Fair subcarrier and power allocation for multiuser orthogonal frequency-division multiple access cognitive radio networks using a Colonel Blotto game

Access Full Text

Fair subcarrier and power allocation for multiuser orthogonal frequency-division multiple access cognitive radio networks using a Colonel Blotto game

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

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

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.

© The Institution of Engineering and Technology
Published

The problem of subcarrier allocation (SA) and power allocation (PA) for both the downlink and uplink of cognitive radio networks (CRNs) is studied. Two joint SA and PA schemes based on Blotto games are presented for orthogonal frequency-division multiple access (OFDMA)-based CRNs. In this work, the authors consider a more practical scenario by taking into account the correlation between adjacent subcarriers. In the proposed games, secondary users (SUs) simultaneously compete for subcarriers using a limited budget. In order to win as many good subcarriers as possible, the SUs are required to wisely allocate their budget subject to the transmit power, budget and interference temperature constraints. Two PA and budget allocation strategies are derived to enable fair sharing of spectrum among the SUs. It is shown that by manipulating the total budget available for each SU, competitive fairness can be enforced. In addition, the conditions to ensure the existence and uniqueness of Nash equilibrium (NE) in the proposed methods are established and algorithms which ensure convergence to NE are proposed. Simulation results show that the proposed methods can converge rapidly and allocate resources fairly and efficiently in correlated fading OFDMA channels.

Inspec keywords: wireless channels; frequency division multiple access; OFDM modulation; radiofrequency interference; cognitive radio; subcarrier multiplexing; game theory

Other keywords: cognitive radio network; Colonel Blotto game; fair subcarrier allocation; Nash equilibrium; spectrum sharing; multiuser orthogonal frequency division multiple access; transmit power; budget allocation strategy; interference temperature constraint; power allocation

Subjects: Electromagnetic compatibility and interference; Modulation and coding methods; Game theory; Multiple access communication; Radio links and equipment

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
      • W.C. Jakes . (1994) Microwave mobile communication.
    8. 8)
    9. 9)
    10. 10)
    11. 11)
      • Ngo, D.T., Tellambura, C., Nguyen, H.H.: `Resource allocation for OFDM-based cognitive radio multicast networks', Proc. IEEE WCNC'09, April 2009, p. 1–6.
    12. 12)
      • Bai, B., Chen, W.: `Diversity-multiplexing tradeoff in OFDMA systems with coherence bandwidth splitting', Proc. IEEE Globecom'09, November 2009, p. 1–6.
    13. 13)
    14. 14)
    15. 15)
      • Han, S., Han, Y.: `A competitive fair subchannel allocation for OFDMA system using an auction algorithm', Proc. IEEE VTC'07, September 2007, p. 1781–1791.
    16. 16)
    17. 17)
    18. 18)
    19. 19)
    20. 20)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2010.1021
Loading

Related content

content/journals/10.1049/iet-com.2010.1021
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading