Spectrum-aware routing in discontinuous orthogonal frequency division multiplexing-based cognitive radio ad hoc networks

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Spectrum-aware routing in discontinuous orthogonal frequency division multiplexing-based cognitive radio ad hoc networks

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With the rapid requirement and development of the green ICT (Information and Communication Technology) technology, the demand for dynamically radio spectrum resources has significant attention. The low utilisation of licensed spectrum leads to the scarcity of the spectrum resource. The emerging cognitive radio (CR) systems become increasingly important in the wireless green communication. In cognitive radio ad hoc networks, unlicensed users (called secondary users, SUs) communicate with other CR users through an ad hoc connection on licensed spectrum bands, but spectrum bands may be unexpectedly preempted by licensed users (called primary users, PUs). The design of routing protocol for CR ad hoc network considers problems of the dynamic spectrum sensing, management, sharing and mobility caused by reappearance of PUs. In this paper, the authors developed a spectrum-aware routing protocol for discontinuous orthogonal frequency division multiplexing-based cognitive ad-hoc networks by using the concept of the minimum expected total transmission time. With the expected total transmission time of all possible paths, a route with the smallest expected total transmission time is constructed. Mathematical analysis and simulation result illustrate that the proposed routing protocol can significantly reduce the total transmission time and improve the throughput.

Inspec keywords: ad hoc networks; OFDM modulation; cognitive radio; mathematical analysis; routing protocols; radio spectrum management

Other keywords: mathematical analysis; radio spectrum resources; minimum expected total transmission time; green ICT technology; routing protocol; CR ad hoc network; spectrum-aware routing protocol; wireless green communication; discontinuous orthogonal frequency division multiplexing-based cognitive radio ad hoc network; dynamic spectrum sensing; licensed spectrum bands

Subjects: Legislation, frequency allocation and spectrum pollution; Modulation and coding methods; Communication network design, planning and routing; Radio links and equipment; Mathematical analysis; Protocols

References

    1. 1)
      • Ileri, O., Samardzija, D., Mandayam, N.B.: `Demand responsive pricing and competitive spectrum allocation via a spectrum server', Proc. IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005), November 2005, Baltimore, p. 8–11.
    2. 2)
      • Chiaraviglio, L., Matta, I.: `GreenCoop: Cooperative Green Routing with Energy-efficient Servers', Proc. ACM First Int. Conf. on Energy-Efficient Computing and Networking (e-Energy'10), 2010, NY, USA.
    3. 3)
    4. 4)
      • Zhang, Y., Leung, C.: `A distributed algorithm for resource allocation in ofdm cognitive radio systems', Proc. IEEE Vehicular Technology Conf. (VTC 2008-Fall), 21–24 September 2008, Calgary, BC.
    5. 5)
    6. 6)
      • Ju, S., Evans, J.B.: `Spectrum-aware routing protocol for cognitive ad-hoc networks', Proc. IEEE Global Telecommunications Conf. (GLOBECOM 2009), 30 November 2009, Honolulu, HI, USA.
    7. 7)
      • Cognitive Radio Cognitive Network Simulator. http://stuweb.ee.mtu.edu/ljialian/.
    8. 8)
      • Shih, C.F., Liao, W.J.: `Exploiting route robustness in joint routing and spectrum allocation in multi-hop cognitive radio networks', Proc. IEEE Wireless Communications and Networking Conf. (WCNC 2010), April 2010, Sydney, NSW, Australia, p. 18–21.
    9. 9)
      • Nekovee, M.: `Cognitive radio access to TV white spaces: spectrum opportunities, commercial applications and remaining technology challenges', IEEE Symp. on New Frontiers in Dynamic Spectrum (DYSPAN 2011), 6–9 April 2010.
    10. 10)
    11. 11)
      • 3GPP LTE, http://www.2cm.com.tw/zoomin_content?sn=0709790011.
    12. 12)
      • Sundaresan, K., Rangarajan, S.: `Efficient resource management in OFDMA femto cells', Proc. ACM Efficient resource management in OFDMA femtocells (MobiHoc 2009), 2009, NY, USA.
    13. 13)
      • F.A. Haight . (1967) Handbook of the Poisson distribution.
    14. 14)
    15. 15)
      • Wu, X., Gang, D., Zhu, W.: `Impact of link distance on end-to-end throughput in multi-rate, multi-hop wireless networks', Proc. IEEE Wireless Communications and Networking Conf. (WCNC 2007), March 2007, p. 11–15.
    16. 16)
      • FCC: ‘Spectrum Policy Task Force’, ET Docket 02-135, November 2002.
    17. 17)
    18. 18)
    19. 19)
      • C. Perkins , E. Belding-Royer , S. Das . Ad hoc on-demand distance vector (AODV) routing. IETF Internet Draft
    20. 20)
      • Chen, D., Zhang, Q., Jia, W.: `Aggregation aware spectrum assignment in cognitive ad-hoc networks', Proc. Int. Conf. on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008), 15–17 May 2008.
    21. 21)
    22. 22)
      • Li, J., Tan, Z., Tao, C., Xu, S.: `A new spectrum aggregation algorithm for IMT-advanced based on cognitive science', Proc. IEEE Wireless Communications and Signal Processing Conf. (WCSP 2010), October 2010, SuZhou, p. 21–23.
    23. 23)
      • Chen, T., Zhang, H., Maggio, G.M., Chlamtac, I.: `CogMesh: a cluster-based cognitive radio network', Proc. IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Access Networks (DYSPAN 2007), 17–20 April 2007, Dublin.
    24. 24)
      • Jiang, W., Cui, H., Chen, J.: `Spectrum-aware cluster-based routing protocol for multiple-hop cognitive wireless network', Proc. IEEE Int. Conf. on Communications Technology and Applications (ICCTA 2009), October 2009, Beijing, p. 16–18.
    25. 25)
      • Poston, J.D., Horne, W.D.: `Discontiguous OFDM considerations for dynamic spectrum access in idle TV channels', Proc. IEEE Int. Symp. on New Frontiers in Dynamic Spectrum Access Networks (DySPAN 2005), 8–11 November 2005, Baltimore.
    26. 26)
    27. 27)
      • Xin, C., Song, M., Ma, L., Shetty, S., Shen, C.C.: `Control-free dynamic spectrum access for cognitive radio networks', Proc. IEEE Int. Conf. on Communications (ICC 2010), 23–27 May 2010, Cape Town.
    28. 28)
    29. 29)
      • The Network Simulator NS-2. http://www.isi.edu/nsnam/ns/.
    30. 30)
    31. 31)
      • Z. Gao , H. Miao , Y. Yuan , L. Huang . A flexible carrier allocation strategy for multi-carrier cell architecture. J. Internet Technol. , 4 , 573 - 580
    32. 32)
      • Ghosh, C., Chen, S., Agrawal, D.P., Wyglinski, A.M.: `Priority-based spectrum allocation for cognitive radio networks employing NC-OFDM transmission', Proc. IEEE Military Communications Conf. (MILCOM 2009), October 2009, p. 18–21.
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