Abstract
According to the analysis above, cognitive information awareness is the first step for a CWN to gather the necessary network information such as the available spectrum and network operation parameters. Cognitive ability can be mainly categorized as spectrum sensing, cognitive pilot channel (CPC) and cognitive database according to different information and collection methods. Wherein, spectrum sensing determines the available spectrum parameters including frequency, bandwidth, and idle period. The CPC and cognition database can be used to collect and exchange the network information such as the radio access technology (RAT) mode, network pilot channel information, system bandwidth, carrier frequency, transmit power, and policies.
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References
Haykin S, Thomson DJ, Reed JH (2008) Spectrum sensing for cognitive radio. Proceedings of the IEEE 97(5):849–877
Kolodzy P (2001) Next generation communications: kickoff meeting. Paper presented at the proceedings of DARPA, Oct 2001
Yucek T, Arslan H (2009) A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun Surv Tutor 11(1):116–130
FCC Doc ET Docket: 03-289 (2003) Establishment of interference temperature metric to quantify and manage interference and to expand available unlicensed operation in certain fixed mobile and satellite frequency bands, FCC
Yucek T, Arslan H (2006) Spectrum characterization for opportunistic cognitive radio systems. Paper presented at the proceedings of military communication conference, Washington DC, 23–25 Oct 2006
Quan Z, Shellhammer SJ, Zhang W et al (2009) Spectrum sensing by cognitive radios at very low SNR. Paper presented at the proceedings of global communications conference, Beijing, Washington DC, 30 Nov 2009
Tang H (2005) Some physical layer issues of wide-band cognitive radio systems. Paper presented at the proceedings of international symposium on new frontiers in dynamic spectrum access networks, Baltimore, Washington DC, 8–11 Nov 2005
Weidling F, Datla D, Petty V et al (2005) A framework for RF spectrum measurements and analysis. Paper presented at the proceedings of international symposium on new frontiers in dynamic spectrum access networks, Baltimore, Washington DC, 8–11 Nov 2005
Lehtomaki L, Vartiainen J, Juntti M et al (2006) Spectrum sensing with forward methods. Paper presented at the Proceedings of MILCOM, Washington DC, 23–25 Oct 2006
Gardner UW (1991) Exploitation of spectral redundancy in cyclostationary signals. IEEE Sign Proces Mag 8(2):14–36
Muraoka K, Ariyoshi M, Fujii T (2008) A novel spectrum-sensing method based on maximum cyclic autocorrelation selection for cognitive radio system. Paper presented at the proceedings of 3rd symposium on new frontiers in dynamic spectrum access networks, Dublin, Washington DC, 14–17 Oct 2008
Du KL, Wai HM (2010) Affordable cyclo-stationarity-based spectrum sensing for cognitive radio with smart antennas. IEEE Trans Veh Technol 59(4):1877–1887
Proakis JG (2001) Digital communications, 4th edn. McGraw-Hill, New York
Tandra R, Sahai A (2005) Fundamental limits on detection in low SNR under noise uncertainty. Paper presented at the proceedings of international conference on wireless networks, communication and mobile computing, Maui, Washington DC, 13–16 June 2005
Tandra R, Sahai A (2008) SNR walls for signal detection. IEEE J Sel Top Sign Proces 2(1):4–17
Cabric D, Mishra S, Brodersen R (2004) Implementation issues in spectrum sensing for cognitive radios. Paper presented at the proceedings of asilomar conference on signals, system, computation, Washington DC, 7–10 Nov 2004
Cabric D, Tkachenko A, Brodersen R (2006) Spectrum sensing measurements of pilot, energy, and collaborative detection. Paper presented at the Proceedings of MILCOM, Washington DC, 23–25 Oct 2006
Hu W, Willkomm D, Abusubaih M et al (2007) Dynamic frequency hopping communities for efficient IEEE 802.22 operation. IEEE Commun Mag 45(5):80–87
Hillenbrand J, Weiss T, Jondral F (2005) Calculation of detection and false alarm probabilities in spectrum pooling systems. IEEE Commun Lett 9(4):349–351
Peh E, Liang YC (2007) Optimization of cooperative sensing for cognitive radio networks. Paper presented at the Proceedings of Wireless Communications and Networking Conference, Hong Kong, Washington DC, 11–15 March 2007
Liang YC, Zeng YH, Peh E et al (2008) Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans Wireless Commun 7(4):1326–1337
Meng J, Yin WT, Li HS et al (2011) Collaborative spectrum sensing from sparse observation in cognitive radio networks. IEEE J Sel Areas Commun 29(2):327–337
Duan DL, Yang LQ, Principe JC (2010) Cooperative Diversity of Spectrum sensing for cognitive radio systems. IEEE Trans Sign Proces 58(6):3218–3227
Li HS, Zhu H (2010) Catch me if you can: an abnormality detection approach for collaborative spectrum sensing in cognitive radio networks. IEEE Trans Wireless Commun 9(11):3554–3565
Wang ZL, Feng ZY, Zhang P (2011) An iterative Hungarian algorithm based coordinated spectrum sensing strategy. IEEE Commun Lett 15(1):49–51
Lee CH, Wolf W (2007) Multiple access-inspired cooperative spectrum sensing for cognitive radio. Paper presented at the IEEE MILCOM, Orlando, FL, 29–31 Oct 2007
Kuhn HW (1955) The Hungarian Method for the Assignment and Transportation Problems. Naval Res Logist Quart 2(1–2):83–97
Bkassiny M, Jayaweera SK (2010) Optimal channel and power allocation for secondary users in cooperative cognitive radio networks. Paper presented at the special session on advanced radio access techniques for energy-efficient communications in 2nd international conference on mobile lightweight wireless systems, Barcelona, Spain, 10–12 May 2010
Federal Communications Commission (2008) In the matter of unlicensed operation in the tv broadcast bands: second report and order and memorandum opinion and order. Tech Rep
Kang KM, Park JC, Cho SI et al (2012) Deployment and coverage of cognitive radio networks in TV white space. IEEE Commun Lett 50(12):88–94
ECC report 159 (2011) Technical and operational requirements for the possible operation of cognitive radio systems in the ‘White Spaces’ of the frequency band 470–790 MHz, report out for public consultation
Wang ZL, Feng ZY, Zhang D et al (2011) optimized strategies for coordinated spectrum sensing in cognitive radio networks. Paper presented at the CROWNCOM, Osaka, 1–3 June 2011
IST-2003-507995 E2R (End-to-End Reconfigurability) Project, http://e2r.motlabs.com
Zhang QX, Feng ZY (2009) A novel mesh division scheme using cognitive pilot channel in cognitive radio environment. Paper presented at the IEEE 70th V TC, Anchorage, 20–23 Sept 2009
Zhang QX, Feng ZY, Zhang GY (2010) A novel homogeneous mesh grouping scheme for broadcast cognitive pilot channel in cognitive wireless networks. Paper presented at the IEEE International Conference on Commun, Cape Town, 23–27 May 2010
Zhang QX, Feng ZY, Zhang GY (2012) Efficient mesh division and differential information coding schemes in broadcast cognitive pilot channel. Wireless Pers Commun 63(2):363–392
Wei ZQ, Feng ZY (2011) A geographically homogeneous mesh grouping scheme for broadcast cognitive pilot channel in heterogeneous wireless networks. Paper presented at the IEEE GLOBECOM Workshops, Houston, 5–9 Dec 2011
Feng ZY, Wei ZQ, Zhang QX et al (2012) Fractal theory based dynamic mesh grouping scheme for efficient cognitive pilot channel design. Chin Sci Bull 57(28–29):3684–3690
3GPP TR 36.932 V12.1.0 (2013) Scenarios and requirements for small cell enhancements for E-UTRA and E-UTRAN (Release 12)
Perez-Romero J, Sallent O, Agusti R et al (2007) A novel on-demand cognitive pilot channel enabling dynamic spectrum allocation. Paper presented at the 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks, Dyspan, 17–20 April 2007
ETSI TR 102 683 (2009) Reconfigurable radio systems (RRS)—cognitive pilot channel (CPC)
ETSI TR 102 682 (2009) Reconfigurable radio systems (RRS)—functional architecture for management and control of reconfigurable radio systems
Report ITU-R M.2225 (2011) Introduction to cognitive radio systems in the land mobile service
Report ITU-R M.2242 (2011) Cognitive radio systems specific for international mobile telecommunications systems
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Feng, Z., Zhang, Q., Zhang, P. (2015). Cognitive Information Awareness and Delivery. In: Cognitive Wireless Networks. SpringerBriefs in Electrical and Computer Engineering. Springer, Cham. https://doi.org/10.1007/978-3-319-15768-9_4
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DOI: https://doi.org/10.1007/978-3-319-15768-9_4
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