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

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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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AU - Boche, Holger

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PY - 2009

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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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JO - IEEE Signal Processing Letters

JF - IEEE Signal Processing Letters

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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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