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.