Wireless random-access networks and spectra of random graphs
Abstract
This thesis is divided into two parts. In Part I we study metastability properties of queue-based random-access protocols for wireless networks. The network is modeled
as a bipartite graph whose edges represent interference constraints. In Part II we study spectra of inhomogeneous Erdős-Rényi random graphs. We focus in particular
on the limiting spectral distribution of the adjacency and Laplacian matrices and on the largest eigenvalue of the adjacency matrix.
Wireless networksRandom-access protocolsMetastabilityTransition timeInhomogeneous Erdős-Rényi graphsEmpirical spectral distributionAdjacency matrixLaplacian matrixLargest eigenvalueLarge deviations

