Various interference models for multicellular scenarios: A comparative study

Statistical modeling of interference power is a useful tool to study and investigate the outage probabilities in homogeneous and heterogeneous cellular networks. Also, the ability to analyze and accurately predict the impact of interference via the use of an interference model is an essential way to improve the average throughput (cell edge throughput). There have been several statistical models for aggregating the interference power yielding in results for homogeneous sources, but focus lies on various multicellular scenarios such as heterogeneous networks. Finally, the analytical conditions on the system model parameters are derived and the distributions are determined, on which the statistical properties of interference power can be accurately modeled. This paper presents a comprehensive survey of interference models for various multicellular scenarios emphasizing their domains of application, advantages and disadvantages illustrated with examples. In addition, it gives insights which can facilitate system performance analysis and interference management.