Channel simulation with large-scale time evolution in irregular cellular networks

We consider a cellular network where base stations with widely different power capabilities (power subclasses) are deployed in a highly inhomogeneous or irregular pattern-referred to in this work as an irregular cellular network. A simulation framework with slow scale time variation appropriate for irregular networks is proposed. A relevant resource allocation framework as well as shadowing and path loss models are discussed. Finally, the time evolution methodology is detailed. It is believed that the proposed simulation framework will be important in the evaluation of slowly adaptive algorithms such as those studied as part of 3GPP LTE Self Organizing Networks (SON).