关键词: 正交频分多址, 资源优化, 暂态混沌神经网络, 多用户分集增益

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