Browse > Article
http://dx.doi.org/10.1109/JCN.2014.000025

An Efficient Throughput Improvement through Bandwidth Awareness in Cognitive Radio Networks  

Le, Tung Thanh (Center for Advanced Computer Studies, University of Louisiana at Lafayette)
Kim, Dong-Seong (School of Electronic Engineering, Kumoh National Institute of Technology)
Publication Information
Journal of Communications and Networks / v.16, no.2, 2014 , pp. 146-154 More about this Journal
Abstract
This paper proposes a bandwidth-aware localized-routing algorithm that is capable of sensing the available spectrum bands within a two-hop neighboring for choosing the highly opportunistic routes. A mixed-integer linear programming (MILP) is utilized to formulate the optimization problem. Then, the proposed algorithm is used to determine the maximum bandwidth possible of link pairs via a bandwidth approximation process of relaxed variables. Thereby, the proposed algorithm can allow selected routes corresponding to maximum bandwidth possible between cognitive radio (CR) users through link pairs in cognitive radio networks. By comparing the solution values to previous works, simulation results demonstrate that the proposed algorithm can offer a closed-optimal solution for routing performance in cognitive radio networks. The contribution of this paper is achieved through approximately 50% throughput utilized in the network.
Keywords
Bandwidth-aware; cognitive radio networks; opportunistic localized-routing; uncertain behavior primary services;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Y. Hou, Y. Shi, and H. Sherali, "Spectrum sharing for multi-hop networking with cognitive radios," IEEE J. Sel. Areas Commun., vol. 26, no. 1, pp. 146-155, Jan. 2008.   DOI   ScienceOn
2 M. Pan et al., "Spectrum harvesting and sharing in multi-hop crns under uncertain spectrum supply," IEEE J. Sel. Areas Commun., vol. 30, no. 2, pp. 369-378, Feb. 2012.   DOI   ScienceOn
3 K.-C. Chen et al., "Routing for cognitive radio networks consisting of opportunistic links," Wireless Commun. and Mobile Comput., Wiley, pp. 451-466, 2010.
4 M. Pan et al., "Joint routing and link scheduling for cognitive radio networks under uncertain spectrum supply," in Proc. IEEE INFOCOM, Apr. 2011, pp. 2237-2245.
5 M. Pan et al., "Spectrum clouds: A session based spectrum trading system for multi-hop cognitive radio networks," in Proc. IEEE INFOCOM, Mar. 2012, pp. 1557-1565.
6 A. De Domenico, E. Strinati, and M.-G. Di Benedetto, "A Survey onMAC Strategies for Cognitive Radio Networks," IEEE Commun. Surveys Tuts., vol. 14, no. 1, pp. 21-44, 2012.   DOI   ScienceOn
7 C. Sun,W. Zhang, and K. Letaief, "Cooperative spectrum sensing for cognitive radios under bandwidth constraints," in Proc. IEEE WCNC, Mar. 2007, pp. 1-5.
8 Q. Xiao et al., "Opportunistic channel selection approach under collision probability constraint in cognitive radio systems," Computer Communications, vol. 32, no. 18, pp. 1914-1922, 2009.   DOI
9 C. Cordeiro, K. Challapali, and M. Ghosh, "Cognitive PHY and MAC layers for dynamic spectrum access and sharing of tv bands," in Proc. TAPAS, 2006.
10 H. Kim and K. Shin, "Efficient Discovery of Spectrum Opportunities with MAC-Layer Sensing in Cognitive Radio Networks," IEEE Trans. Mobile Comput., vol. 7, no. 5, pp. 533-545, May 2008.   DOI   ScienceOn
11 C. Jiang et al., "Renewal-theoretical dynamic spectrum access in cognitive radio network with unknown primary behavior," IEEE J. Sel. Areas Commun., vol. 31, no. 3, pp. 406-416, 2013.   DOI   ScienceOn
12 D. R. Cox, "Renewal Theory," London: Methuen, 1967.
13 D. Tse, "Fundamentals of Wireless Communication," Cambridge University Press, 2005.
14 S.-C. Lin and K.-C. Chen, "Spectrum aware opportunistic routing in cognitive radio networks," in Proc. IEEE Global Telecommun. Conference, Dec. 2010, pp. 1-6.
