Effect of Shadowing Correlation Modeling on the System Level Performance of Adaptive Radio Resource Management Techniques

Abstract

The use of software emulators to evaluate complex mobile communication systems is becoming increasingly useful and common. To conduct a valid and accurate study, the models employed in such simulators need to be carefully selected. On the other hand, increasing the complexity of such models in situations in which they do not affect or interact with the particular technique under study only contributes at increasing the simulator's implementation and simulation costs. In this context, this work aims at evaluating the impact of considering different types of correlation when developing shadowing models for system level investigations. For that purpose, link adaptation, an adaptive radio resource management technique, has been considered as a case study.