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Bandwidth-Efficient Cooperative Spectrum Sensing

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Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 116))

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Abstract

Cooperative spectrum sensing can achieve better detection performance by enabling Cognitive Radio (CR) users to report local sensing information for further combining. In the initial setup phase that the CR users are performing spectrum sensing, idle communication channels without the licensed user signal have not been well identified and the reporting bandwidth is quite limited. In this chapter, bandwidth-efficient cooperative spectrum sensing in a multiuser CR network is addressed. Based on the optimal structure with likelihood ratio test, a general approach is introduced that CR users simultaneously report individual sensing information to a combining node through the common control channel. The optimal design of local processing functions at the CR users and final decision rule at the combining node is discussed based on Bayesian criterion when the reporting channel is noisy and experiences fading. Calculation of probabilistic information involved in our design is given as well. In the proposed approach, the bandwidth required for reporting does not change with the number of cooperative users. Given proper preprocessing at individual users, our design maintains reasonable performance with the superposition of sensing data at the combining node. Simulation results also demonstrate the effectiveness of the proposed approach.

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References

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

    Article  Google Scholar 

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

    Google Scholar 

  3. Ma J, Li GY, Juang BH (2010) Signal processing in cognitive radio. Proc IEEE 97(5):805–823

    Google Scholar 

  4. Cabric D, Mishra SM, Brodersen RW (2004) Implementation issues in spectrum sensing for cognitive radios. In: Proceedings of the Asilomar conference signals, syst. and computer, Pacific Grove, pp 772–776

    Google Scholar 

  5. Haykin S, Thomson DJ, Reed JH (2010) Spectrum sensing for cognitive radio. Proc IEEE 97(5):849–877

    Google Scholar 

  6. Tang H (2005) Some physical layer issues of wide-band cognitive radio systems. In: Procedings of IEEE international symposium new frontiers in dynamic spectrum access networks, Baltimore, pp 151–159

    Google Scholar 

  7. Quan Z, Zhang W, Shellhammer SJ, Sayed AH (2011) Optimal spectral feature detection for spectrum sensing at very low SNR. IEEE Trans Commun 51:201–212

    Article  Google Scholar 

  8. Tian Z and Giannakis GB (2006) A wavelet approach to wideband spectrum sensing for cognitive radios. In: Proceedings of the international conference cognitive radio oriented wireless networks and communications, Mykonos, pp 1–5

    Google Scholar 

  9. Zeng Y and Liang Y-C (2009) Eigenvalue-based spectrum sensing algorithms for cognitive radio. IEEE Trans Commun 57:1784–1793

    Google Scholar 

  10. Ghasemi A and Sousa ES (2005) Collaborative spectrum sensing for opportunistic access in fading environments. In: Proceedings of the IEEE international symposium new frontiers in dynamic spectrum access networks, Baltimore, pp 131–136

    Google Scholar 

  11. Ghasemi A and Sousa ES (2006) Impact of user collaboration on the performance of opportunistic spectrum schemes. In: Proceedings of the IEEE vehicular technology conference, Montreal, pp 1–6

    Google Scholar 

  12. Mishra SM, Sahai A, Brodersen RW (2006) Cooperative sensing among cognitive radios. In: Proceedings of IEEE international conference communcations, Istanbul, pp 1658–1663

    Google Scholar 

  13. Ganesan G, Li YG (2007) Cooperative spectrum sensing in cognitive radio—Part I: multiuser networks. IEEE Trans Wireless Commun 6(6):2214–2222

    Google Scholar 

  14. Ganesan G, Li YG (2007) Cooperative spectrum sensing in cognitive radio—Part II: multiuser networks. IEEE Trans Wireless Commun 6(6):2214–2222

    Google Scholar 

  15. Ganesan G, Li YG, Bing B, Li S (2008) Spatiotemporal sensing in cognitive radio networks. IEEE J Sel Areas Commun 26(1):5–12

    Google Scholar 

  16. Čabrić D, Mishra SM, Willkomm D, Brodersen R, Wolisz A (2005) A cognitive radio approach for usage of virtual unlicensed spectrum. In: Proceedings of the 14th IST mobile and wireless communcations summit

    Google Scholar 

  17. Ma J Zhao G, Li YG (2008) Soft combination and detection for cooperative spectrum sensing in conitive radio networks. IEEE Trans Wireless Commun 7(11):4502–4507

