Stochastic Wireless Networks Models

4 credits

Elements of spatial point processes. Spatial stochastic models of wireless networks. Topological structure, interference, stochastic dependencies. Elements of network information theory/statistical physics models of information flow. Role of signal propagation/random fading models. Decentralized operation, route discovery, architectural principles. Energy limitations/random failures. Recommended preparation: previous exposure to stochastic processes and information theory. Prerequisites: ECE 257B with a grade of B– or above; graduate standing.