Co-channel interference suppression with model simplification in TDMA systems

This paper studies the co-channel interference (CCI) problem for time-division-multiple-access (TDMA) cellular mobile communication systems with burst transmission. We present a method using learn vector quantization (LVQ) to cancel CCI for such systems. The model of the overall CCI is significantly simplified based on that of the individual CCI. The LVQ is realized as a classification equalizer with a decision feedback adaptive filter. An extremely small number of unique words (UWs) is utilized to initialize the LVQ equalizer. Simulation results show that the bit error rate (BER) of our proposed method is much better than that of the recently proposed nearest neighbor classification (NNC) equalizer.