  Signal to Noise Ratio (SNR) is an important index for wireless
communications. In CDMA systems, spreading sequences are utilized. This series
of papers show the method to derive spreading sequences as the solutions of
non-linear programming: maximize SNR. In this paper, we derive the optimization
problems with the expression SNR derived in Part I and the necessary conditions
for the global solutions. We numerically solve the problems and evaluate the
solutions with two factors, mean-square correlations and maximum mean-square
correlations.
