Skip to main content
SpringerLink
Log in

Performance Evaluation of Cognitive Radio Networks with a Finite Buffer Setting for Primary Users

  • Conference paper
  • First Online:
Queueing Theory and Network Applications (QTNA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10591))

Included in the following conference series:

  • 1114 Accesses

Abstract

In this paper, in order to reduce possible packet loss of the primary users (PUs) in cognitive radio networks, we assume there is a buffer with a finite capacity for the PU packets. If a PU packet arrives during the transmission period of another PU packet, this newly arriving PU packet can initially access the PU buffer. In order to evaluate the influence of the buffer setting of the PU packets on the secondary users (SUs), we construct and analyze a discrete-time Markov chain model. Accordingly, we determine the expressions of some important performance measures of the PU packets and the SU packets, including the average queue length, the blocking rate, the throughput of PU packets and the average queue length, the interrupted rate, and the average delay of SU packets, respectively. Finally, we show numerical results to evaluate how the buffer setting of the PU packets influences the system performance of the PU packets and the SU packets.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Zhao, Q., Sadler, B.M.: A survey of dynamic spectrum access. IEEE Signal Process. Mag. 24, 79–89 (2007)

    Article  Google Scholar 

  2. Marinho, J., Monteiro, E.: Cognitive radio: survey on communication protocols, spectrum decision issues, and future research directions. Wirel. Netw. 18, 147–164 (2012)

    Article  Google Scholar 

  3. Naeem, M., Anpalagan, A., Jaseemuddin, M., Lee, D.C.: Resource allocation techniques in cooperative cognitive radio networks. IEEE Commun. Surv. Tutor. 16, 729–744 (2014)

    Article  Google Scholar 

  4. Benmammar, B., Amraoui, A., Krief, F.: A survey on dynamic spectrum access techniques in cognitive radio networks. Int. J. Commun. Netw. Inf. Secur. 5, 68–79 (2013)

    Google Scholar 

  5. Wang, B., Liu, K.J.R.: Advances in cognitive radio networks: a survey. IEEE J. Sel. Top. Signal Process. 5, 5–23 (2011)

    Article  Google Scholar 

  6. Tragos, E.Z., Zeadally, S., Fragkiadakis, A.G., Siris, V.A.: Spectrum assignment in cognitive radio networks: a comprehensive survey. IEEE Commun. Surv. Tutor. 15, 1108–1135 (2013)

    Article  Google Scholar 

  7. Zhang, Z., Long, K., Wang, J.: Self-organization paradigms and optimization approaches for cognitive radio technologies: a survey. IEEE Wirel. Commun. 20, 36–42 (2013)

    Article  Google Scholar 

  8. Saleem, Y., Rehmani, M.H.: Primary radio user activity models for cognitive radio networks: a survey. J. Netw. Comput. Appl. 43, 1–16 (2014)

    Article  Google Scholar 

  9. Jin, S., Chen, S., Zhang, J.: Social optimization and pricing policy in cognitive radio networks with an energy saving strategy. Mob. Inf. Syst. 2016, 1–10 (2016). Article ID 2426580

    Google Scholar 

  10. Li, H., Han, Z.: Socially optimal queuing control in cognitive radio networks subject to service interruptions: to queue or not to queue? IEEE Trans. Wirel. Commun. 10, 1656–1666 (2011)

    Article  Google Scholar 

  11. Asheralieva, A., Miyanaga, Y.: Joint bandwidth and power allocation for LTE-based cognitive radio network based on buffer occupancy. Mob. Inf. Syst. 2016, 1–23 (2016). Article ID 6306580

    Google Scholar 

  12. Alfa, A.S.: Queueing Theory for Telecommunications: Discrete Time Modelling of a Single Node System. Springer, New York (2010). https://doi.org/10.1007/978-1-4419-7314-6

    Book  MATH  Google Scholar 

  13. Do, C.T., Tran, N.H., Nguyen, M.V., Hong, C.S.: Social optimization strategy in unobserved queueing systems in cognitive radio networks. IEEE Commun. Lett. 16, 1944–1947 (2012)

    Article  Google Scholar 

  14. Tian, N., Xu, X., Ma, Z.: Discrete-Time Queueing Theory. Science Press, Beijing (2008)

    Google Scholar 

  15. Tian, N., Zhang, G.: Vacation Queueing Models: Theory and Applications. Springer, New York (2006). https://doi.org/10.1007/978-0-387-33723-4

    Book  MATH  Google Scholar 

Download references

Acknowledgments

This work was supported in part by the Fundamental Research Funds for the Central Universities (No. N152303007), the Natural Science Foundation of Hebei Province (No. F2016501073), the National Natural Science Foundation of China (No. 61472342), the Doctoral Scientific Research Foundation of Liaoning Province (No. 201601016), the Scientific Research Fund of Hebei Education Department (No. QN2016307), and the Doctoral Foundation of Northeastern University at Qinhuangdao (No. XNB201606), China, and was supported in part by MEXT, Japan.

Author information

Authors and Affiliations

  1. School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao, 066004, China

    Yuan Zhao

  2. Department of Intelligence and Informatics, Konan University, Kobe, 658-8501, Japan

    Wuyi Yue

Authors
  1. Yuan Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Wuyi Yue
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Yuan Zhao .

Editor information

Editors and Affiliations

  1. Konan University, Kobe, Japan

    Wuyi Yue

  2. Yanshan University, Qinhuangdao, China

    Quan-Lin Li

  3. Yanshan University, Qinhuangdao, China

    Shunfu Jin

  4. Yanshan University, Qinhuangdao, China

    Zhanyou Ma

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Zhao, Y., Yue, W. (2017). Performance Evaluation of Cognitive Radio Networks with a Finite Buffer Setting for Primary Users. In: Yue, W., Li, QL., Jin, S., Ma, Z. (eds) Queueing Theory and Network Applications. QTNA 2017. Lecture Notes in Computer Science(), vol 10591. Springer, Cham. https://doi.org/10.1007/978-3-319-68520-5_11

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-68520-5_11

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-68519-9

  • Online ISBN: 978-3-319-68520-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation