Abstract
Within the sequential sensing and transmission paradigm (SSTP), spectrum sensing over the whole primary user (PU) band always suspends secondary user (SU) data transmission in the sensing interval. Delay incurred by this kind of suspension may be intolerable to delay sensitive SU services. To alleviate this problem, we adopt a parallel sensing and transmission paradigm (PSTP), within which the SU transmits and senses simultaneously. In this paper, we investigate the relationship between the achievable SU throughput and bandwidth allocated for spectrum sensing within the PSTP, under the constraint that the PU is sufficiently protected. We also study the delay improvements of the PSTP over that of the SSTP. Both theoretical analyses and simulation results that there exists an optimal sensing bandwidth that maximizes the achievable SU throughput within the PSTP. Furthermore, compared to the SSTP, the SU delay is reduced by using the PSTP.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
FCC, Spectrum policy task force report (November 2002), http://www.fcc.gov/sptf/files/SEWGFinalReport-1.pdf
FCC, Notice of proposed rule making FCC 04-113: Unlicensed operation in the TV broadcast bands (ET Docket No.04-186) (May 2004), http://www.naic.edu/~phil/rfi/fccactions/FCC-04-113A1.pdf
Yücek, T., Arslan, H.: A survey of spectrum sensing algorithms for cognitive radio applications. IEEE Commun. Surveys Tuts. 11(1), 116–130 (2009)
Zeng, Y.H., Liang, Y.C., Lei, Z., Oh, S.W., Chin, F., Sun, S.: Worldwide regulatory and standardization activities on cognitive radio. In: DySPAN, Singapore, pp. 1–9 (April 2010)
Ma, J., Li, G.Y., Juang, B.H.: Signal Processing in Cognitive Radio. IEEE Proc. 97(5), 805–823 (2009)
Liang, Y.C., Zeng, Y.H., Peh, E.C.Y., Hoang, A.T.: Sensing-throughput tradeoff for cognitive radio networks. IEEE Trans. Wireless Commun. 7(4), 1326–1337 (2008)
Hoang, A.T., Liang, Y.C., Zeng, Y.H.: Adaptive joint scheduling of spectrum sensing and data transmission in cognitive radio networks. IEEE Trans. Commun. 58(1), 235–246 (2010)
Choi, K.W.: Adaptive sensing technique to maximize spectrum utilization in cognitive radio. IEEE Trans. Veh. Technol. 59(2), 992–998 (2010)
Shen, J., Jiang, T., Liu, S., Zhong, Z.: Maximum channel throughput via cooperative spectrum sensing in cognitive radio networks. IEEE Trans. Wireless Commun. 8(10), 5166–5175 (2009)
Kang, X., Liang, Y.C., Garg, H.K., Zhang, L.: Sensing based spectrum sharing in cognitive radio networks. IEEE Trans. Veh. Technol. 58(8), 4649–4654 (2009)
Ganesan, G., Li, Y., Bing, B., Li, S.: Spatiotemporal sensing in cognitive radio networks. IEEE J. Sel. Areas Commun. 26(1), 5–12 (2008)
Li, H., Dai, H., Li, C.: Collaborative quickest spectrum sensing via random broadcast in cognitive radio systems. IEEE Trans. Wireless Commun. 9(7), 2338–2348 (2010)
Yin, W., Ren, P.: A suboptimal spectrum sensing scheme for OFDM signal in cognitive radios. In: Globecom, Miami, pp. 1–6 (December 2010)
Urkowitz, H.: Energy detection of unknown deterministic signals. IEEE Proc. 55(4), 523–531 (1967)
Proakis, J.G.: Digital Communication, 4th edn., translated by Junli Zhang etc. Publishing House of Electronic Industry (2006)
ETSI EN 300 744 V1.6.1, Digital Video Broadcasting (DVB): Framing structure, channel coding and modulation for digital terrestrial television, http://www.dvb.org/technology/standards/index.xml
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Yin, W., Ren, P., Yan, S. (2012). Throughput and Sensing Bandwidth Tradeoff in Cognitive Radio Networks. In: Ren, P., Zhang, C., Liu, X., Liu, P., Ci, S. (eds) Wireless Internet. WICON 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 98. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30493-4_2
Download citation
DOI: https://doi.org/10.1007/978-3-642-30493-4_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-30492-7
Online ISBN: 978-3-642-30493-4
eBook Packages: Computer ScienceComputer Science (R0)