ABSTRACT
This chapter discusses some of the deterministic models which have been commonly used in the literature. It considers modeling of interference assuming deterministic and random network geometries. The chapter provides the scenario that the wireless nodes are randomly distributed in space. It focuses on a Poisson network which is a well-adopted model in the literature. The chapter suggests that only real-valued symbols are used by the interferers and therefore the in-phase component of interference is important for detection. It also describes two well-adopted medium-access techniques and explains their effect on the field of interferers and through that on the statistics of interference. These are ALOHA Networks, and carrier sense multiple access Networks. The chapter shows that the desired transmitter to be isolated from poisson point process, the field of interferers is a process and the obtained results can be applied to find the interference statistics. It demonstrates that the effect of higher-order statistics of interference on the capacity.
