Skip to main content

The Relationship Among the Performance Parameters in CSS

  • Chapter
  • First Online:
  • 402 Accesses

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 384))

Abstract

In this chapter, the basic system model of CSS is illustrated. The fundamental detection performance and secondary throughput are given. Most of all, the relationship of the parameters in CSS are analyzed in detail, which can help readers understand preferably.

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

Buying options

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

Learn about institutional subscriptions

References

  1. Federal Communications commission (2002) Spectrum policy task force, ET docket no. 02-135 Memorandum opinion and order

    Google Scholar 

  2. Akyildiz IF, Lee WY, Vuran MC et al (2006) Next generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput Netw J (Elsevier) 50(13):2127–2159

    Article  MATH  Google Scholar 

  3. Haykin S (2005) Cognitive radio: brain-empowered wireless communications. IEEE J Sel Areas Commun 23(2):201–220

    Article  Google Scholar 

  4. Cabric D, Mishra SM, Brodersen RW (2004) Implementation issues in spectrum sensing for cognitive radios. In: Proceeding of the 38th asilomar conference signals, system, computers. United States, pp 772–776

    Google Scholar 

  5. Weiss T, Jondral F (2004) Spectrum pooling: an innovative strategy for the enhancement of spectrum efficiency. IEEE Commun Mag 42(3):S8–S14

    Article  Google Scholar 

  6. Amir G, Elvino SS (2007) Opportunistic spectrum access in fading channels through collaborative sensing. J Commun 2(2):71–82

    Google Scholar 

  7. Ganesan G, Li Y (2007) Cooperative spectrum sensing in cognitive radio, part I: two user networks. IEEE Trans Wireless Commun 6(6):2204–2212

    Article  Google Scholar 

  8. Ganesan G, Li Y (2007) Cooperative spectrum sensing in cognitive radio, part II: multiuser networks. IEEE Trans Wireless Commun 6(6):2214–2222

    Article  Google Scholar 

  9. Amir G, Elvino SS (2005) Collaborative spectrum sensing for opportunistic access in fading environments. In: Proceedings of the 1st IEEE international symposium new frontiers dynamic spectrum network DySPAN. Baltimore, MD, United states, pp 131–136

    Google Scholar 

  10. Amir G, Elvino SS (2007) Spectrum sensing in cognitive radio networks: the cooperation-processing tradeoff. Wireless Commun Mobile Comput 7(9):1049–1060

    Article  Google Scholar 

  11. Sun CH, Zhang W, Letaief KB (2007) Cluster-based cooperative spectrum sensing in cognitive radio systems. In: IEEE international conference on communications, ICC ’07. Glasgow, pp 2511–2515

    Google Scholar 

  12. Zheng SK, Liang YC, Kam PY, et al (2009) Cross-layered design of spectrum sensing and MAC for opportunistic spectrum access. In Proceedings 2009 IEEE wireless communications and networking conference, WCNC 2009. Budapest, Hungary, pp 1–6

    Google Scholar 

  13. Zeng YH, Liang YC (2009) Spectrum-sensing algorithms for cognitive radio based on statistical covariances. IEEE Trans Veh Technol 58(4):1804–1815

    Article  Google Scholar 

  14. Yngve S, Tullberg H, Kronander J (2008) Sensor Selection for Cooperative Spectrum Sensing. 3rd IEEE symposium on new frontiers in dynamic spectrum access networks(DySPAN). IL, United States, Chicago, pp 1–11

    Google Scholar 

  15. Bhargava VK (2007) Adaptive wireless access system design for cognitive radio networks. 2007 IEEE radio and wireless symposium. Long Beach, CA, pp 5–6

    Chapter  Google Scholar 

  16. Lee W-Y, Akyildiz IF (2008) Optimal spectrum sensing framework for cognitive radio networks. IEEE Trans Wireless Commun 7(10):3845–3857

    Article  Google Scholar 

  17. Liang YC, Zeng YH, Peh E et al (2008) Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans Wireless Commun 7(4):1326–1337

    Article  Google Scholar 

  18. Shen JY, Jiang T, Liu SY et al (2009) Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks. IEEE Trans Wireless Commun 8(10):5166–5175

    Article  Google Scholar 

  19. Pei YY, Hoang AT, Liang YC (2007) Sensing-throughput tradeoff in cognitive radio networks: how frequently should spectrum sensing be carried out? In: 18th annual IEEE international symposium on personal, indoor and mobile radio communications, PIMRC’07. Greece, Athens, pp 1804–1805

    Google Scholar 

  20. Peh ECY, Liang YC, Guan YL et al (2009) Optimization of cooperative spectrum sensing in cognitive radio networks: a sensing-throughput tradeoff view. IEEE Trans Veh Technol 58(9):5294–5299

    Article  Google Scholar 

  21. Letaief KB, Zhang W (2009) Cooperative communications for cognitive radio networks. Proc IEEE 97(5):878–893

    Article  Google Scholar 

  22. Sun CH, Zhang W, Letaief KB (2007) Cooperative spectrum sensing for cognitive radios under bandwidth constraints. IEEE Wireless Commun. Networking Conference WCNC, Kowloon, China, pp 1–5

    Google Scholar 

  23. Zhang W, Mallik R, Letaief KB (2009) Optimization of cooperative spectrum sensing with energy detection in cognitive radio networks. IEEE Trans Wireless Commun 8(12):5761–5766

    Article  Google Scholar 

  24. Zhang W, Mallik RK and Letaief KB (2008) Cooperative spectrum sensing optimization in cognitive radio networks. In: IEEE international conference on communications. China, pp 3411–3415

    Google Scholar 

  25. Digham FF, Alouini MS, Simon MK (2007) On the Energy detection of unknown signals over fading channels. IEEE Trans Wireless Commun 55(1):21–24

    Article  Google Scholar 

  26. Urkowitz H (1967) Energy detection of unknown deterministic signals. Proc IEEE 55(4):523–531

    Article  Google Scholar 

  27. Zhang W, Letaief KB (2008) Cooperative spectrum sensing with transmit and relay diversity in cognitive radio networks-[transaction letters]. IEEE Trans Wireless Commun 7(12):4761–4766

    Article  Google Scholar 

  28. Shen J, Liu S, Zeng L et al (2009) Optimisation of cooperative spectrum sensing in cognitive radio network. IET Commun 3(7):1170–1178

    Article  Google Scholar 

  29. Boyd S P. Vandenberghe L (2004) Convex optimization. Cambridge University Press, USA

    Google Scholar 

  30. Riffiths DV, Smith IM (1991) Numerical methods for engineers. Blackwell Scientific, London

    Google Scholar 

  31. Zhao SJ, Zhao JX (2005) Signal detection and estimation theory. Tsinghua University Press, Beijing

    Google Scholar 

  32. Li ML, Yuan CW, Li L et al (2011) Performance analysis and optimization of cooperative spectrum sensing for maximizing secondary throughput. Tongxin Xuebao 32 (2):53–60

    Google Scholar 

  33. Li ML, Yuan CW, Li L (2011) Analysis of secondary throughput and optimization in cooperative spectrum sensing. J Chin Univ Post Telecom 18(4):39–44

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Meiling Li .

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Li, M., Wang, A., Pan, JS. (2016). The Relationship Among the Performance Parameters in CSS. In: Cognitive Wireless Networks Using the CSS Technology. Lecture Notes in Electrical Engineering, vol 384. Springer, Cham. https://doi.org/10.1007/978-3-319-31095-4_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-31095-4_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-31094-7

  • Online ISBN: 978-3-319-31095-4

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics