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Spectrum Handoffs Based on Preemptive Repeat Priority Queue in Cognitive Radio Networks.

Xiaolong Yang1, Xuezhi Tan2, Liang Ye3

  • 1Communication Research Center, Harbin Institute of Technology, Harbin 150080, China. xiaolongyang_hit@163.com.

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|July 23, 2016
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Summary
This summary is machine-generated.

Cognitive radio spectrum handoff ensures quality of service for primary users and data continuity for secondary users. This study introduces an analytical framework for optimizing spectrum handoff policies and admission control in cognitive radio networks.

Keywords:
admission controlcognitive radio networksextended data delivery timepreemptive repeat priority queuingsojourn timespectrum handoff

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Area of Science:

  • Wireless communication
  • Network engineering
  • Queuing theory

Background:

  • Spectrum efficiency is crucial in wireless networks.
  • Spectrum handoff is vital for cognitive radio (CR) networks to maintain service quality for primary users (PUs) and ensure data transmission continuity for secondary users (SUs).
  • Existing models often lack comprehensive analysis of multiple interruptions and transmission delays.

Purpose of the Study:

  • To develop an analytical framework for characterizing spectrum handoff behaviors in CR networks.
  • To derive expressions for data delivery and system sojourn time under various scenarios.
  • To investigate traffic-adaptive policies and admission control rules for SUs.

Main Methods:

  • Utilizing a preemptive repeat identical (PRI) M/G/1 queuing network model.
  • Analyzing general service time distributions for both PU and SU connections.
  • Deriving closed-form expressions for extended data delivery and system sojourn time.
  • Investigating traffic-adaptive policies and admissible regions for admission control.

Main Results:

  • The proposed framework accurately models spectrum handoff with general service times and multiple interruptions.
  • Closed-form expressions for data delivery and sojourn time were derived.
  • A traffic-adaptive policy for SUs and guidelines for admission control were established.
  • Simulation results validated the analytical framework's effectiveness.

Conclusions:

  • The analytical framework provides a robust method for analyzing spectrum handoff in CR networks.
  • The study offers valuable insights for optimizing SU spectrum handoff strategies and designing admission control mechanisms.
  • The findings contribute to enhancing the performance and reliability of cognitive radio systems.