Abstract

Cognitive radio networks (CRNs) rely on sensing of the licensed spectrum of a primary network to dynamically ascertain underutilized portion of the spectrum, thus affording additional communication opportunities. In a CRN, a single homogeneous spectrum access, such as interweave only deprives the secondary users (SUs) of channel access during handoff, particularly at high primary network traffic. Therefore, providing quality-of-service (QoS) to multi-class SUs with diverse delay requirements during handoff becomes a challenging task. In this paper, we have evolved a Markov-based analytical model to ascertain the gain in non-switching spectrum handoff scheme for multi-class SUs employing hybrid interweave-underlay spectrum access strategy. To satisfy the QoS requirements of the delay-sensitive traffic, we have analyzed the impact of hybrid spectrum access scheme for prioritized multi-class SUs traffic. The results show substantial improvement in spectrum utilization, average system throughput and extended data delivery time compared to conventional CRN using interweave only spectrum access. This demonstrates the suitability of the proposed scheme towards meeting QoS requirements of the delay-sensitive SU traffic while improving the overall performance for delay-tolerant SU traffic as well.

Highlights

  • Cognitive radio (CR) is a promising technology, which enables opportunistic communication through sensing of the licensed spectrum of the primary network by the secondary users (SUs).By allowing the SUs opportunistic access to the underutilized portion of the licensed spectrum, the utilization of limited spectrum resources can be significantly enhanced [1,2]

  • The spectrum handoff with hybrid interweave-underlay spectrum access scheme is modelled as a continuous time Markov chain to study the interactions between primary users (PUs) and the multi-class SUs

  • The results indicate significant performance improvement in spectrum utilization, average system throughput and extended data delivery time for a multi-class Cognitive radio networks (CRNs) with hybrid spectrum access when compared with the performance of a conventional

Read more

Summary

Introduction

Cognitive radio (CR) is a promising technology, which enables opportunistic communication through sensing of the licensed spectrum of the primary network by the secondary users (SUs). To achieve this an SU has to transmit at reduced power, which limits the maximum achievable data rate of SU traffic but at least maintains the connectivity [12]. We have evolved a Markov-based analytical model to evaluate the performance of non-switching spectrum handoff scheme for a CRN employing hybrid interweave-underlay spectrum access for prioritized multi-class. To the best of our knowledge the improvement in extended data delivery time of the delay-sensitive SUs is analyzed by utilizing the steady state Markov analysis in a hybrid CRN with prioritized multi-class SUs with due consideration of power constrained transmission rate for the first time in literature. The above mention contributions complements some of the recently published related work addressing spectrum handoff management for prioritized SU traffic and hybrid interweave-underlay spectrum access in cognitive radio networks

Related Work
System Model
Continuous Time Markov Chain Modelling and Steady State Analysis
Simulation and Results
Steady State Probabilities
Spectrum Utilization
Throughput
Extended Data Delivery Time
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.