Adaptive Sub-Channel Allocation Based on Hopfield Neural Network for Multiuser OFDM

2013 ◽  
pp. 243-252
Author(s):  
Sufang Li ◽  
Mingyan Jiang ◽  
Anming Dong ◽  
Dongfeng Yuan
Keyword(s):  
Neural Network ◽  
Channel Allocation ◽  
Hopfield Neural Network ◽  
Multiuser Ofdm

Adaptive Subcarrier, Bit and Power Allocation Based on Hopfield Neural Network for Multiuser OFDM

2013 ◽  
Vol 325-326 ◽  
pp. 1706-1711 ◽  
Author(s):  
Su Fang Li ◽  
Ming Yan Jiang ◽  
An Ming Dong ◽  
Dong Feng Yuan
Keyword(s):  
Neural Network ◽  
Numerical Simulations ◽  
Power Allocation ◽  
Optimal Allocation ◽  
Hopfield Neural Network ◽  
Transmit Power ◽  
Allocation Method ◽  
New Energy ◽  
Energy Constrained ◽  
Multiuser Ofdm

A kind of adaptive subcarrier, bit and power allocation method utilizing Hopfield neural network (HNN) to minimize the overall transmit power of multiuser OFDM is studied in this paper. In order to find the power optimal subcarrier, bit and power allocation under the constraints that one subcarrier can only be allocated to one user and all users are allocated the same numbers of subcarrier, the number of bits of each subcarrier is finite, bit data can be allocated to each subcarrier, two kinds of new energy constrained functions are constructed for the HNN. It is shown through numerical simulations that the proposed methods can find the optimal allocation with less complexity compared with the exhaustive method.

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