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Optimization-boosted beamforming

Gershman, Alex B. (2007)
Optimization-boosted beamforming.
2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing. Virgin Islands, USA (12.12.2007-14.12.2007)
doi: 10.1109/CAMSAP.2007.4498003
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The problem of robust multi-antenna broadcasting is considered in the case of erroneous channel state information (CSI) at the transmitter. The criterion of minimum transmission power is used subject to the constraints guaranteeing that the signal-to-noise ratio (SNR) of each intended receiver satisfies a prescribed quality of service (QoS) requirement for the worst-case norm-bounded CSI mismatch. The resulting robust broadcasting problem is non-convex and, therefore, is difficult to solve. However, a suitable semi-definite relaxation (SDR) of this problem is proposed that enables to transform it to a convex form and to compute the optimal transmitter weight vector.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2007
Autor(en): Gershman, Alex B.
Art des Eintrags: Bibliographie
Titel: Optimization-boosted beamforming
Sprache: Englisch
Publikationsjahr: 2007
Ort: Piscataway
Verlag: IEEE
Buchtitel: IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)
Veranstaltungstitel: 2nd IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Veranstaltungsort: Virgin Islands, USA
Veranstaltungsdatum: 12.12.2007-14.12.2007
DOI: 10.1109/CAMSAP.2007.4498003
Kurzbeschreibung (Abstract):

The problem of robust multi-antenna broadcasting is considered in the case of erroneous channel state information (CSI) at the transmitter. The criterion of minimum transmission power is used subject to the constraints guaranteeing that the signal-to-noise ratio (SNR) of each intended receiver satisfies a prescribed quality of service (QoS) requirement for the worst-case norm-bounded CSI mismatch. The resulting robust broadcasting problem is non-convex and, therefore, is difficult to solve. However, a suitable semi-definite relaxation (SDR) of this problem is proposed that enables to transform it to a convex form and to compute the optimal transmitter weight vector.

Fachbereich(e)/-gebiet(e): 18 Fachbereich Elektrotechnik und Informationstechnik
Hinterlegungsdatum: 20 Nov 2008 08:26
Letzte Änderung: 12 Nov 2024 12:10
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