Abstract: We solve a sum rate maximization problem of full-duplex (FD) multiuser multiple-input-multiple-output (MU-MIMO) systems. Since additional self-interference (SI) in the uplink channel and ...

Optimization is a crucial tool throughout science and technology. Large datasets and high dimensional problems create unique challenges for standard optimization techniques such as Newton’s method, ...

This contribution is part of the special series of Inaugural Articles by members of the National Academy of Sciences elected in 2021.

Abstract: We develop a novel technique to accelerate minorization-maximization (MM) procedure for the non-orthogonal multiple access (NOMA) weighted sum rate maximization problem. Specifically, we ...