Resource allocation for downlink OFDM system using noisy chaotic neural network

To advance the spectral efficiency further, a dynamic subcarrier allocation technique is investigated using the noisy chaotic neural network (NCNN) in the orthogonal frequency division multiplexing (OFDM) downlink system. By constructing the energy function elaborately, and fully exploiting the multiuser diversity gain, compared to existing schemes the proposed algorithm finds a better solution through the rich neurodynamics (stochastic noise and flexible chaos) of the NCNN.