Browse > Article
http://dx.doi.org/10.1109/JCN.2014.000033

Two-Dimensional POMDP-Based Opportunistic Spectrum Access in Time-Varying Environment with Fading Channels  

Wang, Yumeng (Institute of Communications Engineering, PLA University of Science and Technology)
Xu, Yuhua (Institute of Communications Engineering, PLA University of Science and Technology)
Shen, Liang (Institute of Communications Engineering, PLA University of Science and Technology)
Xu, Chenglong (Institute of Communications Engineering, PLA University of Science and Technology)
Cheng, Yunpeng (Institute of Communications Engineering, PLA University of Science and Technology)
Publication Information
Journal of Communications and Networks / v.16, no.2, 2014 , pp. 217-226 More about this Journal
Abstract
In this research, we study the problem of opportunistic spectrum access (OSA) in a time-varying environment with fading channels, where the channel state is characterized by both channel quality and the occupancy of primary users (PUs). First, a finite-state Markov channel model is introduced to represent a fading channel. Second, by probing channel quality and exploring the activities of PUs jointly, a two-dimensional partially observable Markov decision process framework is proposed for OSA. In addition, a greedy strategy is designed, where a secondary user selects a channel that has the best-expected data transmission rate to maximize the instantaneous reward in the current slot. Compared with the optimal strategy that considers future reward, the greedy strategy brings low complexity and relatively ideal performance. Meanwhile, the spectrum sensing error that causes the collision between a PU and a secondary user (SU) is also discussed. Furthermore, we analyze the multiuser situation in which the proposed single-user strategy is adopted by every SU compared with the previous one. By observing the simulation results, the proposed strategy attains a larger throughput than the previous works under various parameter configurations.
Keywords
Cognitive radio; finite-state Markov channel; opportunistic spectrum access; partially observable Markov decision process;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Q. Zhao, L. Tong, and A. Swami, "Decentralized cognitive MAC for opportunistic spectrum access in ad hoc networks: A POMDP framework," IEEE Sel. Areas Commun., vol. 25, no. 3, pp.589-600, Apr. 2007.   DOI   ScienceOn
2 Y. X. Chen, Q. Zhao, and A. Swami, "Bursty traffic in energy-constrained opportunistic spectrum access," in Proc. IEEE GLOBECOM, 2007, pp. 4641-4646.
3 Y. X. Chen, Q. Zhao, and A. Swami, "Joint design and separation principle for opportunistic spectrum access in the presence of sensing errors," IEEE Trans. Inf. Theory, vol. 54, pp. 2053-2071, May 2008.   DOI   ScienceOn
4 A. Honang, Y. H. Liang, and D.Wang, "Opportunistic spectrum access for energy-constrained cognitive radio," in Proc. IEEE VTC, 2008.
5 Q. Zhao, B. Krishnamachari, and K. Q. Liu, "On myopic sensing for multichannel opportunistic access: Structure, optimality, and performance," IEEE Trans. Wireless Commun., vol. 7, pp. 5431-5440, Dec. 2008.   DOI   ScienceOn
6 S. Ahmad, M. Y. Liu, and T. Javidi, "Optimality of myopic sensing in multichannel opportunistic access," IEEE Trans. Inf. Theory, vol. 55, pp. 4040-4050, Sept. 2009.   DOI   ScienceOn
7 M.M. Rashid, J. Hossain, E. Hossain, and V.K. Bhargava, "Opportunistic spectrum access in cognitive radio networks: A queueing analytic model and admission controller design," in Proc. IEEE GLOBECOM, 2007.
