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http://dx.doi.org/10.3837/tiis.2014.03.002

A Novel Definition of Spectrum Holes for Improved Spectrum Utilization Efficiency  

Li, Xiaoqiang (College of Communications Engineering, PLA University of Science and Technology)
Zhou, Qi (Institute of China Electronic System Engineering Corporation)
Dai, Hui (Institute of China Electronic System Engineering Corporation)
Zhang, Jie (Institute of China Electronic System Engineering Corporation)
Li, Ying (Institute of China Electronic System Engineering Corporation)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.3, 2014 , pp. 749-761 More about this Journal
Abstract
Improving spectrum utilization efficiency is a fundamental goal of dynamic spectrum access technology. The definition of spectrum holes determines how to detect and exploit them. Current definitions of spectrum holes are ineffective in exploiting spatial-temporal spectrum holes. In this paper, a novel definition of spectrum holes is proposed, in which throughput loss indicates the impact of secondary users on primary users. The definition specifies spectrum holes, unifies the impact of secondary users on primary users and is effective exploiting spatial-temporal spectrum holes. Theoretical analysis and numerical simulations show that the new definition proposed in this paper significantly improves the spectrum utilization efficiency.
Keywords
spatial-temporal spectrum holes; dynamic spectrum access; cognitive radio; spectrum utilization efficiency; spectrum sensing;
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1 Y.Xu, J. Wang, Q. Wu, et al, "Opportunistic spectrum access in unknown dynamic environment: A game-theoretic stochastic learning solution," IEEE Transactions on Wireless Communications, vol. 11, no. 4, pp. 1380-1391, 2012. http://dx.doi.org/10.1109/TWC.2012.020812.110025   DOI   ScienceOn
2 R. Tandra, M. Mishra, A. Sahai, "What is a spectrum hole and what does it take to recognize one?" Proc. IEEE, vol. 97, no. 5, pp. 824-848, May 2009. http://dx.doi.org/10.1109/JPROC.2009.2015710   DOI   ScienceOn
3 G.Ding, Q.Wu, F.Song, et al, "Joint exploration and exploitation of spatial-temporal spectrum hole for cognitive vehicle radios," in Proc. of IEEE ICSPCC. Conf., pp. 1-4, Sep. 2011. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6061606
4 V. Mai, N. Devroye, V. Tarokh, "On the primary exclusive region of cognitive networks," IEEE Transactions on Wireless Communications, vol.8, pp. 3380-3385, 2009. http://dx.doi.org/10.1109/TWC.2009.080454   DOI   ScienceOn
5 Q Wu, G Ding, J Wang, Y Yao, "Spatial-temporal opportunity detection for spectrum heterogeneous cognitive radio networks: Two-dimensional sensing," IEEE Transactions on Wireless Communications, vol. 12, no.2, pp. 516-526, Feb. 2013. http://dx.doi.org/10.1109/TWC.2012.122212.111638   DOI   ScienceOn
6 G Ding, J Wang, Q Wu, F Song, Y Chen, "Spectrum Sensing in Opportunity-Heterogeneous Cognitive Sensor Networks: How to Cooperate?" IEEE Sensors Journal, 2013. http://dx.doi.org/10.1109/JSEN.2013.2264161
7 P. Jia, M. Vu, T. Le-Ngoc. S.-C. Hong, and T. Basar, "Capacity-and Bayesian-based cognitive sensing with location side information," IEEE Journal on Selected Areas in Communications, vol. 29, pp. 276-289, Feb. 2011. http://dx.doi.org/10.1109/JSAC.2011.110202   DOI   ScienceOn
8 Z. Wei, Z. Feng, Q. Zhang, W. Li, "Three regions for space-time spectrum sensing and access in cognitive radio networks," IEEE Global Communications Conference, pp. 1283 - 1288, 2012. http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=6503290
9 Y.-C. Liang, Y. Zeng, ECY Peh, and AT Hoang, "Sensing- Throughput Tradeoff for Cognitive Radio Networks," IEEE Transactions on Wireless Communications, vol. 7, pp. 1326 - 1337, Apr. 2008. http://dx.doi.org/10.1109/TWC.2008.060869   DOI   ScienceOn
10 T. M. Cover and J. A. Thomas, Elements of Information Theory. New York: Wiley-Interscience, 1990. http://jpkc2010.nudt.edu.cn/xxlybmjc/jishuwenxian/wenxian/Elements%20%20of%20%20Information.PDF
11 Federal Commun. Comm., Spectrum Policy Task Force Report, Washington, DC, ET Docket No. 02-135, Nov. 2002. http://www.fcc.gov/sptf
12 M.Islam, C. Koh, S. Oh, X. Qing, Y. Lai, C. Wang, Y.-C. Liang, B. Toh, F. Chin, G. Tan, and W. Toh, "Spectrum survey in Singapore: Occupancy measurements and analysis," in Proc. of 3rd Int. Conf. CROWNCOM, pp. 1-7, May 2008. http://www.pwtc.eee.ntu.edu.sg/News/Documents/Spectrum%20survey%20in%20Singapore_%20Occupancy%20measurements%20and%20analyses.pdf
13 D. Datla, A. M. Wyglinski, G. J. Minden, "A spectrum surveying framework for dynamic spectrum access networks," IEEE Trans. Veh. Technol., vol. 58, no. 8, pp. 4158-4168, Oct. 2009. http://dx.doi.org/10.1109/TVT.2009.2021601   DOI   ScienceOn
14 Y.Xu, A. Anpalagan, Q.Wu, et al., "Decision-theoretic distributed channel selection for opportunistic spectrum access: Strategies, challenges and solutions," IEEE Communications Surveys and Tutorials, to be published. http://dx.doi.org/10.1109/SURV.2013.030713.00189
15 J. Mitola, G. Q. Maguire, "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999. http://dx.doi.org/10.1109/98.788210   DOI   ScienceOn
16 J. Mitola, "Cognitive radio-An integrated agent architecture for software-defined radio," Ph.D. dissertation, Roy. Inst. Technol., Stockholm, Sweden, May, 2000. http://web.it.kth.se/-maguire/jmitola/Mitola_Dissertation8_Integrated.pdf
17 Y.Xu, J. Wang, Q. Wu, et al, "Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games," IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 2, pp. 180-194, 2012. http://dx.doi.org/10.1109/JSTSP.2011.2176916   DOI   ScienceOn