Abstract

Integrating cognitive radio into the current power grid is designed to enable smart communication and decisions within the grid. Communication within the grid is not feasible without channel(s) and most studies have emphasized the use of cellular spectrum. This study proposes a strategy that enables the use of television white space (TVWS) within the grid. To be specific, we propose using a next-generation utility network (Next-GUN), which leverages on the cognitive radio (CR) channel aggregation capability. This strategy enables the aggregation of idle TVWS into a usable channel, thus making the Next-GUN different from the traditional power network. Next-GUN differs in terms of security, reliability, self-awareness, and cross-layer compatibility to the interface, and conveys different traffic classes, thereby making it a hybrid system. It has no dedicated channel assigned to it, and hence, utilizes the idle TVWS opportunistically to transmit data. The proposed scheme was modelled as a Markovian process and analyzed using a continuous time Markov chain (CTMC). Extensive system simulations were performed to evaluate this proposed model and the corresponding comparison with the literature was done to see the improvement. The result of our comparisons shows that when channels are aggregated, more data/information are transmitted. In addition, the use of cognitive radios on a power network enables smart transaction because idle TVWS is utilized instead of congesting the GSM spectrum. Lastly, the power utility establishment can save the cost of paying for a licensed spectrum.

Highlights

  • One unique characteristic of cognitive radio technology (CRT) is its capability to integrate both wired and wireless technologies like the power grid, power-line communication (PLC), visible light communication (VLC), worldwide interoperability for microwave access (WiMAX) and long-term evolution advanced (LTE-A).The advantage of integrating CRT has not been investigated in detail except in a couple of studies [1,2]

  • Contemporary research is geared towards a multidisciplinary domain, targeted to developing

  • Contemporary research is geared towards a multidisciplinary domain, targeted to developing robust and intelligent systems

Read more

Summary

Introduction

One unique characteristic of cognitive radio technology (CRT) is its capability to integrate both wired and wireless technologies like the power grid, power-line communication (PLC), visible light communication (VLC), worldwide interoperability for microwave access (WiMAX) and long-term evolution advanced (LTE-A). The Next-GUN model is a hybrid architecture created through the integration of wireless radio technologies that guarantee dependable, compatible and efficient access to the grid elements from. The semi-independence given to the and CFGW (intelligent agent or agent or subnetworks) to aggregate and utilize the spectrum-holes within its jurisdiction (coverage subnetworks) to aggregate and utilize the spectrum-holes within its jurisdiction (coverage area) for area) for daily and hourly data transmission, while still sending reports to the HCRBS for a superior daily and hourly datapremises, transmission, reports is to the foraa superior decision On these we while infer still thatsending our design suitable for generation.

Preliminaries of Cognitive Radio and Next-GUN
Related Works
Network Model
Conceptual Assumptions and System Modeling
Primary
System Model Analysis
Performance Measure
Blocking Probability
Throughput Efficiency
Access Probability
Force Termination Probability
Numerical Results and Discussion
Comparison of the Proposed Next-GUN Model and Some Studies in the Literature
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.