The Community for Technology Leaders
RSS Icon
Subscribe
Issue No.03 - March (2013 vol.12)
pp: 461-474
You-En Lin , Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
Kun-Hsing Liu , Inst. for Inf. Ind., Taipei, Taiwan
Hung-Yun Hsieh , Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
ABSTRACT
Spectrum sensing is an important step toward enabling dynamic spectrum access in cognitive radio networks. To ensure that primary users are properly protected while maximizing the performance of secondary users, most related work considers the metrics of probabilities of missed detection and false alarm for determining optimal spectrum sensing parameters. In this paper, we argue that spectrum sensing based entirely on the two metrics is unable to maximize spectrum utilization for dynamic spectrum access. We show that, to meet the requirement of the probability of missed detection, conventional spectrum sensing techniques can unnecessarily increase the probability of false alarm in scenarios with good spectrum reuse opportunity, thus lowering the ability to leverage spectrum holes. To address this problem, we define the probability of interference and propose a new metric for spectrum sensing to consider both the probabilities of interference and missed detection. We first investigate the problem of optimal spectrum hole discovery for a single secondary user based on the proposed metric, and then extend to the problem of cooperative spectrum sensing among a group of secondary users. Compared against conventional sensing techniques presented in related work, we show through simulations that interference-aware spectrum sensing can potentially result in better utilization of the spectrum by allowing the secondary user to maximize its transmission opportunity without sacrificing the desired degree of protection for primary users.
INDEX TERMS
radiofrequency interference, cognitive radio, cooperative communication, dynamic programming, radio spectrum management, dynamic programming, dynamic spectrum access, cognitive radio network, secondary user, probability, missed detection, false alarm, optimal spectrum sensing parameter, spectrum utilization, spectrum reuse opportunity, optimal spectrum hole discovery, cooperative spectrum sensing, interference-aware spectrum sensing, transmission opportunity, primary user, Detectors, Interference, Measurement, Transmitters, Optimization, Mobile computing, dynamic programming, Spectrum detection, cooperative sensing, data and decision fusion
CITATION
You-En Lin, Kun-Hsing Liu, Hung-Yun Hsieh, "On Using Interference-Aware Spectrum Sensing for Dynamic Spectrum Access in Cognitive Radio Networks", IEEE Transactions on Mobile Computing, vol.12, no. 3, pp. 461-474, March 2013, doi:10.1109/TMC.2012.16
REFERENCES
[1] T. Yucek and H. Arslan, "A Survey of Spectrum Sensing Algorithms for Cognitive Radio Applications," IEEE Comm. Surveys and Tutorials, vol. 11, no. 1, pp. 116-130, Jan.-Mar. 2009.
[2] D. Datla, A. Wyglinski, and G. Minden, "A Spectrum Surveying Framework for Dynamic Spectrum Access Networks," IEEE Trans. Vehicular Technology, vol. 58, no. 8, pp. 4158-4168, Oct. 2009.
[3] S.M. Kay, Fundamentals of Statistical Signal Processing: Detection Theory. Prentice Hall, Feb. 1998.
[4] A. Sahai, R. Tandra, S.M. Mishra, and N. Hoven, "Fundamental Design Tradeoffs in Cognitive Radio Systems," Proc. First Int'l Workshop Technology and Policy for Accessing Spectrum, 2006.
[5] F. Moghimi, A. Nasri, and R. Schober, "Lp-Norm Spectrum Sensing for Cognitive Radio Networks Impaired by Non-Gaussian Noise," Proc. IEEE GLOBECOM, pp. 1-6, Nov. 2009.
[6] V. Fodor, I. Glaropoulos, and L. Pescosolido, "Detecting Low-Power Primary Signals via Distributed Sensing to Support Opportunistic Spectrum Access," Proc. IEEE Int'l Conf. Comm. (ICC '09), pp. 1-6, June 2009.
[7] Y.-C. Liang, Y. Zeng, E. Peh, and A.T. Hoang, "Sensing-Throughput Tradeoff for Cognitive Radio Networks," IEEE Trans. Wireless Comm., vol. 7, no. 4, pp. 1326-1337, Apr. 2008.
[8] T. Zhang, Y. Wu, K. Lang, and D. Tsang, "Optimal Scheduling of Cooperative Spectrum Sensing in Cognitive Radio Networks," IEEE Systems J., vol. 4, no. 4, pp. 535-549, Dec. 2010.
[9] S. Huang, X. Liu, and Z. Ding, "Optimal Transmission Strategies for Dynamic Spectrum Access in Cognitive Radio Networks," IEEE Trans. Mobile Computing, vol. 8, no. 12, pp. 1636-1648, Dec. 2009.
[10] W. Zhang, R. Mallik, and K. Letaief, "Optimization of Cooperative Spectrum Sensing with Energy Detection in Cognitive Radio Networks," IEEE Trans. Wireless Comm., vol. 8, no. 12, pp. 5761-5766, Dec. 2009.