8 Q. Q. Zhang and S. Kassam, "Finite-state Markov model for Rayleigh fading channels," IEEE Trans. Commun., vol. 47, pp. 1688-1692, 1999.   DOI   ScienceOn
9 B.W. Li, P. L. Yang, and J. L.Wang, "Optimal frequency-temporal opportunity exploitation for multichannel ad hoc networks," IEEE Trans. Parallel and Distrib. Syst., vol. 23, no. 12, pp. 2289-2302, Dec. 2012.   DOI   ScienceOn
10 Y. H. Xu et al., "Decision-theoretic distributed channel selection for opportunistic spectrum access: Strategies, challenges and solutions," IEEE commun. Survey & Tutorial, vol. 15, no. 4, pp. 1689-1713, 2013.   DOI   ScienceOn
11 Y. H. Xu et al., "Opportunistic spectrum access in cognitive radio networks: Global optimization using local interaction games," IEEE J. Sel. Topics in Signal Process., vol. 6, no. 2, pp. 180-194, 2012.   DOI   ScienceOn
12 Y. H. Xu et al., "Opportunistic spectrum access in unknown dynamic environment: A game-theoretic stochastic learning solution," IEEE Trans. Wireless Commun., vol. 11, no. 4, pp. 1380-1391, 2012.   DOI   ScienceOn
13 C. Stevenson et al., "IEEE 802.22: The first cognitive radio wireless regional area network standard," IEEE Commun. Mag., vol. 47, no. 1, pp. 130-138, Jan. 2009.   DOI   ScienceOn
14 A. B. Flores et al., "IEEE 802.11af: A standard for TV white space spectrum sharing," IEEE Commun. Mag., vol. 51, no. 10, pp. 92-100, Oct. 2013.
15 A. W. Min, K. G. Shin, and X. Hu, "Secure cooperative sensing in IEEE 802.22 WRANs using shadow fading correlation," IEEE Trans. Mobile Comput., vol. 10, no. 10, pp. 1434-1447, Oct. 2011.   DOI   ScienceOn
16 H. R. Karimi, "Geolocation databases for white space devices in the UHF TV bands: Specification of maximum permitted emission levels," in Proc. IEEE DySPAN, 2011.
17 Q. H. Wu, G. R. Ding, J. L. Wang, and Y. D. Yao, "Spatial-temporal opportunity detection in spectrum-heterogeneous cognitive radio networks: Two-dimensional sensing," IEEE Trans. Wireless Commun., vol. 12, no. 2, pp. 516-526, Feb. 2013.   DOI   ScienceOn
18 W. Lee and D. H. Cho, "Comparison of channel information acquisition schemes in cognitive radio system," in Proc. IEEE WCNC, 2012.
19 R. Murty, R. Chandra, T. Moscibroda, and P. Bahl, "Senseless: A databased-driven white spaces network," IEEE Trans. Mobile Comput., vol. 11, no. 2, pp. 189-203, Feb. 2012.   DOI   ScienceOn
20 M. Barrie, S. Delaere, and G. Sukareviciene, "Geolocation Database beyond TV white spaces? Matching applications with Database requirements," in Proc. IEEE DySPAN, 2012, pp. 443-454.
21 Q. Zhao and Sadler, "A survey of dynamic spectrum access," IEEE Signal Process. Mag., vol. 2. no. 3, pp. 79-89, May 2007.
22 J. Mitola and G. Maguire, "Cognitive radio: Making software radios more personal," IEEE Pers. Commun., vol. 6, no. 4, pp. 13-18, Aug. 1999.   DOI   ScienceOn
23 A. Sahai, N. Hoven, and R. Tandra, "Some fundamental limits on cognitive radio," in Proc. Allerton Conf. on Commun., Control, and Comput., Oct. 2004.
24 S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, 2005.   DOI   ScienceOn
25 I. F. Akyildiz, W. Lee, M. Vuran, et al., "Next generation/dynamic spectrum access/cognitive radio wireless networks: A survey," Comput. Netw., vol. 50, no. 13, pp. 2127-2159, 2006.   DOI   ScienceOn
26 I. F. Akyildiz et al., "A survey on spectrum management in cognitive radio networks," IEEE Commun. Mag., vol. 46, no. 4, pp. 40-48, 2008.
27 Q. Zhao and B. Sadler, "Dynamic spectrum access: signal processing, networking, and regulatory policy," in IEEE Trans. Signal Process. Mag., May 2007.
28 A. De Domenico, E. Strinati, and M. Di Benedetto, "A survey on MAC strategies for cognitive radio networks," IEEE Commun. Surveys & Tutorials, vol. 14, no. 1, pp. 21-44, 2012.   DOI   ScienceOn
29 K. Shin, H. Kim, A. Min, and A. Kumar, "Cognitive radios for dynamic spectrum access: From concept to reality," IEEE Trans. Wireless Commun., vol. 17, no. 6, pp. 64-74, 2010.   DOI   ScienceOn
30 Q. Zhao and A. Swami, "A Decision-theoretic framework for opportunistic spectrum access," IEEE Trans. Wireless Commun., vol. 14, no. 4, pp.14-20, 2007.