A research team from IT in Aveiro is involved in the 5GinFIRE, a 3 year European H2020 project whose main goal is to build and operate an Open, and Extensible 5G NFV-based Reference (Open5G-NFV) ecosystem of experimental facilities.
The 5G network infrastructures will be a key asset to support the societal transformation that will lead us to the fourth industrial revolution, impacting multiple sectors. With the 5G technology serving a larger portfolio of applications and with a corresponding multiplicity of requirements that range from high reliability to ultra-low latency going through high bandwidth and mobility, all this diversity really puts a lot of pressure on vertical companies.
There is the necessity of a high degree of technological convergence among vertical industries empowering them with enhanced technical capacity to trigger the development of new, innovative products, applications and services.
The 5GinFIRE project plans to lay down the foundations for instantiating fully softwarised architectures of vertical industries and experimenting with them. The initial instantiation of the Open5G-NFV ecosystem will be driven by the automotive vertical deployed across state-of-the-art 5G infrastructures.
The project will enable new components, architecture designs and APIs to be trialled before they are ported to more industrially “mainstream” 5G networks that are expected to emerge in large scale in the years to come. In this scope 5GINFIRE project will organize at least two Open Calls for experiments to be implemented opening the platform to new verticals
The paper "Fast Matrix Inversion Updates for Massive MIMO Detection and Precoding" was listed in the "Top Downloads in IEEE Xplore [Reader's Choice]". Compiled in the May 2017 issue of the IEEE Signal Processing Magazine, the list presents the top-10 most downloaded papers from the IEEE Signal Processing Letters, for the last 2 years.
The paper was a result of IT´s internal project LDimM-NetCod, and was co-authored by Francisco Rosário (a former MsC student and IT scholar within the project), and his co-supervisors Francisco Monteiro and António Rodrigues, both from the Radio Systems group of IT in Lisbon.
The IEEE Signal Processing Magazine produced the following summary of the paper: “In this letter, the authors propose an on-the-fly method to recompute the zero forcing filter when a user is added or removed from massive multiple-input, multiple-output system. They evaluate the recalculation of the inverse matrix after a new channel estimation is obtained for a given user. With fewer operations, the performance after an update also remains close to the initial one.”
In the photo: Francisco Rosário, a former IT student and a scholar of the LDimM-NetCod project, is currently working at Apple Inc. in Tokyo, Japan.