http://iet.metastore.ingenta.com
1887

Cooperative waiting-time reduction for cognitive radio networks using Stackelberg game

Cooperative waiting-time reduction for cognitive radio networks using Stackelberg game

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

Buy article PDF
$19.95
(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
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
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.

Waiting time occupies an important position in user's quality-of-service (QoS) evaluation system. However, in conventional overlay cognitive radio networks (CRN), the secondary users are not permitted to transmit any personal information whenever the spectrum is occupied by primary users. It follows that the waiting time of users depends heavily on the primary spectrum occupancy, which, in turn, cannot guarantee the QoS of the secondary users. To remedy this, a game theoretical cooperative waiting-time reducing method (CWTRM) is proposed in a self-generated CRN to meet users’ waiting-time demands. The proposed scheme divides the users to temporary primary and secondary groups instead of introducing an extraneous secondary network. Specifically, waiting users are served as temporary secondary users. The cooperation between them and the temporary primary users is proceeded in each frame to make reuse of the unused time fractions, thereby reducing the global waiting time of the network. The optimal relay power, pricing and corresponding cooperating strategies are determined with the utilisation of Stackelberg game and Hungarian method. Finally, the superiority of the proposed CWTRM over non-cooperative schemes is validated through simulations.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
      • 5. Pan, M., Liy, P., Songz, Y., et al: ‘Spectrum clouds: a session based spectrum trading system for multi-hop cognitive radio networks’. Proc. IEEE INFOCOM, Orlando, USA, March 2012, pp. 15571565.
    6. 6)
    7. 7)
      • 7. Bayat, S., Louie, R.H.Y., Li, Y., Vucetic, B.: ‘Cognitive radio relay networks with multiple primary and secondary users: distributed stable matching algorithms for spectrum access’. Proc. IEEE Int Conf. on Communication. (ICC), Kyoto, Japan, June 2011, pp. 16.
    8. 8)
    9. 9)
      • 9. Wu, G., Ren, P., Zhang, C.: ‘A waiting-time auction based dynamic spectrum allocation algorithm in cognitive radio networks’. Proc. IEEE GLOBECOM, Huston, USA, December 2011, pp. 15.
    10. 10)
    11. 11)
      • 11. Chen, W., Letaief, K.B., Cao, Z.: ‘A joint coding and scheduling method for delay optimal cognitive multiple access’. Proc. IEEE Int Conf. on Comm. (ICC), Beijing, China, May 2008, pp. 35583562.
    12. 12)
      • 12. Liu, D., Chen, Y., Zhang, T., et al: ‘Stackelberg game based cooperative user relay assisted load balancing in cellular networks’, IEEE Commun. Lett., 2013, 2, (17), pp. 424427.
    13. 13)
    14. 14)
      • 14. Wang, F., Song, L., Han, Z., et al: ‘Joint Scheduling and resource allocation for device-to-device underlay communication’. IEEE Wireless Communications and Networking Conf. (WCNC 2013), Shanghai, China, April 2013, pp. 134139.
    15. 15)
    16. 16)
      • 16. Wang, A., Cai, Y., Yang, W., et al: ‘A Stackelberg security game with cooperative jamming over a multiuser OFDMA network’. IEEE Wireless Communications and Networking Conf. (WCNC 2013), Shanghai, China, April 2013, pp. 41694174.
    17. 17)
    18. 18)
    19. 19)
    20. 20)
    21. 21)
    22. 22)
      • 22. Osborne, M.J.: ‘An Introduction to Game Theory’ (Oxford University Press, 2004).
    23. 23)
    24. 24)
      • 24. Boyd, S., Vandenberghe, L.: ‘Convex optimization’ (Cambridge University Press, 2004).
    25. 25)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2014.0200
Loading

Related content

content/journals/10.1049/iet-com.2014.0200
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address