||Duy Trong Ngo (The University of Newcastle)
||Sequential Convex Programming for Multicellular Networks
with Simultaneous Wireless Information and Power Transfer
||In multicellular networks that implement simultaneous wireless information and power transfer,
many radio resource allocation problems are nonconvex by nature. It is challenging to find
optimal solutions that are computationally efficient for large-scale network deployments.
In this talk, several examples of such inherently difficult problems are presented. The sequential
convex optimization framework is then introduced. Under this framework, the nonconvex problems
are transformed into a sequence of convex problems, each of which is solved very efficiently
by the interior-point method. This state-of-the-art technique allows locally optimal solutions
to be found, which satisfy the Karush-Kuhn-Tucker conditions of the original nonconvex problems.
It can deal with a wide range of key performance objectives, including sum-rate maximization,
max-min throughput, sum-power minimization and so on.
||Dr. Duy Ngo received the B.Eng. (with First-Class Honours and University Medal) degree in
telecommunication engineering from The University of New South Wales, Australia in 2007,
the M.Sc. degree in electrical engineering (communication) from University of Alberta, Canada in 2009,
and the Ph.D. degree in electrical engineering from McGill University, Canada in 2013. Since 2013,
he has been a Lecturer (Assistant Professor) with the School of Electrical Engineering and Computer Science, The University of Newcastle, Australia. He held Visiting Professor appointments at University of Alberta
and Sungkyunkwan University in 2014 and 2015. His research interest is in the area of radio resource
allocation and interference management for wireless communication systems.