Sharing Infrastructure and Spectrum in Mobile Networks
Abstract: As wireless operators face enormous projected increases in demand without corresponding revenue growth, increased network sharing is likely to become a major trend in the evolution of their networks. This trend manifests itself in the push for resource virtualization, dynamic spectrum access, and active infrastructure sharing among operators. In this presentation, we will discuss some of the fundamental trade-offs between spectrum and radio access infrastructure sharing. Specifically, we analyse three mobile network sharing scenarios: radio access infrastructure sharing, spectrum sharing, and the combination of the two, which we term full sharing. We perform our analysis
employing stochastic geometry models, such as the homogeneous Poisson point process and the Gauss-Poisson process, which allow us to explore the effects of varying degree of spatial correlation in base station placements of different mobile operators. We also articulate a vision for future wireless networks that is based on increased flexibility in resource usage to enable virtualized wireless networks that are tailored to the needs of service providers.
Speaker's Bio: Luiz A. DaSilva holds the chair of Telecommunications at Trinity College Dublin, Ireland. There, he is co-principal investigator of CONNECT, a telecommunications centre funded by the Science Foundation Ireland. Prof DaSilva also holds a researh position with the Bradley Department of Electrical and Computer Engineering at Virginia Tech, where he was a tenured faculty member for 17 years. His research focuses on distributed and adaptive resource management in wireless networks, and in particular radio resource sharing and the application of game theory to wireless networks. Prof DaSilva is currently a principal investigator on research projects funded by the National Science Foundation, the Science Foundation Ireland, and the European Commission. He is currently an IEEE Communications Society Distinguished Lecturer (2015-2016). Prof DaSilva is an IEEE Fellow, for contributions to cognitive networks and resource management for wireless networks.