[11] W.-Y. Lee and I. Akyildiz, "Optimal Spectrum Sensing Framework for Cognitive Radio Networks," IEEE Trans. Wireless Comm., vol. 7, no. 10, pp. 3845-3857, Oct. 2008.
[12] Z. Quan, S. Cui, A.H. Sayed, and H.V. Poor, "Wideband Spectrum Sensing in Cognitive Radio Networks," Proc. IEEE Int'l Conf. Comm. (ICC), pp. 901-906, May 2008.
[13] P. Jia, M. Vu, and T. Le-Ngoc, "Capacity Impact of Location-Aware Cognitive Sensing," Proc. IEEE GLOBECOM, pp. 1-6, 2009.
[14] F.F. Digham, M.-S. Alouini, and M.K. Simon, "On the Energy Detection of Unknown Signals over Fading Channels," IEEE Trans. Comm., vol. 55, no. 1, pp. 21-24, Jan. 2007.
[15] Z. Quan, S. Cui, and A. Sayed, "Optimal Linear Cooperation for Spectrum Sensing in Cognitive Radio Networks," IEEE J. Selected Topics in Signal Processing, vol. 2, no. 1, pp. 28-40, Feb. 2008.
[16] J. Ma, G. Zhao, and Y. Li, "Soft Combination and Detection for Cooperative Spectrum Sensing in Cognitive Radio Networks," IEEE Trans. Wireless Comm., vol. 7, no. 11, pp. 4502-4507, Nov. 2008.
[17] E. Peh, Y.-C. Liang, Y.L. Guan, and Y. Zeng, "Optimization of Cooperative Sensing in Cognitive Radio Networks: A Sensing-Throughput Tradeoff View," IEEE Trans. Vehicular Technology, vol. 58, no. 9, pp. 5294-5299, Nov. 2009.
[18] A. Min, X. Zhang, and K. Shin, "Spatio-Temporal Fusion for Small-Scale Primary Detection in Cognitive Radio Networks," Proc. IEEE INFOCOM, pp. 1-5, Mar. 2010.
[19] W. Han, J. Li, Z. Tian, and Y. Zhang, "Efficient Cooperative Spectrum Sensing with Minimum Overhead in Cognitive Radio," IEEE Trans. Wireless Comm., vol. 9, no. 10, pp. 3006-3011, Oct. 2010.
[20] E. Visotsky, S. Kuffner, and R. Peterson, "On Collaborative Detection of TV Transmissions in Support of Dynamic Spectrum Sharing," Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 338-345, Nov. 2005.
[21] A. Ghasemi and E. Sousa, "Collaborative Spectrum Sensing for Opportunistic Access in Fading Environments," Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 131-136, Nov. 2005.
[22] R. Tandra, A. Sahai, and S. Mishra, "What Is a Spectrum Hole and What Does It Take to Recognize One?" Proc. IEEE, vol. 97, no. 5, pp. 824-848, May 2009.
[23] H.-H. Choi, K. Jang, and Y. Cheong, "Adaptive Sensing Threshold Control Based on Transmission Power in Cognitive Radio Systems," Proc. Third Int'l Conf. Cognitive Radio Oriented Wireless Networks and Comm. (Crowncom), pp. 1-6, May 2008.
[24] J. Nasreddine, J. Riihijarvi, and P. Mahonen, "Location-Based Adaptive Detection Threshold for Dynamic Spectrum Access," Proc. IEEE Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN), pp. 1-10, Apr. 2010.
[25] C. Steiner and A. Wittneben, "Low Complexity Location Fingerprinting with Generalized UWB Energy Detection Receivers," IEEE Trans. Signal Processing, vol. 58, no. 3, pp. 1756-1767, Mar. 2010.
[26] W. Gardner, "Signal Interception: A Unifying Theoretical Framework for Feature Detection," IEEE Trans. Comm., vol. 36, no. 8, pp. 897-906, Aug. 1988.
[27] W. Gardner and C. Spooner, "Signal Interception: Performance Advantages of Cyclic-Feature Detectors," IEEE Trans. Comm., vol. 40, no. 1, pp. 149-159, Jan. 1992.
[28] R. Tandra and A. Sahai, "SNR Walls for Signal Detection," IEEE J. Selected Topics in Signal Processing, vol. 2, no. 1, pp. 4-17, Feb. 2008.
[29] H. Tuy, "Monotonic Optimization: Problems and Solution Approaches," SIAM J. Optimization, vol. 11, no. 2, pp. 464-494, 2000.
[30] C.-S. Chow and J. Tsitsiklis, "An Optimal Multigrid Algorithm for Continuous State Discrete Time Stochastic Control," Proc. IEEE 27th Conf. Decision and Control, vol. 3, pp. 1908-1912, Dec. 1988.
[31] G. Cornuejols, "Valid Inequalities for Mixed Integer Linear Programs," Math. Programming, vol. 112, no. 1, pp. 3-44, July 2008.
[32] A. Nasif and B. Mark, "Opportunistic Spectrum Sharing with Multiple Cochannel Primary Transmitters," IEEE Trans. Wireless Comm., vol. 8, no. 11, pp. 5702-5710, Nov. 2009.
73 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool