Long-term indoor propagation models for radio resource management

The radio interface is the bottleneck of most wireless communication systems. All techniques used to enhance this interface require certain knowledge of the radio environment. This knowledge usually concerns either short-term, or long-term models and statistical characteristics of the environment, depending on the technique. Short-term models are suitable especially for signal processing applications, whereas long-term models are mostly used by radio resource management techniques. Most of the existing work is either focusing on outdoor propagation or short-term models. In this paper we present first results on developing long-term indoor propagation models based on extensive measurements. The results show that fast fading in indoor propagation models cannot be modeled with one distribution alone and thus dynamic models are required. Moreover, slow fading and its characteristics change very often and cannot be modeled with fixed distribution over time.