Abstract
This paper proposes a bargaining game theoretic resource (including the subcarrier and the power) allocation scheme for wireless orthogonal frequency division multiple access (OFDMA) networks. We define a wireless user’s payoff as a function of the achieved data-rate. The fairness resource allocation problem can then be modeled as a cooperative bargaining game. The objective of the game is to maximize the aggregate payoffs for the users. To search for the Nash bargaining solution (NBS) of the game, a suboptimal subcarrier allocation is performed by assuming an equal power allocation. Thereafter, an optimal power allocation is performed to maximize the sum payoff for the users. By comparing with the max-rate and the max-min algorithms, simulation results show that the proposed game could achieve a good tradeoff between the user fairness and the overall system performance.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
P. B. Key, D. R. McAuley. DifferentialQoS and pricing in networks: Where flow-control meets game theory. IEE Proceedings of Software, vol. 146, no. 1, pp. 39–43, 1999.
H. Ekstrom, A. Furuskar, J. Karlsson, M. Meyer, S. Parkvall, J. Torsner, M. Wahlqvist. Technical solutions for the 3G long-term evolution. IEEE Communications Magazine, vol. 44, no. 3, pp. 38–45, 2006.
W. Rhee, J. M. Cioffi. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. In Proceedings of the 51st IEEE Vehicular Technology Conference, IEEE, Tokyo, Japan, vol. 2, pp. 1085–1089, 2000.
Z. G. Cao, X. G. Yang. Coalition formation in weighted simple-majority games under proportional payoff allocation rules. International Journal of Automation and Computing, vol. 6, no. 3, pp. 217–222, 2009.
G. P. Zhang, H. L. Zhang, L. Q. Zhao, W. Wang, L. Cong. Fair resource sharing for cooperative relay networks using Nash bargaining solutions. IEEE Communications Letters, vol. 13, no. 6, pp. 381–383, 2009.
S. T. Chung, A. J. Goldsmith. Degrees of freedom in adaptive modulation: A unified view. IEEE Transactions on Communications, vol. 49, no. 9, pp. 1561–1571, 2001.
S. M. Lucas. Computational intelligence and games: Challenges and opportunities. International Journal of Automation and Computing, vol. 5, no. 1, pp. 45–57, 2008.
T. K. Chee, C. C. Lim, J. Choi. A cooperative game theoretic framework for resource allocation in OFDMA systems. In Proceedings of the 10th IEEE Singapore International Conference on Communication Systems, IEEE, Singapore, pp. 1–5, 2006.
S. Boyd, L. Vandenberghe. Convex Optimization, UK: Cambridge University Press, 2004.
G. P. Zhang, H. L. Zhang. Adapative resource allocation for downlink OFDMA networks using cooperative game theory. In Proceedings of the 11th IEEE Singapore International Conference on Communication Systems, IEEE, Guangzhou, China, pp. 98–103, 2008.
T. Zhang, Z. Zeng, C. Feng, J. Zheng, D. Ma. Utility fair resource allocation based on game theory in OFDM systems. In Proceedings of the 16th IEEE International Conference on Computer Communications and Networks, IEEE, Honolulu, USA, pp. 414–418, 2007.
G. Song, Y. G. Li. Cross-layer optimization for OFDM wireless networkpart II: Algorithm development. IEEE Transactions on Wireless Communications, vol. 4, no. 2, pp. 625–634, 2005.
J. Jang, K. B. Lee, Y. H. Lee. Transmit power and bit allocations for OFDM systems in a fading channel. In Proceedings of IEEE Global Telecommunications Conference, IEEE, San Francisco, USA, vol. 2, pp. 858–862, 2003.
Author information
Authors and Affiliations
Corresponding author
Additional information
This work was supported by National Natural Science Foundation of China (No. 60972059), Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions, Fundamental Research Funds for the Central Universities of China (No. 2010QNA27), China Postdoctoral Science Foundation (No. 20100481185), Postdoctoral Research Funds of Jiangsu Province (No. 1101108C), and Postdoctoral Fellowship Program of the China Scholarship Council.
Guo-Peng Zhang graduated from Xuzhou Normal University, China in 2001. He received the M. Sc. degree from South China Normal University in 2005 and the Ph.D. degree from the Xidian University, China in 2009. He is currently a lecturer at the Internet of Things Research Center, China University of Mining and Technology (CUMT), and works as postdoctoral fellow.
His research interests include micro and macro economics, game theory, wireless OFDM/MIMO communication systems, cooperative communication networks, sensor networks, and cognitive radio networks.
Ya-Li Zhong received her B. Sc. from Ludong University in 2006. Currently, she is a graduate student in China University of Mining and Technology (CUMT) and pursuing her M. Sc. degree in inforamtion and communication engineering.
Her research interests include wireless sensor networks and video transmission.
En-Jie Ding received his M. Sc. and Ph.D. degrees both in information and communication engineering from CUMT. He is currently a professor at Internet of Things Research Center of CUMT.
His research interests include wireless sensor networks and their application in coal mines.
Rights and permissions
About this article
Cite this article
Zhang, GP., Zhong, YL. & Ding, EJ. Game Theoretic subcarrier and power allocation for wireless OFDMA networks. Int. J. Autom. Comput. 9, 414–419 (2012). https://doi.org/10.1007/s11633-012-0662-0
Received:
Revised:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11633-012-0662-0