PERFORMANCE IMPROVEMENT OFDM TRANSCEIVER SYSTEM THROUGH SELF ORGANIZING ARTIFICIAL NEURAL NETWORK

摘要

[00106] Aspects of the present application relate to development of OFDM based transceiver system. OFDM of the present disclosure can be configured in a communication system to increase capacity of the system by reducing interference among frequency channel. As frequency band allotted to operators is limited, and such limited band is used for serving a huge geographical area, aspects of the present application provide multiplexing techniques to increase capacity of the system with available band of frequency. According to one embodiment, in order to compensate above-mentioned drawbacks of OFDM multiplexing and to improve performance of the incorporating system, artificial neural networks can be introduced and configured to recognize recorded patterns, extract patterns, derive meanings from complex and imprecise data. Neural networks learn adaptively and can perform tasks, which are based on experiences from past works.