Extended date rate prediction for cognitive radio using ANFIS with Subtractive Clustering

S. M. Hiremath, Sarat Kumar Patra, Amit Kumar Mishra

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

Abstract

Cognitive radio has emerged as intelligent wireless technology for solving the ever-growing demand of radio spectrum. Cognitive radio is a context aware radio, capable of observing the channel and networks parameters and make autonomously decisions on the best transceiver configuration. Cognitive radio can be made adaptive by utilizing intelligent software techniques. In this paper, we propose Subtractive Clustering with ANFIS based adaptive technique so that it works intelligently to select particular radio configuration. The system considers different time zones and subtractive clustering is used to assist ANFIS in selecting optimum number of rules and membership function. The performance of this is seen to be better than the neural network and ANFIS scheme.

Original languageEnglish
Title of host publicationCODEC 2012 - 5th International Conference on Computers and Devices for Communication
PublisherIEEE Press
Number of pages4
ISBN (Electronic)978-1-4673-2620-9
ISBN (Print)978-1-4673-2619-3
DOIs
Publication statusPublished - 17 Dec 2012
Externally publishedYes
Event5th International Conference on Computers and Devices for Communication, CODEC 2012 - Kolkata, India
Duration: 17 Dec 201219 Dec 2012

Publication series

NameCODEC 2012 - 5th International Conference on Computers and Devices for Communication

Conference

Conference5th International Conference on Computers and Devices for Communication, CODEC 2012
Country/TerritoryIndia
CityKolkata
Period17 Dec 201219 Dec 2012

Keywords

  • ANFIS
  • cognition cycle
  • Cognitive radio (CR)
  • extended scheme
  • spectrumhole
  • subtractive clustering

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