Dr. Sergey Andreev of Tampere University of Technology

In this talk, we comprehensively review recent advancements in radio connectivity enablers at the intersection of the 5G and the IoT realms. We explore the potential of a wide range of devices requiring connectivity at different scales (macro, micro, pico, femto, etc.) and across diverse radio access technologies (e.g., cellular and WLAN) to augment system capacity and improve connectivity experience in next-generation heterogeneous deployments. Further, we discuss the emerging concept of proximate device-to-device communication and the changes it introduces to conventional networking paradigm. We also address the unique challenges posed recently by an impressive variety of machine-type devices, with their characteristic stringent performance requirements, and the capabilities that both short- and long-range radio technologies would need to develop while accommodating those. Finally, we consider the novel spectrum usage paradigms for the future 5G-IoT ecosystem, including millimeter-wave access and licensed shared access techniques. Our study is a combined pursuit of mathematical analysis, system-level simulations, standardization, and production-ready prototyping of the key 5G-IoT solutions.

Biography:

Dr. Sergey Andreev is Senior Research Scientist at Tampere University of Technology (Finland), where he is coordinating W.I.N.T.E.R. Group (http://winter-group.net/) focusing on 5G and IoT centric research. He has (co-)authored over 100 papers (including those in IEEE JSAC, IEEE Communications Magazine, and IEEE Wireless Communications), several patents, and a number of IEEE and 3GPP standardization contributions in the areas of multi-radio heterogeneous networking, cooperative and proximate communications, energy efficiency, and machine-to-machine applications. This innovation activity has been well covered in media on both national (Interface science magazine, Finland) and international (Eurescom message, EU) levels. Sergey has been reviewer for numerous visible conferences as well as a large number of top-level international journals, and named Exemplary Reviewer by IEEE Communications Letters in 2013. He has also been invited expert at 5G-PPP Experts Workshop, China-Finland 5G Workshop, held many guest lectures at industry (Intel, Ericsson, NSN, etc.) and academia worldwide. Recently, he has been recipient of highly competitive personal research grant by the Academy of Finland (9% success rate), as well as several other prestigious scholarships and awards.

Ms. Olga Galinina, Ph.D.c of Tampere University of Technology

For the past years, the analysts have been predicting a tremendous and continuous increase in mobile traffic, causing much of industry and academia to seek out all methods to improve wireless network capacity. In the envisioned fifth-generation (5G) deployments, each user device may employ multiple radio access technologies for communicating with the network infrastructure or other proximate devices. With the growing number of such multi-radio consumer devices, network operators are increasingly willing to leverage spectrum across diverse radio technologies to boost capacity and enhance quality of service. 

We propose a novel methodology for performance evaluation of systems of multi-radio users, which is based on coupling stochastic nature of both spatial user locations and traffic time dynamics. By means of applying theoretical findings to the future 5G technologies, where the distributed unlicensed-band network (e.g., WiFi) may take advantage of the centralized control function residing in the cellular network (e.g., 3GPP LTE), we classify the most widespread types of heterogeneous network in terms of provided methodology and propose a set of analytical methods for each of them to evaluate and predict the integrated cooperative behavior on  the system level.

Biography:

Olga Galinina is a Ph.D. candidate in the Department of Electronics and Communications Engineering at Tampere University of Technology, Finland. She received her B.Sc. and M.Sc. degrees in Applied Mathematics from the Department of Applied Mathematics, Faculty of Mechanics and Physics, Saint-Petersburg State Polytechnical University, Russia. She has publications on mathematical problems in the novel telecommunication protocols in internationally recognized journals and high-level peer-reviewed conferences. Her research interests include queueing theory, stochastic processes, optimization theory and their applications; heterogeneous wireless networking, machine-to-machine, wearable and device-to-device communications.