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An Iterative Approach to Nonconvex QCQP with Applications in Signal Processing
Gharanjik, Ahmad; Shankar, Bhavani; Soltanalian, Mojtaba et al.
2016In 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Peer reviewed
 

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Keywords :
QCQP; non-convex; signal processing
Abstract :
[en] This paper introduces a new iterative approach to solve or to approximate the solutions of the nonconvex quadratically constrained quadratic programs (QCQP). First, this constrained problem is transformed to an unconstrained problem using a specialized penalty-based method. A tight upper-bound for the alternative unconstrained objective is introduced. Then an efficient minimization approach to the alternative unconstrained objective is proposed and further studied. The proposed approach involves power iterations and minimization of a convex scalar function in each iteration, which are computationally fast. The important design problem of multigroup multicast beamforming is formulated as a nonconvex QCQP and solved using the proposed method.
Research center :
SnT-SigCom
Disciplines :
Electrical & electronics engineering
Author, co-author :
Gharanjik, Ahmad ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Shankar, Bhavani  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Soltanalian, Mojtaba;  University of Illinois at Chicago (UIC) > Department of Electrical and Computer Engineering > Assistant Professor in Information Systems,
Ottersten, Björn ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
External co-authors :
yes
Language :
English
Title :
An Iterative Approach to Nonconvex QCQP with Applications in Signal Processing
Publication date :
10 July 2016
Event name :
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Event organizer :
IEEE
Event place :
Rio de Janeiro, Brazil
Event date :
10-7-2016 to 12-7-2016
Audience :
International
Main work title :
2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)
Publisher :
IEEE
ISBN/EAN :
978-1-5090-2103-1
Pages :
1-5
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 10 February 2017

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