15 A. Ghasemi and E. Sousa, "Spectrum sensing in cognitive radio networks: Requirements, challenges and design trade-offs," IEEE Commun. Magazine, vol. 46, no. 4, pp. 32-39, Apr. 2008.   DOI   ScienceOn
16 I. F. Akyildiz, W. Y. Lee, and K. Chowdhury, "CRAHNs: Cognitive Radio Ad Hoc Networks," Ad Hoc Netw., vol. 7, no. 5, pp. 810-836, July 2009.   DOI   ScienceOn
17 I. F. Akyildiz, B. F. Lo, and R. Balakrishnan, "Cooperative Spectrum Sensing in Cognitive Radio Networks: A Survey," Physical Commununications, vol. 4, no. 1, pp. 40-62, Mar. 2011.
18 Y.-C. Liang et al., "Cognitive radio networking and communications: An overview," IEEE Trans. Veh. Technol., vol. 60, no. 7, pp. 3386-3407, Sept. 2011.   DOI   ScienceOn
19 S. Kamruzzaman, E. Kim, and D. G. Jeong, "Spectrum and energy aware routing protocol for cognitive radio ad hoc networks," in Proc. IEEE ICC, June 2011, pp. 1-5.
20 C. Zheng et al.,"Opportunistic routing in multi-channel cognitive radio networks," in Proc. ISCIT, Oct. 2011, pp. 532-537.
21 D. D. Tan, T. T. Le, and D.-S. Kim, "Distributed cooperative transmission for underwater acoustic sensor networks," in Proc. IEEE WCNCW, Apr. 2013, pp. 205-210.
22 M. Cesana, F. Cuomo, and E. Ekici, "Routing in cognitive radio networks: Challenges and solutions," Ad Hoc Netw., vol. 4, no. 9, pp. 228-248, July 2010.
23 C. Gao et al., "Multicast communications in multi-hop cognitive radio networks," IEEE J. Sel. Areas Commun., vol. 29, no. 4, pp. 784-793, Apr. 2011.   DOI   ScienceOn
24 J. Kim and M. Krunz, "Spectrum-aware beaconless geographical routing protocol for mobile cognitive radio networks," in Proc. IEEE GLOBECOM, Dec. 2011, pp. 1-5.
25 I. F. Akyildiz et al., "NeXt generation/dynamic spectrum access/cognitive radio wireless networks: A survey," Computer Netw., vol. 50, no. 13, pp. 2127-2159, May 2006.   DOI   ScienceOn
26 T. T. Le et al., "BAR: Bandwidth-Aware Opportunistic Localized-Routing for Cognitive Radio Networks," in Proc. IEEE GLOBECOM Workshops, Dec. 2012, pp. 937-942.
27 R. Thomas, L. DaSilva, and A.MacKenzie, "Cognitive networks," in Proc. DySPAN, Nov. 2005, pp. 352-360.
28 S. Haykin, "Cognitive radio: Brain-empowered wireless communications," IEEE J. Sel. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005.   DOI   ScienceOn
29 K. Shin et al., "Cognitive radios for dynamic spectrum access: From concept to reality," IEEE Wireless Commun., vol. 17, no. 6, pp. 64-74, Dec. 2010.   DOI   ScienceOn
30 A. T. Hoang and Y.-C. Liang, "Maximizing spectrum utilization of cognitive radio networks using channel allocation and power control," in Proc. IEEE VTC, Sept. 2006, pp. 1-5.
31 T. T. Le, G.-W. Lee, and D. S. Kim, "IAN: Interference-Aware routing geometry on proximity for cognitive radio networks," in Proc. IEEE WCNC Workshops, Apr. 2014.
32 T. Davidovic et al., "Mathematical programming-based approach to scheduling of communicating tasks," LIX, pp. 4, Tech. Rep., 2004.
33 W. Zhang, "Branch-and-Bound Search Algorithms and Their Computational Complexity," University of Southern California, Information Sciences Institute, Tech. Rep., May 1996.
34 A. Min, X. Zhang, and K. Shin, "Detection of small-scale primary users in cognitive radio networks," IEEE J. Sel. Areas Commun., vol. 29, no. 2, pp. 349-361, Feb. 2011.   DOI   ScienceOn
35 W.-Y. Lee and I. Akyildiz, "Optimal spectrum sensing framework for cognitive radio networks," IEEE Trans. Wireless Commun., vol. 7, no. 10, pp. 3845-3857, Oct. 2008.   DOI   ScienceOn