Scaling method to increase data rate with no degradation in Vector Symbol Decoding performance

A scaling technique is proposed to maintain the decoding failure probability of Vector Symbol Decoding (VSD) with the increase in data rate. Specifically, the symbol size must be increased in the same ratio as the data rate. VSD is attractive since it allows for a very flexible scaling. This paper also presents a way to compute the optimal maximum number of syndromes to minimize the complexity of the decoder with no effect on the decoding performance. The results in a 2-state fading channel model show that the scaling of the symbol size from 446 to 892 (double) and to 1,784 (quadruple) bits/symbols can maintain the VSD decoding performance when the data rates are increased from 6 Mbps to 12 Mbps (double) and 24 Mbps (quadruple) respectively. General scaling ratios are also explained. The optimal numbers of maximum syndromes are presented for various convolutional codes as well.