This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

Numerical optimization has played a central role in addressing key signal processing (SP)
problems. Highly effective methods have been developed for a large variety of SP …

For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …

In this two-part paper, we propose a general algorithmic framework for the minimization of a
nonconvex smooth function subject to nonconvex smooth constraints, and also consider …

The use of multiple antennas at base stations is a key component in the design of cellular
communication systems that can meet high-capacity demands in the downlink. Under ideal …

We propose a novel decomposition framework for the distributed optimization of general
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …

In a cellular wireless system, users located at cell edges often suffer significant out-of-cell
interference. Assuming each base station is equipped with multiple antennas, we can model …

In this correspondence, we study the downlink transmission in a multi-cell system, where
multiple base stations (BSs) each with multiple antennas cooperatively design their …

To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the
interference from different transmitters must be aligned in lower-dimensional subspaces at …

Recent years have witnessed a surge of interest in parallel and distributed optimization
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …