Learning to optimize: Training deep neural networks for interference management
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 …
problems. Highly effective methods have been developed for a large variety of SP …
Learning to optimize: Training deep neural networks for wireless resource management
For decades, optimization has played a central role in addressing wireless resource
management problems such as power control and beamformer design. However, these …
management problems such as power control and beamformer design. However, these …
Parallel and distributed methods for constrained nonconvex optimization—Part I: Theory
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 …
nonconvex smooth function subject to nonconvex smooth constraints, and also consider …
Optimal resource allocation in coordinated multi-cell systems
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 …
communication systems that can meet high-capacity demands in the downlink. Under ideal …
Decomposition by partial linearization: Parallel optimization of multi-agent systems
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 …
nonconvex sum-utility functions arising naturally in the system design of wireless multi-user …
Coordinated beamforming for MISO interference channel: Complexity analysis and efficient algorithms
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 …
interference. Assuming each base station is equipped with multiple antennas, we can model …
Cooperative interference management with MISO beamforming
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 …
multiple base stations (BSs) each with multiple antennas cooperatively design their …
Parallel and distributed successive convex approximation methods for big-data optimization
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 …
methods for large-scale systems. In particular, nonconvex large-scale optimization problems …
Parallel and distributed methods for constrained nonconvex optimization-part ii: Applications in communications and machine learning
In Part I of this paper, we proposed and analyzed a novel algorithmic framework for the
minimization of a nonconvex objective function, subject to nonconvex constraints, based on …
minimization of a nonconvex objective function, subject to nonconvex constraints, based on …
Coordinated beamforming for multiuser MISO interference channel under rate outage constraints
This paper studies the coordinated beamforming design problem for the multiple-input
single-output (MISO) interference channel, assuming only channel distribution information …
single-output (MISO) interference channel, assuming only channel distribution information …