Practical Adaptive Transmission with Respect to Rational Decision Theory

In this paper we study the performance of adaptive transmission methods using the rational decision theory based concept. We introduce a channel model and a diversity model for simulations and develop a method for performance evaluation using the rational decision theory and the developed channel and diversity models. Optimal scheme based on this metric differs from the traditional capacity maximization scheme because the proposed metric takes transmission related risks into account. Several theoretical and practical power control methods are investigated through analysis and simulations. Both single-input single-output (SISO) and diversity channels are considered. The proposed filtered-x least mean square (FxLMS) algorithm outperforms other practical approaches and it can be actually seen as a generalization of practical algorithms.