Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Survey on Models and Methodology for Emergency Relief and Staff Scheduling Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Cooperative Spectrum Sensing in the DSA: Simulation of Spectrum Sensing Time Consumptions by Cognitive Radio Secondary Users

Authors : Masiala Mavungu, A. L. Nel

Published in: Emerging Trends in Electrical, Electronic and Communications Engineering

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless Communication and Signal Processing have become areas of flourishing research and innovation. Mathematical Modeling and Computational Simulations emerge as powerful ways to describe, analyze and control situations, solve problems and then interpret the results. The aim of this paper is to analyze the optimal sensing time made by cognitive radio secondary users during cooperative spectrum sensing in the Distributed Spectrum Utilization. The optimal time made by each cognitive radio user participating in cooperative spectrum sensing is modelled as a stochastic differential equation. The combination of all these sensing of the spectrum leads to a system of stochastic differential equations which is solved using a Runge-Kutta method. Computational simulations are provided to show that the total spectrum sensing time made by cognitive radios in the cooperative spectrum sensing is less than the total time they made in the spectrum sensing without cooperation.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Development of Active Acoustic Noise Cancellation Using the Professional Audio Development Kit (PADK) Featuring the TMS 320C6727 DSP
next chapter Large Scale Fading Pre-coder for Massive MIMO Without Cell Cooperation
Literature
1.
Morris, W.H., Stephen, S., Robert, L.D.: Differential Equations, Dynamical Systems, An Introduction to Chaos, vol. 60, 2nd edn. Elsevier Academic Press, Cambridge (2004)MATH
2.
Edward, C.Y., Ying-Chang, L., Yong, L.G., Yonghong, Z.: Optimization of cooperative sensing in cognitive radio networks: a sensing-throughput tradeoff view. IEEE Trans. Veh. Technol. 58(9), 5294–5299 (2009)CrossRef
3.
Ying-Chang, L., Yonghong, Z., Edward, C.Y.P., Anh, T.H.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wirel. Commun. 7(4), 1326–1337 (2008)CrossRef
4.
Ian, F.A., Brandon, F.L., Ravikumar, B.: Cooperative spectrum sensing in cognitive radio networks: a survey. Phys. Commun. 4(4), 40–62 (2011)
5.
Danijela, C., Shridhar, M.M., Robert, W.B.: Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of the Asilomar Conference on Signals, Systems, and Computers, vol. 1, pp. 772–776 (2004)
6.
Liaoyuan, Z., Sean, M.: Spectrum sensing time optimization algorithm for spectrum efficiency maximization in the low-power cognitive radio ultra wideband system. In: International Conference on Electronic Engineering and Computer Science (2013). IERI Procedia 4, 68–73 (2013)
7.
Pei, E., Li, J.B., Cheng, F.: Sensing-throughput tradeoff for cognitive radio networks with additional primary transmission protection. J. Comput. Inf. Sys. 9, 3767–3773 (2013)
Metadata
Title
Cooperative Spectrum Sensing in the DSA: Simulation of Spectrum Sensing Time Consumptions by Cognitive Radio Secondary Users
Authors
Masiala Mavungu
A. L. Nel
Copyright Year
2017
Book
Emerging Trends in Electrical, Electronic and Communications Engineering

Print ISBN: 978-3-319-52170-1

Electronic ISBN: 978-3-319-52171-8

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-52171-8_20