Adaptive spreading code optimization in multiantenna multipath fading channels in CDMA
Vikram Krishnamurthy, Xiaodong Wang, George Yin · 2004
The aim of this paper is to present discrete stochastic approximation algorithms for adaptively optimizing the spreading code of users in a CDMA system. The proposed algorithm can adapt to slowly time varying channel conditions. The most important property of the proposed algorithm is its self-learning capability - it spend most of the computational effort at the global minimizer of the objective function. A tracking analysis of the adaptive algorithms is also presented together with square convergence analysis. Numerical examples illustrate the performance of the algorithms in multipath fading channels.