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

Kai Ma, Xuemei Liu, Jie Yang, Zhixin Liu and Yazhou Yuan
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Kai Ma: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Xuemei Liu: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Jie Yang: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Zhixin Liu: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China
Yazhou Yuan: School of Electrical Engineering, Yanshan University, Qinhuangdao 066004, China

Energies, 2017, vol. 10, issue 7, 1-17

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.

Keywords: cognitive wireless network; smart grid; DAU; relay; power allocation; PSO (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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