Convex Optimization-Based Beamforming

By Alex B. Gershman, N. Sidiropoulos, Shahram ShahbazPanahi, Mats Bengtsson, Björn E. Ottersten. IEEE Signal Processing Magazine, 2010

569 citations recorded by the source corpus.

In this article, an overview of advanced convex optimization approaches to multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broad class of receive, transmit, and network beamformer design problems. It is demonstrated that convex optimization provides an indispensable set of tools for beamforming, enabling rigorous formulation and effective solution of both long-standing and emerging design problems.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/8389fecda1d8a654cf5ba00d09d0ab7627cbb65a

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Citations in the corpus

A Deep Learning Framework for Optimization of MISO Downlink Beamforming (2019, methodology): “The power minimization problem can be reformulated as a second-order cone programming (SOCP) [7, 8] or semideﬁnite programming (SDP) problem [13, 14], which can be solved directly by an optimization software package such as CVX [15].”
QoS-Based Transmit Beamforming in the Presence of Eavesdroppers: An Optimized Artificial-Noise-Aided Approach (2011, methodology): “For a general coverage of convex optimization for transmit beamforming, readers are referred to the magazine article [ 8 ] and the book chapter [9]; see also [10]‐[13] for some further studies on the capability of convex optimization, and [14], [15] for some emerging applications.”
Semidefinite Relaxation of Quadratic Optimization Problems (2010, methodology): “Following the same spirit, we can”
Optimal Resource Allocation in Coordinated Multi-Cell Systems (2013, background): “, information rate) depends on the weakest link in the user set, the transmitter optimizes its transmission to achieve max-min fairness at the users [80].”
Principles of minimum variance robust adaptive beamforming design (2013, methodology): “Alex himself has published as a single author or a coauthor two excellent tutorial papers on RAB and its applications [1,2].”
Multiuser MISO Beamforming for Simultaneous Wireless Information and Power Transfer (2013, background): “, [10], [11] and the references therein) to obtain efficient”
Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure [Lecture Notes] (2014, unknown): “1 Optimal Multiuser Transmit Beamforming: A Difficult Problem with a Simple Solution Structure Emil Björnson, Mats Bengtsson, and Björn Ottersten Transmit beamforming is a versatile technique for signal transmission from an array of N antennas to one or multiple users [1].”