Non-Gaussian Interference in High Frequency, Underwater Acoustic, and Molecular Communication
Abstract
The implications of non-Gaussian interference for various communication systems are explored. The focus is on the Kappa distribution, Generalized Gaussian distributions, and the distribution of the interference in molecular communication systems. A review of how dynamic systems that are not in equilibrium are modeled by the Kappa distribution and how this distribution models interference in HF communications systems at sunrise is provided. The channel model, bit error rate for single and multiple antennas, channel capacity, and polar code performance are shown. Next, a review of the Generalized Gaussian distribution that has been found to model the interference resulting from surface activities is provided. This modeling is extended to find the secrecy capacity so that information cannot be obtained by the eavesdropper. Finally, future nanomachnines are examined. The vulnerability to a receptor antagonist of a ligand-based molecule receiver is explored. These effects are considered to be interference as in other wireless systems and the damage to signal reception is quantified.
Degree
Ph.D.
Advisors
Lehnert, Purdue University.
Subject Area
Communication|Electrical engineering|Nanotechnology|Statistical physics
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