Sala 1.1/2 IMDEA Networks Institute, Avda. del Mar Mediterráneo 22, 28918 Leganés – Madrid
Wireless networks are progressively displacing service provisioning towards the edge to accommodate the increasing traffic demands. This paradigm shift calls for smart policies to efficiently share network resources and ensure service delivery. In this talk, a concept of bidding and tipping for spectrum auctioning will be presented. In this concept users iteratively revise their strategies, which include bidding for spectrum, route selection and relaying incentives, to achieve their quality of service requirements. Further, a reinforcement learning algorithm will be discussed to automatize the bidding process based on users¹ previous experiences. Then, a collaborative cognitive dynamic network architecture (CDNA) will be outlined where mobile devices share their connectivities acting as access points for other users and harvest available spectrum.
Different policies for data and spectrum trading will be revised based on centralized, hybrid and distributed schemes involving primary operator, secondary operator and their respective end users. Since connectivity is provided by users, we will discuss trust mechanisms that encourage trustworthy connections for the widespread adoption of CDNA.
About Beatriz Lorenzo
Beatriz Lorenzo received the Ph.D. degree from University of Oulu, Finland, in 2012 and M.Sc degree in Telecommunication Engineering from University of Vigo, Spain, in 2008. From 2012 to 2014 she was a Postdoc at the Centre for Wireless Communications at University of Oulu. In 2014, she joint Atlantic Research Center for Information and Communication Technologies at the University of Vigo where she currently works as a Postdoc. In 2016 she was a Fulbright Visiting Scholar at the University of Florida. Her research interests include wireless networks, network architectures and protocol design, optimization and network economics.
Este evento se impartirá en inglés
NETCOM Research Group (Telematics Engineering Department, UC3M); IMDEA Networks Institute