Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2012, Vol. 35 ›› Issue (6): 102-106.doi: 10.13190/jbupt.201206.102.zhanghb

• Reports • Previous Articles     Next Articles

Joint Subcarrier and Power Optimization in OFDMA Systems Based on Transiently Chaotic Neural Network

ZHANG Hai-bo, WANG Xiao-xiang, LI Fang-wei   

  1. 1. 泛网无线通信教育部重点实验室(北京邮电大学), 北京 100876;<br>2. 重庆邮电大学 通信与信息工程学院, 重庆 400065
  • Received:2012-03-26 Revised:2012-08-02 Online:2012-12-28 Published:2013-01-07
  • Contact: Hai-Bo ZHANG E-mail:wdbyzl@bupt.edu.cn

Abstract:

An adaptive resource optimization algorithm for multiuser orthogonal frequency division multiple access (OFDMA) system is proposed. The algorithm consists of two steps: first, subcarriers are assigned by transiently chaotic neural network (TCNN) when the power is assumpted to be divided equally to every subcarrier. Second, the averagely assigned power is reallocated in a linear water-filling fashion. Simulations show that TCNN has better convergence speed and optimization rate than Hopfield neural network and chaotic neural network. Compared with existing algorithms, the proposed algorithm further achieves higher throughput by exploiting the multiuser diversity gain.

Key words: orthogonal frequency division multiple access, resource optimization, transiently chaotic neural network, multiuser diversity gain

CLC Number: