Communication system in smart grid using spectrum sensing techniques

Mekkanen, Mike; Virrankoski, Reino; Elmusrati, Mohammed; Antila, Erkki

doi:10.1109/peoco.2013.6564566

Cited by 4 publications

(3 citation statements)

References 7 publications

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“…VII-B [210] c Feature Detection Sec. VII-C [197], [211], [212] r r r r r r r j Alternative Approaches Sec. VII-D [3], [155], [158], [172], [173], [187], [213]- [216] % Periodic [108], [132], [185], [194], [217] c On-Demand [3], [129], [166], [171], [172] % HAN [132] c NAN [132] r r r r j AMI [108] z Small Cells…”

Section: Energy Detectionmentioning

confidence: 99%

“…A powerful cyclo-stationary sensing method for a CR-based SG infrastructure has been proposed in [211]. Based on White Gaussian Noise (WGN) analysis and interferences, cyclostationary sensing allows the CR to detect licensed signals with a particular modulation type in a background of noise and other modulated signals for distributed automation systems and distributed energy resources in the SG [211].…”

Section: Feature Detection-based Spectrum Sensing 1) General Sensimentioning

confidence: 99%

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Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Khan

Rehmani

Reisslein

2016

IEEE Commun. Surv. Tutorials

310

145

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Traditional power grids are currently being transformed into Smart Grids (SGs). SGs feature multi-way communication among energy generation, transmission, distribution, and usage facilities. The reliable, efficient, and intelligent management of complex power systems requires integration of highspeed, reliable, and secure data information and communication technology into the SGs to monitor and regulate power generation and usage. Despite several challenges, such as trade-offs between wireless coverage and capacity as well as limited spectral resources in SGs, wireless communication is a promising SG communications technology. Cognitive Radio Networks (CRNs) in particular are highly promising for providing timely SG wireless communications by utilizing all available spectrum resources. We provide in this paper a comprehensive survey on the CRN communication paradigm in SGs, including the system architecture, communication network compositions, applications, and CR-based communication technologies. We highlight potential applications of CR-based SG systems. We survey CR-based spectrum sensing approaches with their major classifications. We also provide a survey on CR-based routing and MAC protocols, and describe interference mitigation schemes. We furthermore present open issues and research challenges faced by CR-based SG networks along with future directions.Index Terms-Advanced metering infrastructure (AMI), Communication architecture, Cognitive radio network (CRN), Smart grid (SG).1553-877X (c) 2 to license holders on a long-term basis for large geographical regions. This fixed spectrum allocation can result in inefficient spectrum utilization. Cognitive radios (CRs) operating on the principle of Dynamic Spectrum Access (DSA) may be a suitable option to solve these spectrum inefficiency problems [18]. CRs use the existing spectrum through opportunistic access to the licensed bands without interfering with the licensed users. CRs determine the spectrum portions unoccupied by the licensed users known as spectrum holes or white spaces, and allocate the best available channels for CR communication [19], [20].After identification of available spectrum holes, the spectrum utilization can be improved through joint spatial and temporal spectrum sharing. SG applications, especially demand response management, can benefit from joint spatial and temporal spectrum sharing [21]. Machine-to-machine (M2M) communication is an emerging paradigm for providing ubiquitous connectivity between devices to communicate autonomously without human intervention. However, a high number of connected devices can heavily congest the spectrum in existing communication networks. CR technology may be a suitable option for mitigating the potential spectrum shortage arising from M2M communications in the SG [22]. B. Contribution of this Survey ArticleWhile a few overview articles have outline some selected aspects of CR communication in the SG [23]- [25], to the best of our knowledge, there is no prior survey that comprehensively covers CR-based...

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Section: Energy Detectionmentioning

confidence: 99%

Section: Feature Detection-based Spectrum Sensing 1) General Sensimentioning

confidence: 99%

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Khan

Rehmani

Reisslein

2016

IEEE Commun. Surv. Tutorials

310

145

View full text Add to dashboard Cite

show abstract

“…For example, smart meters have been deployed in smart grid to obtain the two-way flow of information and monitor the power supply. Besides, heterogeneous networks with small cells can support the spectrum sensing in smart grid [21]. It makes it possible that the secondary users can utilize the unoccupied channel when the primary users are absent, resulting in an efficient use of the resources of spectrum in smart grid [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things

Chen

Hui

et al. 2017

Mobile Information Systems

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The ever increasing demand of energy efficiency and the strong awareness of environment have led to the enhanced interests in green Internet of things (IoTs). How to efficiently deliver power, especially, with the smart grid based on the stability of network becomes a challenge for green IoTs. Therefore, in this paper we present a novel real-time pricing strategy based on the network stability in the green IoTs enabled smart grid. Firstly, the outage is analyzed by considering the imbalance of power supply and demand as well as the load uncertainty. Secondly, the problem of power supply with multiple-retailers is formulated as a Stackelberg game, where the optimal price can be obtained with the maximal profit for retailers and users. Thirdly, the stability of price is analyzed under the constraints. In addition, simulation results show the efficiency of the proposed strategy.

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Channel Detection Under Impulsive Noise and Fading Environments for Smart Grid

Tao

Zhao

2021

IEEE Internet Things J.

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Communication system in smart grid using spectrum sensing techniques

Cited by 4 publications

References 7 publications

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Cognitive Radio for Smart Grids: Survey of Architectures, Spectrum Sensing Mechanisms, and Networking Protocols

Real-Time Pricing Strategy Based on the Stability of Smart Grid for Green Internet of Things

Channel Detection Under Impulsive Noise and Fading Environments for Smart Grid

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