Both the use of very large arrays of antennas and flexible time division duplexing (TDD) designs have become prominent features of next generation 5G cellular systems.

Learning and Intelligent Optimization (LION) is the combination of machine learning from data and optimization to solve challenging and dynamic problems, previously thought to require intelligent human intervention and creativity.

ETSI Centre for Testing and Interoperability will be organizing its first NFV Plugtests^TM event on 23 January to 3 February 2017, hosted by 5TONIC Laboratory, headquartered at IMDEA Networks Institute, in Leganés, Madrid, Spain.

There is a considerable demand for reconfigurable/tunable and compact devices in the Radio Frequency (RF) frontend modules as well as in the antenna systems in modern and future wireless systems for broadcast, communications, radar and imaging, either for frequency tuning and adaptive power matching as well as for polarization tuning and electronic beam steering.

5TONIC, together with IMDEA Networks, OpenDayLight, University Carlos III of Madrid (UC3M) and Telefonica is proud to announce the Workshop on OpenDayLight and NFV/SDN Orchestration, which will be held at UC3M on October 19^th. The workshop is sponsored by the Linux Foundation.

Nowadays, we are experiencing a growing interest in data science, a relatively new discipline at the intersection between Statistical Learning, Engineering and Operations Research in which practitioners develop and use techniques and algorithms to extract useful insights from an increasing number of huge collections of data.

The Internet faces a fundamental resource shortage problem: We have run out of freely available IPv4 address space. Today, four out of five of the registries serving the global demand for IPv4 address space have exhausted their address reserves. Networks in need of IPv4 address space can no longer get more address allocations from their respective registries.

A demonstration of technological advances made by the project 5G-Crosshaul will be made to Telefonica officials on October 4^th, 2016, at IMDEA Networks Institute.

The lack of predictive power over complex systems either designed by humans or evolved by nature, is a foundational problem in contemporary science. Real networks such as the Internet, the Web, social and biological networks, have acquired emergent large-scale properties that are beyond our full understanding, much less prediction or control. Astonishingly, these emergent properties are the same across networks from drastically different domains, and are the ones required to facilitate the optimality of some important network functions, such as information transport.

We discuss some applications of Bayesian games to interesting networking scenarios.