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Scientific Journal of Information Engineering

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Optimal Spectrum Management with Dynamic Service and Cost Constraints in Multihop CR NetworksOptimal Spectrum Management with Dynamic Service and Cost Constraints in Multihop CR Networks

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Author: QiuRan Li, Pengbo Si, Ruizhe Yang, Yanhua Zhang

Abstract: To cope with the challenging issue that spectrum bands for wireless communications are almost used up, cognitive radio (CR) technologies have been proposed, allowing the secondary users (SUs) to harvest and utilize the spectrum bands that are licensed to primary users (PUs) but not utilized currently. Besides, the multihop cognitive radio network architecture is also introduced to efficiently utilize the harvested spectrum bands by adopting the fixed-location relay stations (RSs). In this paper, we investigate the spectrum management problem to schedule the harvested spectrum bands to the transmission links between the RSs in multihop cognitive radio networks (CRNs). As spectrum trading is considered, the CR network optimally selects the available spectrum bands according to their dynamic service requirements and renting prices. To solve this NP-hard optimization problem, two heuristic algorithms are also proposed to obtain approximate results while reducing the computational complexity. Extensive simulation results demonstrate the performance improvement of the proposed scheme.

Keywords: cognitive radio, relay stations, spectrum management

References:

[1] Federal Communication Commission, “Spectrum Policy Task Force Report,” ET Docket Nos. 02-135, Nov. 2002.

[2] J. Mitola, “Cognitive Radio: An Integrated Agent Architecture for Software Defined Radio,” PhD thesis, Royal Inst. of Technology, May 2000.

[3] I. Akyildiz, W. Lee, M. Vuran, and M. Shantidev, “Next Generation/Dynamic Spectrum Access/Cognitive Radio Wireless Networks: A Survey,” Computer Networks J., vol. 50, no. 4, pp. 2127-2159, Sept. 2006.

[4] Pan M, Yue H, Zhang C, et al. Path selection under budget constraints in multihop cognitive radio networks[J]. Mobile Computing, IEEE Transactions on, 2013, 12(6): 1133-1145.

[5] B. Wang, Z. Han, and K.J.R. Liu, “Distributed Relay Selection and Power Control for Multiuser Cooperative Communication Networks Using Buyer/Seller Game,” Proc. IEEE INFOCOM, May 2007.

[6] B. Wang, Z. Ji, and K.J.R. Liu, “Primary-Prioritized Markov Approach for Dynamic Spectrum Access,” Proc. IEEE Int’l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN ’07), Apr. 2007.

[7] M. Pan, F. Chen, X. Yin, and Y. Fang, “Fair Profit Allocation in the Spectrum Auction Using the Shapley Value,” Proc. IEEE Global Telecomm. Conf. (GlobeCom ’09), Dec. 2009.

[8] J. Zhang and Q. Zhang, “Stackelberg Game for Utility-Based Cooperative Cognitive Radio Networks,” Proc. ACM MobiHoc, May 2009.

[9] X. Zhou, S. Gandhi, S. Suri, and H. Zheng, “eBay in the Sky: Strategy-Proof Wireless Spectrum Auctions,” Proc. ACM Mobicom,Sept. 2008.

[10] X. Zhou and H. Zheng, “Trust: A General Framework for Truthful Double Spectrum Auctions,” Proc. IEEE INFOCOM, Apr. 2009.

[11] J. Jia, Q. Zhang, Q. Zhang, and M. Liu, “Revenue Generation for Truthful Spectrum Auction in Dynamic Spectrum Access,” Proc. ACM MobiHoc, May 2009.

[12] Y. Wu, B. Wang, K.J. Liu, and T. Clancy, “A Multi-Winner Cognitive Spectrum Auction Framework with Collusion-Resistant Mechanisms,” Proc. IEEE Int’l Symp. New Frontiers in Dynamic Spectrum Access Networks (DySPAN ’08), Oct. 2008.

[13] M. Pan, C. Zhang, P. Li, and Y. Fang, “Spectrum Harvesting and Sharing in Multi-Hop CRNs Under Uncertain Spectrum Supply,” IEEE J. Selected Areas in Comm., vol. 30, no. 2, pp. 369-378, Feb. 2012.

[14] M. Pan, H. Yue, Y. Fang, and H. Li, “The X Loss: Band-Mix Selection for Opportunistic Spectrum Accessing with Uncertain Spectrum Supply From Primary Service Providers,” IEEE Trans. Mobile Computing, vol. 11, no. 12, pp. 2133-2144, Dec. 2012.

[15] M. Pan, H. Yue, Y. Fang, and H. Li, “The X Loss: Band-Mix Selection with Uncertain Supply for Opportunistic Spectrum Accessing,” Proc. IEEE Global Telecomm. Conf. GlobeCom ’09), Dec. 2010.

[16] M. Pan, Y. Song, P. Li, and Y. Fang, “Reward and Risk for Opportunistic Spectrum Accessing in Cognitive Radio Networks,” Proc. IEEE Global Telecomm. Conf. (GlobeCom ’09), Dec. 2010.

[17] FCC, “Spectrum Policy Task Force Report,” ET Docket No. 02-135,November, 2002.

[18] K. C. Chen, Y. J. Peng, N. Prasad, Y. C. Liang, and S. Sun, “Cognitive Radio Network Architecture: Part I - General Structure,” in Proc. ACM International Conference on Ubiquitous Information Management and Communication (ICUIMC) 2008, Suwon, Korea, January 2008.

[19] I. F. Akyildiz, W. Lee, and K. R. Chowdhury, “CRAHNs: ognitive Radio Ad Hoc Networks,” Ad Hoc Networks (Elsevier) J., vol. 7, no. 5,pp. 810–836, July 2009.

[20] J. Sachs, I. Mari´c, and A. Goldsmith, “Cognitive Cellular Systems within the TV Spectrum,” in Proc. IEEE DySPAN 2010, Singapore, April 2010.

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