Projects and How we work:
Virtually all of our research work is managed through projects. The project are, however, management and funding vehicles for the research not the end goal. Due to large number of projects, and the fact that some of them are also confidential, we do not provide full list of active projects. But one can get a good impression on what we are working with by looking our publications and illustrative examples of our previous projects described in our web-pages.
Themes, Teams, and Projects:
Our research strategy focuses on four research programs that are described in our research areas part of web presence. The actual work is done by teams in different project, and currently we have a number of active partially overlapping themes/teams operating:
Cognitive Communications: cognitive radio and intelligent resource allocation mechanisms. This team has been also classically responsible for our Dynamic Spectrum Access related work including spectrum measurement campaigns and regulatory aspects of spectrum allocation.
Ultra Dense Networks: in this theme area of staff members work on problems, opportunities, and challenges related to the densification of access networks. Two performance indicators we are particularly interested in are capacity and latency. The team has been lately considering a lot of existing and emerging standards in this domain, such as LTE-u, 802.11ax, and interoperability between technologies.
Embedded Intelligence and IoT: we have worked nearly two decades with problems of embedded networking and how to embed intelligence to different devices. Currently our main emphasis is on the machine learning enabled IoT and extremely efficient embedded protocols.
Medium Access Control: MAC design is one of the longest running research themes in iNETS and the team is particularly strong in this domain. The densification and directivity of the future communications systems are generating new challenges in this domain, and we have a number of exciting project running in this domain.
mmW and beyond communications: very high frequency millimeter-wave systems (> 28 GHz) are one of our more recent additions to our research programmes. We operate a number of testbeds at 17, 28, 60, and 70 GHz frequency ranges, where the main emphasis is on MAC, self-organisation, and true performance evaluation of very high frequency systems.
Self-Organization and Complexity: Understanding complex networks both in practice and in mathematical models is one of the key domains, which is also binding a number of teams and projects together. This domain we are also busy of trying to build models to understand self-organisation, and then use this models as a springboard to enable self-organising and cognitive networks.
Network Science and Data Analytics: The work in this team domain overlaps strongly with the self-organisation and complexity area. However, here the emphasis is specifically to understand different networks and their behaviour, and conduct (big) data analytics to verify models. The data analytics is also used strongly to understand optimisation and new application domains in wireless networks, and in this domain we cooperate very closely with some of the key industrial stakeholders using real world data.
System Studies, Vehicular Communications and Special Projects: Technology transfer to reality is close to our heart. This can happen through co-operative projects with the existing industry, through patenting, or having spin-offs done be our students. Whichever mode it is, we are proud of those results. Such technology transfer opportunities are always made as special projects with clear goals. Currently we are particularly active on the domains of vehicular communications, system studies of various systems (such as LTE-u, TVWS, IEEE802.11p, IEEE802.11ad etc.), and IoT.