    Google Scholar 

  18. Quan Z, Cui S, Sayed A (2008) Optimal linear cooperation for spectrum sensing in cognitive radio networks. IEEE J Sel Topics Signal Process 2(1):28–40

    Article  Google Scholar 

  19. Taricco G (2011) Optimization of linear cooperative spectrum sensing for cognitive radio networks. IEEE J Sel Topics Signal Process 5(1):77–86

    Article  Google Scholar 

  20. Chair Z and Varshney PK (1988) Distributed bayesian hypothesis testing with distributed data fusion. IEEE Trans Systems, Man Cybern 18(5):695–699

    Google Scholar 

  21. Chamberland JF, Veeravalli VV (2003) Decentralized detection in sensor networks. IEEE Trans Signal Process 55(1):21–24

    Google Scholar 

  22. Lunden J, Koivunen V, Huttunen A,Poor HV (2007) Censoring for collaborative spectrum sensing in cognitive radios. In: Proceedings of the Asilomar conference signals, systems and computer, Pacific Grove, pp 772–776

    Google Scholar 

  23. Anandkumar A, Tong L (2007) Type-based random access for distributed detection over multiaccess fading channels. IEEE Trans Signal Process 55(10):5032–5043

    Article  MathSciNet  Google Scholar 

  24. Zhang S, Wu T, Lau VKN (2009) A low-overhead energy detection based cooperative sensing protocol for cognitive radio systems. IEEE Trans Wireless Commun 8(11):5575–5581

    Article  Google Scholar 

  25. Chair Z, Varshney PK (1986) Optimal data fusion in multiple sensor detection systems. IEEE Trans Aerosp Electron Syst 1(22):98–101

    Google Scholar 

  26. Liu K and Sayeed AM (2004) Optimal distributed detection strategies for wireless sensor networks. In: Proceedings of the Allerton conference communication, control and computing, Monticello

    Google Scholar 

  27. Papoulis A (2002) Probability, random variables, and stochastic process, 4th edn. McGraw-Hill, New York

    Google Scholar 

  28. Vaishampayan VA (1993) Design of multiple description scalar quantizers. IEEE Trans Inform Theory 39(3):821–834

    Article  MATH  Google Scholar 

  29. Digham FF, Alouini M-S, Simon MK (2007) On the energy detection of unknown signals over fading channels. IEEE Trans Commun 55(1):21–24

    Article  Google Scholar 

  30. Kim H and Shin G (2008) Efficient discovery of spectrum opportunities with MAC-layer sensing in cognitive radio networks. IEEE Trans Mobile Comput 7(5):533–545

    Article  MathSciNet  Google Scholar 

  31. Vujitic B, Cackov N, Vujicic S, Trajkovid L (2005) Modeling and characterization of traffic in public safety wireless networks. In: Proceedings of the international symposium performance evaluation of computer and telecommunications systems, Philadelphia, pp 214–223

    Google Scholar 

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Authors and Affiliations

  1. Georgia Institute of Technology, Atlanta, USA

    X. Zhou & G. Y. Li

  2. Wireless Advanced Research, Huawei Technologies, Plano, USA

    D. Li, D. Wang & A. C. K. Soong

Authors
  1. X. Zhou
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  2. G. Y. Li
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  3. D. Li
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  4. D. Wang
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  5. A. C. K. Soong
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Corresponding author

Correspondence to X. Zhou .

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Editors and Affiliations

  1. , Research Institute for Networks & Comms, Dublin City University, Glasnevin, Dublin, Ireland

    Hrishikesh Venkataraman

  2. School of Electronic Engineering, Dublin City University, Research & Engineering Building, Glasnevin, Dublin, Ireland

    Gabriel-Miro Muntean

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© 2012 Springer Science+Business Media Dordrecht

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Zhou, X., Li, G.Y., Li, D., Wang, D., Soong, A.C.K. (2012). Bandwidth-Efficient Cooperative Spectrum Sensing. In: Venkataraman, H., Muntean, GM. (eds) Cognitive Radio and its Application for Next Generation Cellular and Wireless Networks. Lecture Notes in Electrical Engineering, vol 116. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-1827-2_3

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  • DOI: https://doi.org/10.1007/978-94-007-1827-2_3

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  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-1826-5

  • Online ISBN: 978-94-007-1827-2

  • eBook Packages: EngineeringEngineering (R0)

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