DAU transmission signal are derived based on the sensing information. Secondly, we use the particle swarm optimization (PSO) algorithm to search for the optimal power allocation to minimize the costs to the utility company. Finally, the impact of the sensing information on the network performance is studied. Then two special cases (namely, that only one relay is selected, and that the channel is not occupied by the primary user) are discussed. Simulation results demonstrate that the optimal power allocation and the sensing information of the relays can reduce the costs to the utility company for cognitive wireless networks in a smart grid. View Full-Text
Keywords: cognitive wireless network; smart grid; DAU; relay; power allocation; PSO cognitive wireless network; smart grid; DAU; relay; power allocation; PSO
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Ma, K.; Liu, X.; Yang, J.; Liu, Z.; Yuan, Y. Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid. Energies 2017, 10, 909.

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