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Modern communication systems rely on multiple antennas that enhance the performance of network links using a series of techniques known as Multiple Input Multiple Output (MIMO). However, new technology is needed to meet the demands of a rapidly increasing number of wireless devices and enable the next generation of cellular systems. Known as Massive MIMO, this adaptation of traditional MIMO techniques presents challenges to research and development teams worldwide. 

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.