Kapil Gulati (The University of Texas at Austin), “Radio Frequency Interference Modeling and Mitigation in Wireless Receivers”, Advisor: Prof. Brian L. Evans (2011) Wireless receivers are affected by interference generated from external sources such as other wireless users and internal sources such as switching electronics. This interference is well-modeled using non-Gaussian statistics and can severely degrade communication performance of receivers designed under an assumption of additive Gaussian noise. This dissertation derives closed-form instantaneous statistics of interference and utilizes the statistics to analyze and improve communication performance. The primary contributions are to (i) derive closed-form instantaneous statistics of interference; (ii) characterize throughput, delay, and reliability in decentralized networks with temporal correlation; and (iii) design pre-filters to mitigate interference in wireless receivers. The derived distributions are the Gaussian mixture model for centralized networks (e.g. local area and macrocell networks) and Symmetric Alpha Stable for decentralized networks (e.g. ad hoc, sensor and femtocell networks). In decentralized networks, pre-filters show a potential increase of 1-6 bits/s/Hz per link. The proposed derivations, analyses and designs can be used in conjunction with other interference management methods, such as interference alignment. For details, please access the full thesis or contact the author.