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Max-min transmit beamforming via iterative regularization
KTH, Skolan för elektro- och systemteknik (EES), Reglerteknik. KTH, Skolan för elektro- och systemteknik (EES), Centra, ACCESS Linnaeus Centre.ORCID-id: 0000-0003-2298-6774
2017 (engelsk)Inngår i: Conference Record - Asilomar Conference on Signals, Systems and Computers, IEEE Computer Society, 2017, s. 1437-1441Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

This paper introduces an iterative optimization framework to tackle the multi-group multicast Max-Min transmit beamforming problem. In each iteration, the optimization problem is decomposed into four sub-problems, all of which can be solved using computationally efficient algorithms. The advantage of proposed method lies in its ability to handle different types of signal constraints like total power and unimodularity; a feature not exhibited by other techniques. The proposed technique outperforms the well-known semidefinite relaxation method in terms of quality of solutions.

sted, utgiver, år, opplag, sider
IEEE Computer Society, 2017. s. 1437-1441
Emneord [en]
Beamforming, Optimization, Computationally efficient, Iterative Optimization, Iterative regularization, Optimization problems, Quality of solution, Semidefinite relaxation, Signal constraints, Transmit beamforming, Iterative methods
HSV kategori
Identifikatorer
URN: urn:nbn:se:kth:diva-207984DOI: 10.1109/ACSSC.2016.7869614ISI: 000406057400253Scopus ID: 2-s2.0-85016242755ISBN: 9781538639542 (tryckt)OAI: oai:DiVA.org:kth-207984DiVA, id: diva2:1106443
Konferanse
50th Asilomar Conference on Signals, Systems and Computers, ACSSC 2016, 6 November 2016 through 9 November 2016
Merknad

QC 20170607

Tilgjengelig fra: 2017-06-07 Laget: 2017-06-07 Sist oppdatert: 2017-11-10bibliografisk kontrollert

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