Wireless Personal Communications

, Volume 65, Issue 3, pp 583–600 | Cite as

On Time-Frequency Resource Leasing in Cognitive Radio Networks

  • Seyed Mahdi Mousavi Toroujeni
  • Seyed Mohammad-Sajad Sadough
  • Seyed Ali Ghorashi
Article

Abstract

In this work, we introduce a new spectrum leasing based cognitive radio for OFDM-based primary/secondary networks. More precisely, we propose a new leasing scheme both in time and frequency domains in a network composed of a primary transmission and some secondary (cognitive) users forming a cooperative relay network. In the proposed scheme, the primary user decides to lease a part of its available resources (time and frequency) to a selected set of relays, with the aim of increasing its link reliability. The selected relays use a part of the leased resources for relaying the primary signal, and in counterpart, they are allowed to exploit the rest of the frame for their own data transmission. By defining appropriate cost functions, the proposed algorithm decides whether it is of advantage for the primary user to cooperate with the relay network or not. Moreover, if cooperation is advantageous for the primary network, the algorithm selects the optimal amount of the time-frequency resources (number of OFDM symbols and subcarriers) that are involved in the cooperation process. Simulation results show that by using the proposed relaying scheme, both primary and secondary (relay) networks can take advantage in terms of achievable data rates compared to classical leasing systems.

Keywords

Dynamic spectrum sharing Cognitive radio Resource leasing Cooperative communication OFDM 

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References

  1. 1.
    FCC, Report of the spectrum efficiency working group, FCC Spectrum policy task force, Technical Report (2002).Google Scholar
  2. 2.
    Mitola, J. (2000). Cognitive radio: An integrated agent architecture for software defined radio. Ph.D. dissertation, Royal Institute of Technology (KTH), Stockholm, Sweden.Google Scholar
  3. 3.
    Haykin S. (2005) Cognitive radio: Brain-empowered wireless communications. IEEE Journal on Selected Areas in Communications 23(2): 201–205CrossRefGoogle Scholar
  4. 4.
    Attar A., Ghorashi S.A., Sooriyabandara M., Aghvami A.H. (2008) Challenges of real-time secondary usage of spectrum. Computer Networks Journal, Special Issue on Cognitive Wireless Networks 52(4): 816–830MATHGoogle Scholar
  5. 5.
    Budiarjo I., Lakshmanan M. K., Nikookar H. (2008) Cognitive radio dynamic access techniques. Wireless Personal Communication 45(3): 293–324CrossRefGoogle Scholar
  6. 6.
    Simeone O., Stanojev I., Savazzi S., Bar-Ness Y., Spagnolini U., Pickholtz R. (2008) Spectrum leasing to cooperating secondary ad hoc networks. IEEE Journal on Selected Areas in Communications 26(1): 1–11CrossRefGoogle Scholar
  7. 7.
    Jayaweera S.K., Vazquez-Vilar G., Mosquera C. (2010) Dynamic spectrum leasing: A new paradigm for spectrum sharing in cognitive radio networks. IEEE Transactions on Vehicular Technology 59(5): 2328–2339CrossRefGoogle Scholar
  8. 8.
    Yi, Y., Zhang, J., Zhang, Q., Jiang, T., & Zhang, J. (2010). Cooperative communication-aware spectrum leasing in cognitive radio networks. IEEE Symposium on New Frontiers in Dynamic Spectrum.Google Scholar
  9. 9.
    Duan, L., Huang, J., & Shou, B. (2010). Competition with dynamic spectrum leasing. IEEE Symposium on New Frontiers in Dynamic Spectrum, 1–11.Google Scholar
  10. 10.
    Can, B., Yanikomeroglu, H., Onat, F. A., Carvalho, E. D., & Yomo, H. (2008). Efficient cooperative diversity schemes and radio resource allocation for ieee 802.16j. IEEE Wireless Communications and Networking Conference.Google Scholar
  11. 11.
    Laneman J.N., Wornell G.W. (2003) Distributed spacetime-coded protocols for exploiting cooperative diversity in wireless networks. IEEE Transactions on Information Theory 49(10): 2415–2425MathSciNetCrossRefGoogle Scholar
  12. 12.
    Mitran P., Ochiai H., Tarokh V. (2005) Space time diversity enhancements using collaborative communications. IEEE Transactions on Information Theory 51(6): 2041–2057MathSciNetCrossRefGoogle Scholar
  13. 13.
    Maharjan S., Zhang Y., Gjessing S. (2011) Economic approaches for cognitive radio networks: A survey. Wireless Personal Communication 57(1): 33–51CrossRefGoogle Scholar
  14. 14.
    Hossain E., Bhargava V.K. (2007) Cognitive wireless communication networks. Springer, BerlinCrossRefGoogle Scholar
  15. 15.
    Laneman J.N., Tse D.N.C., Wornell G.W. (2004) Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory 50: 3062–3080MathSciNetCrossRefGoogle Scholar
  16. 16.
    Bolcskei H., Gesbert D., Paulraj A.J. (2002) On the capacity of OFDM-based spatial multiplexing system. IEEE Transactions on Communications 50(2): 225–234CrossRefGoogle Scholar
  17. 17.
    Cover T.M., Gamal A.E. (1979) Capacity theorems for the relay channel. IEEE Transactions on Information Theory IT-25: 572–584CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media, LLC. 2011

Authors and Affiliations

  • Seyed Mahdi Mousavi Toroujeni
    • 1
  • Seyed Mohammad-Sajad Sadough
    • 1
  • Seyed Ali Ghorashi
    • 1
  1. 1.Cognitive Telecommunications Research Group, Department of Electrical Engineering, Faculty of Electrical and Computer EngineeringShahid Beheshti University G.C.TehranIran

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