Robust Multicell Downlink Beamforming Based on Second-Order Statistics of Channel State Information

In this paper, we design downlink (DL) beamforming vectors for a multiuser multicell network when only imperfect knowledge of the channel covariance is available at base stations. Specifically, we consider two different models for covariance errors: (a)deterministic error bounded in a spherical regi...

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Published in2011 IEEE Global Telecommunications Conference - GLOBECOM 2011 pp. 1 - 5
Main Authors Ponukumati, D., Feifei Gao, Bode, M.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2011
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ISBN9781424492664
1424492661
ISSN1930-529X
DOI10.1109/GLOCOM.2011.6133644

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Abstract In this paper, we design downlink (DL) beamforming vectors for a multiuser multicell network when only imperfect knowledge of the channel covariance is available at base stations. Specifically, we consider two different models for covariance errors: (a)deterministic error bounded in a spherical region and (b) stochastic error with known probability distribution. Our objective is to minimize the total DL transmit power subject to quality of service (QoS) constraint of every user. It is shown that for both uncertainty models, the optimization can be formulated as a convex semidefinite programming (SDP) problem using the standard rank relaxation approach. Interestingly, numerical results show that the obtained solutions fulfill the rank constraint and are therefore exact.
AbstractList In this paper, we design downlink (DL) beamforming vectors for a multiuser multicell network when only imperfect knowledge of the channel covariance is available at base stations. Specifically, we consider two different models for covariance errors: (a)deterministic error bounded in a spherical region and (b) stochastic error with known probability distribution. Our objective is to minimize the total DL transmit power subject to quality of service (QoS) constraint of every user. It is shown that for both uncertainty models, the optimization can be formulated as a convex semidefinite programming (SDP) problem using the standard rank relaxation approach. Interestingly, numerical results show that the obtained solutions fulfill the rank constraint and are therefore exact.
Author Feifei Gao
Ponukumati, D.
Bode, M.
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  organization: Sch. of Eng. & Sci., Jacobs Univ., Bremen, Germany
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Snippet In this paper, we design downlink (DL) beamforming vectors for a multiuser multicell network when only imperfect knowledge of the channel covariance is...
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SubjectTerms Array signal processing
Downlink
Interference
Optimization
Quality of service
Robustness
Signal to noise ratio
Title Robust Multicell Downlink Beamforming Based on Second-Order Statistics of Channel State Information
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