Impact of mobility prediction on the performance of cognitive radio networks

Ismail Bütün*, A. Çaǧatay Talay, D. Turgay Altilar, Murad Khalid, Ravi Sankar

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)

Abstract

Wireless technology has enabled the development of increasingly diverse applications and devices resulting in an exponential growth in usage and services. These advancements made the radio frequency spectrum a scarce resource, and consequently, its efficient use is of the ultimate importance. To cope with the growing demand, network design focused on increasing the spectral efficiency by making use of advancement in Cognitive Radio technology. Cognitive Radio can reduce the spectrum shortage problem by enabling unlicensed users equipped with Cognitive Radios to reuse and share the licensed spectrum bands. Using the fact that a Cognitive Radio is capable of sensing the environmental conditions and automatically adapting its operating parameters in order to enhance network performance, we would like to make use of its knowledge to predict the mobility of Cognitive Radio users to improve the overall performance of the Cognitive Radio network. This study makes novel use of mobility prediction techniques to enhance reliability, bandwidth efficiency and scalability of the cognitive radio networks. Firstly, prediction techniques are evaluated and compared for prediction accuracy. Secondly, routing protocol reliability, efficiency and scalability performances are evaluated under different prediction techniques. Simulation results verify the performance improvements even with moderate accuracy predictors. Results clearly show that hybrid Markov CDF prediction performs the best. When compared with no prediction it significantly improves average reliability and efficiency by 11% and 8%, respectively.

Original languageEnglish
Title of host publication2010 Wireless Telecommunications Symposium, WTS 2010
DOIs
Publication statusPublished - 2010
Event9th Annual Wireless Telecommunications Symposium, WTS 2010 - Tampa, FL, United States
Duration: 21 Apr 201023 Apr 2010

Publication series

Name2010 Wireless Telecommunications Symposium, WTS 2010

Conference

Conference9th Annual Wireless Telecommunications Symposium, WTS 2010
Country/TerritoryUnited States
CityTampa, FL
Period21/04/1023/04/10

Keywords

  • Bandwidth efficiency
  • CDF
  • Cognitive radio networks
  • Markov
  • Mobility prediction
  • Performance
  • Reliability
  • Scalability

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