A fuzzy-based throughput prediction for wireless communication systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Ideally, Wireless Communication System (WCS) and its various services are expected to operate effectively without any restrictions be it in space, time or communication locations. However, this is not absolutely possible in real-time, simply because the WCSs environmental space called Spectrum is currently found to be limited, heavily congested and continuously dynamic in nature. To address this problem, Cognitive Radio (CR) system has been proposed as the innovative technology solution. In this paper, Fuzzy Logic (FL) based approach has been proposed, designed and implemented as an adaptive prediction algorithm for the CR. The results obtained from the simulation shows that the proposed prediction algorithm was found to be faster with reduced computational complexity and offer quality improvement to the WCSs in terms of its overall throughput prediction accuracy.
LanguageEnglish
Title of host publication2018 Innovations in Intelligent Systems and Applications (INISTA)
EditorsTulay Yildirim, Yannis Manolopoulos, Plamen Angelov, Lazaros Iliadis
PublisherIEEE
Number of pages7
ISBN (Electronic)978-1-5386-5150-6
ISBN (Print)978-1-5386-5151-3
DOIs
StatePublished - 20 Sep 2018

Fingerprint

Communication systems
Throughput
Cognitive radio
Radio systems
Fuzzy logic
Computational complexity
Communication

Keywords

  • fuzzy logic system
  • cognitive radio
  • wireless communication system
  • prediction
  • spectrum state
  • simulation modelling

Cite this

Olaleye, M., Dahal, K., & Pervez, Z. (2018). A fuzzy-based throughput prediction for wireless communication systems. In T. Yildirim, Y. Manolopoulos, P. Angelov, & L. Iliadis (Eds.), 2018 Innovations in Intelligent Systems and Applications (INISTA) [08466273] IEEE. DOI: 10.1109/INISTA.2018.8466273
Olaleye, Martins ; Dahal, Keshav ; Pervez, Zeeshan. / A fuzzy-based throughput prediction for wireless communication systems. 2018 Innovations in Intelligent Systems and Applications (INISTA). editor / Tulay Yildirim ; Yannis Manolopoulos ; Plamen Angelov ; Lazaros Iliadis. IEEE, 2018.
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Olaleye, M, Dahal, K & Pervez, Z 2018, A fuzzy-based throughput prediction for wireless communication systems. in T Yildirim, Y Manolopoulos, P Angelov & L Iliadis (eds), 2018 Innovations in Intelligent Systems and Applications (INISTA)., 08466273, IEEE. DOI: 10.1109/INISTA.2018.8466273

A fuzzy-based throughput prediction for wireless communication systems. / Olaleye, Martins; Dahal, Keshav; Pervez, Zeeshan.

2018 Innovations in Intelligent Systems and Applications (INISTA). ed. / Tulay Yildirim; Yannis Manolopoulos; Plamen Angelov; Lazaros Iliadis. IEEE, 2018. 08466273.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - Ideally, Wireless Communication System (WCS) and its various services are expected to operate effectively without any restrictions be it in space, time or communication locations. However, this is not absolutely possible in real-time, simply because the WCSs environmental space called Spectrum is currently found to be limited, heavily congested and continuously dynamic in nature. To address this problem, Cognitive Radio (CR) system has been proposed as the innovative technology solution. In this paper, Fuzzy Logic (FL) based approach has been proposed, designed and implemented as an adaptive prediction algorithm for the CR. The results obtained from the simulation shows that the proposed prediction algorithm was found to be faster with reduced computational complexity and offer quality improvement to the WCSs in terms of its overall throughput prediction accuracy.

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Olaleye M, Dahal K, Pervez Z. A fuzzy-based throughput prediction for wireless communication systems. In Yildirim T, Manolopoulos Y, Angelov P, Iliadis L, editors, 2018 Innovations in Intelligent Systems and Applications (INISTA). IEEE. 2018. 08466273. Available from, DOI: 10.1109/INISTA.2018.8466273