Skip to main content

RAP-MAC Performance Optimization with Statistical PRN Guarantees

  • Chapter
  • First Online:
Cognitive Radio Networks

Part of the book series: Analog Circuits and Signal Processing ((ACSP))

  • 1344 Accesses

Abstract

This chapter presents an unprecedented treatment of the conventional CRN performance optimization problem that takes into account the practical limitations of today’s technologies. We analytically derive the optimal values of the parameters of the RAP-MAC protocol. More specifically, we find the values of the probabilities p and q as well as the maximum secondary transmission rates and powers that maximize the average rate of a secondary user while providing statistical guarantees on the performance of the PRNs. We formulate such a problem as a mixed integer non-linear program. The solution of such an optimization problem is NP hard. We present an exhaustive study of the impact of different factors, such as the PRN outage constraints and activity factors, on the solution of the problem and hence the achievable CRN user rate.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

Notes

  1. 1.

    We do not incorporate the ramp up from R 1 to R max − 1. While such assumption slightly impact the achievable rate of a SU, it does not affect our optimization problem as the outage constraints depend only on the maximum used rate.

  2. 2.

    In multiuser scenarios, RAP-MAC uses lower powers/rates. The interference caused by multiple weak sources has negligible impact (almost as Additive White Gaussian Noise (AWGN)) on ongoing transmissions compared to the interference from a single high power/rate source [1214]. Hence, (6.19) also covers the multiuser case.

References

  1. Akyildiz, I.F., Lee, W.Y., Chowdhury, K.R.: CRAHNs: Cognitive radio ad hoc networks. Ad Hoc Networks (Elsevier) 7(5), 810–836 (2009)

    Google Scholar 

  2. Salameh, H.B., Krunz, M.: Channel access protocols for multihop opportunistic networks: challenges and recent developments. IEEE Networks 23(4), 14–19 (2009)

    Article  Google Scholar 

  3. Yucek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Comm. Surv. Tutorials 11(1), 116–130 (2009)

    Article  Google Scholar 

  4. Tian, Z., Giannakis, G.: Compressed sensing for wideband cognitive radios. In: Proceedings of IEEE ICASSP, Honolulu, HI (2007)

    Google Scholar 

  5. Liu, H., Krishnamachari, B.: Randomized strategies for multi-user multi-channel opportunity sensing. In: Proceedings of IEEE CCNC Cognitive Radio Networks Workshop, Las Vegas, NV (2008)

    Google Scholar 

  6. Liang, Z., Liu, W., Zhou, P., Gao, F.: Randomized multi-user strategy for spectrum sharing in opportunistic spectrum access network. In: Proceedings of IEEE ICC Workshops, Beijing, China (2008)

    Google Scholar 

  7. Zhao, Q., Tong, L., Swami, A., Chen, Y.: Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMPD framework. IEEE J. Sel. Area. Comm. 25(3), 589–600 (2007)

    Article  Google Scholar 

  8. Wang, F., Krunz, M., Cui, S.: Price-based spectrum management in cognitive radio networks. IEEE J. Sel. Top. Signal Process. 2(1), 74–87 (2008)

    Article  Google Scholar 

  9. Salameh, H.B., Krunz, M., Younis, O.: MAC protocol for opportunistic cognitive radio networks with soft guarantees. IEEE Trans. Mobile Comput. 8(10), 1339–1352 (2009)

    Article  Google Scholar 

  10. Anandkumar, A., Michael, N., Tang, A.: Opportunistic spectrum access with multiple users: Learning under competition. In: Proceedings of IEEE INFOCOM 2010, San Deigo, CA (2010)

    Google Scholar 

  11. Chaporkar, P., Proutiere, A., Asnani, H.: Learning to optimally exploit multi-channel diversity in wireless systems. In: Proceedings of IEEE INFOCOM 2010, San Diego, CA (2010)

    Google Scholar 

  12. Rappaport, T.: Wireless communications, principles & practice. Prentice Hall, Englewood Cliffs (1996)

    Google Scholar 

  13. Clancy, T.C.: Achievable capacity under the interference temperature model. In: Proceedings of IEEE INFOCOM, Anchorage, AK (2007)

    Google Scholar 

  14. Khattab, A.: The case for SIMO random access in multi-antenna multi-hop wireless networks. Wireless Networks (ACM/Springer) 17(7), 1649–1665 (2011)

    Google Scholar 

  15. MATLAB: version 7.10.0 (R2010a). The MathWorks Inc., Natick (2010)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer Science+Business Media New York

About this chapter

Cite this chapter

Khattab, A., Perkins, D., Bayoumi, M. (2013). RAP-MAC Performance Optimization with Statistical PRN Guarantees. In: Cognitive Radio Networks. Analog Circuits and Signal Processing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4033-8_6

Download citation

  • DOI: https://doi.org/10.1007/978-1-4614-4033-8_6

  • Published:

  • Publisher Name: Springer, New York, NY

  • Print ISBN: 978-1-4614-4032-1

  • Online ISBN: 978-1-4614-4033-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics