Adaptive Resource Allocation Algorithm for OFDMA System Based on Ant Colony Algorithm

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This paper has proposed adaptive resources allocative decisions in OFDMA system based on Ant Colony Algorithms.The problem was modeled as finding a minimum cost path in a graph. The antssolution construction was guided by pheromone trail and heuristic information.Due to the unique heuristic searching mechanism of the ant colony algorithm,the proposed algorithm is guaranteed to converge quickly tto an approximately optimal solution.Simulation results show that the performance of the proposed algorithm is close to the optimal solution ,and gains 1-2dB in comparison with the fixed allocation scheme.

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1096-1100

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] C.Y. Wong R.S. Cheng K.B. Letaief, and R.D. Murch, Multiuser OFDM with adaptive subcarrier, bit, and power allocation [J], IEEE J. Select. Areas Commun., vol. 17, no. 10, pp.1747-1758, Oct. (1999).

DOI: 10.1109/49.793310

Google Scholar

[2] I. Kim H.L. Lee,B. Kim, and Y. Lee, On the use of linear programming for dynamic subchannel and bit allocation in multiuser OFDM[C], IEEE Global Telecommunications Conference, vol. 6, pp.3648-3652, Nov. (2001).

DOI: 10.1109/glocom.2001.966362

Google Scholar

[3] Z. Shen J.G. Andrews B.L. Evans, Adaptive resource allocation in multiuser OFDM systems with proportional rate constrains[J], IEEE Trans. Wireless Commun., vol. 4 No. 6, pp.2726-2737, Nov (2005).

DOI: 10.1109/twc.2005.858010

Google Scholar

[4] I.C. wong,B.L. Evans, Optimal downlink OFDMA resource allocation with linear complexity to maximize ergodic rates[J], IEEE Trans. Wireless Communications, vol. 7No. 3, pp.962-971. Mar (2008).

DOI: 10.1109/twc.2008.4472014

Google Scholar

[5] D. Kivanc,G. Li, and H. Liu, Computationally efficient bandwidth allocation and power control for OFDMA[J], IEEE Trans. Wireless Commun. vol. 2, No. 6, pp.1150-1158, Nov. (2003).

DOI: 10.1109/twc.2003.819016

Google Scholar

[6] M. Ergen,S. Coleri, and P. Varaiya, Qos aware adaptive resource allocation techniques for fair scheduling in OFDMA based broadband wireless access systems[J], IEEE Trans. Broadcast., vol. 49, No. 4, pp.362-370, Dec. (2003).

DOI: 10.1109/tbc.2003.819051

Google Scholar

[7] M. Dorigo,V. Maniezzo, and A. Colorni, The ant system: Optimization by a colony of cooperating agents[J], IEEE Trans. Syst. Man Cybern. B, vol. 26, pp.29-41. Feb. (1996).

DOI: 10.1109/3477.484436

Google Scholar

[8] J.G. Proakis, Digital Communications, 3rd ed[M], New York: Mcgraw Hill, (1995).

Google Scholar