We investigate how individual mobile services are consumed at a national scale, by studying data collected in a 3G/4G mobile network deployed over a major European country. Through correlation and clustering analyses, our study unveils a strong heterogeneity in the demand for different mobile services, both in time and space. In particular, we show that: (i) somehow surprisingly, almost all considered services exhibit quite different temporal usage patterns; (ii) in contrast to such temporal behavior, spatial patterns are fairly uniform across all services; (iii) when looking at usage patterns at different locations, the average traffic volume per user is dependent on the urbanization level, yet its temporal dynamics are not. Our findings do not only have sociological implications, but are also relevant to the orchestration of network resources.

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.

This integrated demo will interconnect different transport technologies carrying backhaul traffic, fronthaul traffic and both in one network, which demonstrates the 5G-Crosshaul data plane technologies developed in the project.

Ander Galisteo, estudiante de doctorado en Ingeniería Telemática en el instituto de investigación IMDEA Networks, ha sido invitado a impartir esta charla de divulgación científica dentro del programa "Jóvenes Científicos 2017" de la Semana de la Ciencia de Madrid. 

La Universidad Carlos III de Madrid (UC3M) participa en la decimoséptima edición de la Semana de la Ciencia de Madrid con más de una treintena de actividades gratuitas que permiten conocer de primera mano la I+D+i de la institución. IMDEA Networks colabora en un espectáculo multimedia, teatral y divulgativo para explorar los efectos de la tecnología 5G en la vida cotidiana  que se celebrará el 7 de noviembre en el Auditorio de la UC3M.  

Access to a common (communication) resource has been one of the fundamental problems in the various networking technologies that have emerged over the last half a century.

Queueing theory, the set of probabilistic techniques that study waiting lines or queues, is a fundamental tool to analyze the performance of modern telecommunication networks. In this talk, we present the results of the performance analysis of two queueing systems.

Over the past decades, large-scale and decentralized cyber-physical systems (CPS) have emerged, benefiting from the commoditization of computation, sensing and communication.

A new two-dimensional modulation technique called Orthogonal Time Frequency Space (OTFS) modulation designed in the delay-Doppler domain is introduced as a waveform ideally suited to new 5G use cases. Through this design, which exploits full diversity over time and frequency, OTFS coupled with equalization converts the fading, time-varying wireless channel experienced by modulated signals such as OFDM into a time-independent channel with a complex channel gain that is roughly constant for all symbols. Thus, transmitter adaptation is not needed. This extraction of the full channel diversity allows OTFS to greatly simplify system operation and significantly improves performance, particularly in systems with high Doppler, short packets, and large antenna arrays. Simulation results indicate at least several dB of block error rate performance improvement for OTFS over OFDM in all of these settings which translates to significant spectral efficiency improvements.