Channel Allocation Using Gradual Neural Network For Multi-User OFDM Systems

다중 사용자 OFDM시스템에서 Gradual Neural Network를 이용한 채널 할당

A channel allocation algorithm of multi-user OFDM(orthogonal frequency division multiplexing) system is presented. The proposed algorithm is to reduce the complexity of the system, using the GNN(gradual neural network) with gradual expansion scheme and the algorithm attempts to allocate channel with good channel gain to each user. The method has lower computational complexity and less iteration than other algorithms.