Adaptive modulation and coding based on fuzzy logic cognitive engine

Adaptive modulation and coding (AMC) which depends on channel state information (CSI) can make the modulation and coding scheme (MCS) for the sender changed, and make the spectrum efficiency enhanced. The traditional method of AMC establishes a lookup table of MCSs at first, and then the sender chooses the proper MCS according to the CSI from feedback channel. However, this method is not suitable for frequency selective and fast fading channel. Thus, a method based on fuzzy logic cognitive engine is proposed in this paper. The type of channel is recognized by the fuzzy logic cognitive engine, then the MCSs are modified to suit for the channel type. The simulation results show that the proposed method is more suitable for frequency selective and fast fading channel. And it is more reliability under the condition of meeting the bit error rate (BER).