Outage capacity optimisation for cognitive radio networks with cooperative communications

Outage capacity optimisation for cognitive radio networks with cooperative communications

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Cognitive radio networks with cooperative communications can effectively improve spectrum efficiency and data rate. Under this network scenario, there are three possible transmission modes: direct transmission, multi-hop transmission and cooperative communication. To optimise the system performance, three issues should be carefully considered: whether or not and which relay is needed, which channel is selected and which transmission mode is used. Therefore in this study, the authors solve these three problems jointly to optimise the outage capacity for cognitive radio networks with cooperative communications. Particularly, they emphasise on the imperfect channel sensing situation. Under these setup and the constraints, the authors formulate the problem of relay determination, transmission channel and corresponding transmission mode selection to maximise the outage capacity as a discrete optimisation problem. Then a discrete stochastic optimisation algorithm is proposed to maximise the outage capacity to adaptively determine relay and select the optimal transmission channel and transmission mode. The proposed algorithm has fast convergence rate and low computation complexity. Moreover, the time-varying radio environment scenario is also considered, and they show that the proposed algorithm has good tracking capability for time-varying radio environment. Finally, simulation results are presented to demonstrate the performance of proposed scheme.


    1. 1)
      • Mitola, J.: `Cognitive radio: an integrated agent architecture for software defined radio', 2000, PhD, KTH Royal Institute of Technology, Stockholm, Sweden.
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • Jia, J., Zhang, J., Zhang, Q.: `Cooperative relay for cognitive radio networks', Proc. Infocom’09, April 2009, Rio de Janeiro, Brazil.
    12. 12)
    13. 13)
    14. 14)
      • Luo, C., Yu, F.R., Ji, H., Leung, V.C.M.: `Distributed relay selection and power control in cognitive radio networks with cooperative transmission', Proc. IEEE ICC'10, May 2010, Capetown, South Africa.
    15. 15)
    16. 16)
    17. 17)
    18. 18)
      • Z. Gao , L. Huang , Y. Yao , T. Wu . Performance analysis of a busy cognitive multi-channel MAC protocol. J. Internet Technol. , 3 , 299 - 306
    19. 19)
      • W. El-Hajj , H. Safa , M. Guizani . Survey of security issues in cognitive radio networks. J. Internet Technol. , 2 , 181 - 198
    20. 20)
    21. 21)
    22. 22)
    23. 23)
    24. 24)
    25. 25)
    26. 26)
    27. 27)
    28. 28)
    29. 29)
    30. 30)
    31. 31)
    32. 32)
    33. 33)

Related content

This is a required field
Please enter a valid email address