A tractable method for chance-constrained power control in downlink multiuser MISO systems with channel uncertainty

Nikola Vučić; Holger Boche

doi:10.1109/LSP.2009.2016007

A tractable method for chance-constrained power control in downlink multiuser MISO systems with channel uncertainty

Nikola Vučić
, Holger Boche

Research output: Contribution to journal › Article › peer-review

33 Scopus citations

Abstract

We consider a downlink wireless system with a multi-antenna base station (BS) and single-antenna users. The error in the channel knowledge at the BS is assumed to have Gaussian distribution. Power allocation strategies are designed in order to satisfy the users' quality-of-service targets with certain probabilities. Conservative solutions of the problems are found by applying the Vysochanskii-Petunin inequality in combination with the theory of interference functions. Significant performance improvements are obtained comparing with methods based on the worst-case optimization.

Original language	English
Pages (from-to)	346-349
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	16
Issue number	5
DOIs	https://doi.org/10.1109/LSP.2009.2016007
State	Published - 2009
Externally published	Yes

Keywords

Imperfect channel knowledge
Interference functions
Multiple-antenna systems
Stochastic programming

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10.1109/LSP.2009.2016007

Cite this

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title = "A tractable method for chance-constrained power control in downlink multiuser MISO systems with channel uncertainty",

abstract = "We consider a downlink wireless system with a multi-antenna base station (BS) and single-antenna users. The error in the channel knowledge at the BS is assumed to have Gaussian distribution. Power allocation strategies are designed in order to satisfy the users' quality-of-service targets with certain probabilities. Conservative solutions of the problems are found by applying the Vysochanskii-Petunin inequality in combination with the theory of interference functions. Significant performance improvements are obtained comparing with methods based on the worst-case optimization.",

keywords = "Imperfect channel knowledge, Interference functions, Multiple-antenna systems, Stochastic programming",

author = "Nikola Vu{\v c}i{\'c} and Holger Boche",

note = "Funding Information: Manuscript received October 06, 2008; revised January 07, 2009. Current version published March 16, 2009. This work was supported by the STREP Project IST-026905 (MASCOT) within the sixth framework programme of the European Commission. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Richard J. Kozick.",

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doi = "10.1109/LSP.2009.2016007",

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AU - Boche, Holger

N1 - Funding Information: Manuscript received October 06, 2008; revised January 07, 2009. Current version published March 16, 2009. This work was supported by the STREP Project IST-026905 (MASCOT) within the sixth framework programme of the European Commission. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Richard J. Kozick.

PY - 2009

Y1 - 2009

N2 - We consider a downlink wireless system with a multi-antenna base station (BS) and single-antenna users. The error in the channel knowledge at the BS is assumed to have Gaussian distribution. Power allocation strategies are designed in order to satisfy the users' quality-of-service targets with certain probabilities. Conservative solutions of the problems are found by applying the Vysochanskii-Petunin inequality in combination with the theory of interference functions. Significant performance improvements are obtained comparing with methods based on the worst-case optimization.

AB - We consider a downlink wireless system with a multi-antenna base station (BS) and single-antenna users. The error in the channel knowledge at the BS is assumed to have Gaussian distribution. Power allocation strategies are designed in order to satisfy the users' quality-of-service targets with certain probabilities. Conservative solutions of the problems are found by applying the Vysochanskii-Petunin inequality in combination with the theory of interference functions. Significant performance improvements are obtained comparing with methods based on the worst-case optimization.

KW - Imperfect channel knowledge

KW - Interference functions

KW - Multiple-antenna systems

KW - Stochastic programming

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DO - 10.1109/LSP.2009.2016007

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SP - 346

EP - 349

JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

IS - 5

ER -

A tractable method for chance-constrained power control in downlink multiuser MISO systems with channel uncertainty

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Keywords

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