期刊文献+

Resource Allocation Algorithm Based on PSO-GA for Multi-User OFDM System

Resource Allocation Algorithm Based on PSO-GA for Multi-User OFDM System
在线阅读 下载PDF
导出
摘要 In order to minimize the transmitted power in the multi-user orthogonal frequency division multiplexing(OFDM) system, a scheme combining the improved particle swarm optimization(POS) algorithm with genetic algorithm(GA) is proposed to optimize the sub-carriers and bits allocation. In the algorithm, a random velocity between the maximum and minimum particle velocity is used as the updating velocity instead of maximum or minimum velocity when the updated particle velocity is higher than the maximum particle velocity or lower than the minimum particle velocity. Then, the convergence population is used as the initial population of the genetic algorithm to optimize the subcarriers and bits allocation further. Simulation results show that the transmitted power of the proposed algorithm is about 2 d B to 10 d B lower than that of the genetic algorithm, particle swarm optimization algorithm, and Zhang's algorithm. In order to minimize the transmitted power in the multi-user orthogonal frequency division multiplexing(OFDM) system, a scheme combining the improved particle swarm optimization(POS) algorithm with genetic algorithm(GA) is proposed to optimize the sub-carriers and bits allocation. In the algorithm, a random velocity between the maximum and minimum particle velocity is used as the updating velocity instead of maximum or minimum velocity when the updated particle velocity is higher than the maximum particle velocity or lower than the minimum particle velocity. Then, the convergence population is used as the initial population of the genetic algorithm to optimize the subcarriers and bits allocation further. Simulation results show that the transmitted power of the proposed algorithm is about 2 d B to 10 d B lower than that of the genetic algorithm, particle swarm optimization algorithm, and Zhang's algorithm.
出处 《Journal of Electronic Science and Technology》 CAS CSCD 2015年第1期68-72,共5页 电子科技学刊(英文版)
基金 supported by the National Natural Science Foundation of China under Grant No.61371112
关键词 Bit allocation orthogonal frequency division multiplexing particle swarm optimization algorithm with genetic algorithm sub-carri Bit allocation,orthogonal frequency division multiplexing,particle swarm optimization algorithm with genetic algorithm,sub-carri
作者简介 Hao-Ye Zhang was born in Haimen, China in 1987. He received his B.S. and M.S. degrees in communications engineering from Nantong University in 2009 and 2012, respectively. He is currently an engineer with the Network Optimization Group of Nantong Branch, China Mobile Group Jiangsu Company Limited. His research interests include wireless networks, network optimization, and cognitive radio.Jin-Ping Mei was born in Jiujiang, China in 1988. He received his B.S. degree in electrical information engineering from Nanchang University of Technology in 2010. He is currently a graduate student with Nantong University. He is engaged in the research activities in the areas of communication signal processing, cognitive wireless networks, and OFDM.Shi-Bing Zhang was born in Shanghai, China in 1962. He received his B.S. degree in wireless communications from Dalian Maritime University in 1983, and the M.S. and Ph.D. degrees in wireless communications from Nanjing University of Posts and Telecommunications in 1989 and 2007, respectively. He worked as an associate engineer with the Nantong Changjiang Communication and Navigation Management Section from Sept. 1983 to Aug. 1986, an engineer with the Yancheng Electronic Equipment Manufactory from Feb. 1989 to Apr. 1997, and a senior engineer with the Haimen Economical Information Centre from May. 1997 to Mar. 2001. Since Apr. 2001, he has been working with Nantong University as a professor. From Jul. 2009 to Mar. 2010, Prof. Zhang was a visiting scholar with the Department of Electrical and Computer Engineering, University of Victoria. His current research interests include wireless communications and networking, OFDM system, ultra wideband communications, and cognitive radio.
  • 相关文献

参考文献13

  • 1H. Rohling and R. Gruneid, “Performance comparison of different multiple access schemes for the downlink of anOFDM communication system,” in Proc. of the 47th IEEE Vehicular Technology Conf, Phoenix, 1997, pp. 1365-1369.
  • 2R. V. Nee and R. Prasad, OFDM for Wireless Multimedia Communications, Boston: Artech House, 1999.
  • 3C. Y. Wong, R. S. Cheng, K. B. Letaief, and R. D. Murchet, “Multiuser OFDM with adaptive subcarrier, bit and power allocation,” IEEE Journal on Selected Areas in Communications, vol. 17, no. 10, pp. 1747-1758, 1999.
  • 4D. Kivanc and H. Liu, “Subcarrier allocation and power control for OFDMA,” in Proc. of the 11th Asilomar Conf. on Circuits, Systems and Computers, 2000, pp. 147-151.
  • 5D. Kivanc, G. Li, and H. Liu, “Computationally efficient bandwidth allocation and power control for OFDMA,” IEEE Trans, on Wireless Communications, vol. 2, no. 6, pp. 1150-1158, 2003.
  • 6G Zhang, “Subcarrier and bit allocation for real-time services in multiuser OFDM systems,” in Proc. of 2004 IEEE Int. Conf. on Communications, 2004, pp. 2985-2989.
  • 7S. Sadr, A. Anpalagan, and K. Raahemifar, “Radio resource allocation algorithms for the downlink of multiuser OFDM communication systems,” IEEE Commun. Surveys & Tutorials, vol. 11, no. 3, pp. 92-106,2009.
  • 8N. Ksairi, P. Bianchi, P. Ciblat, and W. Hachem, “Resource allocation for downlink cellular OFDMA systems—Part I optimal allocation,” IEEE Trans, on Signal Processing, vol. 58, no. 2, pp. 720-734, 2010.
  • 9N. Ksairi, P. Bianchi, P. Ciblat, and W. Hachem, “Resource allocation for downlink cellular OFDMA systems—Part II: practical algorithms and optimal reuse factor,” IEEE Trans, on Signal Processing, vol. 58, no. 2, pp. 735—749, 2010.
  • 10Y. Wang, F. Chen, and G Wei, “Resource allocation for multi-user OFDM system based on genetic algorithm,” Journal of South China University of Technology, vol. 33, no. 11, pp. 61-65, 2005 (in Chinese).

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部