Adaptive sub-carrier allocation for an orthogonal frequency division multiple access system based on a particle swarm optimization algorithm

被引:0
|
作者
Bi X.-J. [1 ]
Cao W.-W. [1 ]
机构
[1] College of Information and Communication Engineering, Harbin Engineering University
关键词
Exchange series; OFDMA; PSO algorithm; Sub-carrier allocation;
D O I
10.3969/j.issn.1006-7043.2010.08.019
中图分类号
学科分类号
摘要
To study adaptive sub-carrier allocation in an orthogonal frequency division multiple access (OFDMA) system, the authors applied a particle swarm optimization (PSO) algorithm in the OFDMA system to allocate the adaptive sub-carrier. PSOs characteristically have fewer parameters, rapid speed of convergence and more effective global search capability. These features suggested it would be a better solution for allocation of the sub-carrier in an OFDMA system. Experimental and simulation results proved that performance improved when using the PSO algorithm to allocate the adaptive sub-carrier. It was found to minimize overall transmission power and run more rapidly.
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页码:1100 / 1104
页数:4
相关论文
共 11 条
  • [1] Tao T., Analysis and application of the key techniques of OFDMA, pp. 1-87, (2008)
  • [2] Wong C.Y., Cheng R.S., Letaief K.B., Et al., Multiuser OFDM with adaptive subcarrier, bit and power allocation, IEEE J Sel Areas Commun, 17, 10, pp. 1747-1757, (1999)
  • [3] Zhang G., Subcarrier and bit allocation for real-time services in multiuser OFDM systems, IEEE International Conference on Communications, pp. 2985-2989, (2004)
  • [4] Zhang D., Xu Y., Cai Y., Linear water-filling power allocation algorithm in OFDMA system, Journal of Electronics and Information Technology, 29, 6, pp. 1286-1289, (2007)
  • [5] Kvanc D., Li G., Liu H., Computationally efficient bandwidth allocation and power control for OFDMA, IEEE Transactions wireless Communications, 2, 6, pp. 1150-1158, (2003)
  • [6] Wang Y., Chen F., Wei G., Adaptive subcarrier and bit allocation for multiuser OFDM system based on genetic algorithm, International Conference on Communications, Circuits and Systems Proceedings, pp. 242-246, (2005)
  • [7] Wang B., Diao M., Gao H., An improved particle swarm optimization algorithm for knapsack problems, Applied Science and Technology, 35, 3, pp. 16-19, (2008)
  • [8] Bi X., Zhang X., A study of PAPR reduction in OFDM signals based on PSO algorithm, Applied Science and Technology, 36, 8, pp. 17-20, (2009)
  • [9] Man C., Wang K., Zhang L., A hybrid particle swarm optimization algorithm based on TS, Journal of Harbin University of Science and Technology, 14, 4, pp. 5-8, (2009)
  • [10] Bi X., Liu G., An improved particle swarm optimization algorithm based on population classification, Journal of Harbin Engineering University, 29, 9, pp. 991-996, (2008)