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Applications and Services of Intelligent Spectrum Handover

  • Anandakumar Haldorai
  • Umamaheswari Kandaswamy
Chapter
Part of the EAI/Springer Innovations in Communication and Computing book series (EAISICC)

Abstract

Intelligent spectrum handover is a fundamental resource, which implies that its services are needed for various wireless network applications. The allotted spectrum has been subjected to an increased demand, thus making it nearly impossible to control the scarce spectrum, hence instigating that the spectrum allotment and utilization is minimal. Intelligent spectrum is discussed in this contribution as a proposed solution that enhances the utility of the spectrum, which resultantly aids in the mitigation of the spectrum scarcity. The contribution presents a spectrum instance that highlights the necessity for fewer techniques for enhancing the efficiency of the spectrum. Networks in cognitive radio fundamentally enhance the utility of the spectrum by permitting unlicensed individuals to embrace the opportunity of accessing the unutilized permitted spectrum. This paper further evaluates critical applications and challenges that determine how users can effectively assign unutilized slots in the spectrum without causing a significant impact on the permitted users. Moreover, the activities are launched without the need to move the present users to other bands of spectrum. Presenting the shift of the spectrum model and presenting a simulated annealing framework is illustrated in this contribution since it aids to proposing effecting mitigating factors during the spectrum shift. This further optimizes and aggregates the spectrum use and also assures the capabilities of constraints in the shift, leading to interference constraints and rating the fundamentals of the constraints. Lastly, this paper discusses the services of intelligent spectrum handovers and the relevant critical applications in the field.

Keywords

Intelligent spectrum handover Cognitive radio Spectrum allotment Radio resource management Wireless communication Spectrum scarcity 

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Anandakumar Haldorai
    • 1
  • Umamaheswari Kandaswamy
    • 2
  1. 1.Department of Computer Science and EngineeringSri Eshwar College of EngineeringCoimbatoreIndia
  2. 2.Department of Information TechnologyPSG College of TechnologyCoimbatoreIndia

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