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As communication systems embrace ever wider bandwidths and the FCC seeks to codify next-generation standards, Analog-to-Digital-Converters (ADCs) struggle to meet rate, resolution and power requirements for these systems. The massive antenna arrays under consideration for next-generation wireless, which include tens or even hundreds of receiver channels, only exacerbate the problem.

In August, WNCG Professor Francois Baccelli co-organized a workshop at the Issac Newton Institute for Mathematical Sciences in Cambridge (UK) with Venkat Anantharam (Berkeley), Sergey Foss (Heriot-Watt) and Peter Glynn (Stanford). The workshop was titled Stochastic Processes and Communication Science. The workshop was focused on probabilistic techniques for the analysis of networks, with central applications in communications, social networks and energy systems. The meeting concentrated around three major mathematical themes: stochastic networks, big data analysis, spatial stochastic models.