A Tractable Method for Chance-Constrained Power Control in Downlink Multiuser MISO Systems With Channel Uncertainty

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...

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Bibliographic Details
Published in:IEEE signal processing letters 2009-05, Vol.16 (5), p.346-349
Main Authors: Vucic, N., Boche, H.
Format: Article
Language:English
Subjects:
Allocations
Base stations
Channels
Control systems
Downlink
Imperfect channel knowledge
Inequalities
Interference
interference functions
multiple-antenna systems
Optimization
Power control
Probability
Quality of service
Robustness
Stations
Stochastic processes
stochastic programming
Strategy
Uncertainty
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Summary: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2009.2016007