Low-Complexity Energy Efficiency Optimization with Statistical CSI in Two-Hop MIMO Systems

Energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is considered in this paper. Previous results in this area assume that perfect CSI is available for at least one of the source-relay and relay-destination cha...

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Bibliographic Details
Published inIEEE signal processing letters Vol. 21; no. 11; pp. 1398 - 1402
Main Authors Zappone, Alessio, Pan Cao, Jorswieck, Eduard A.
Format Journal Article
LanguageEnglish
Published New York IEEE 01.11.2014
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Amplification
Channels
Covariance matrices
Energy efficiency
Energy measurement
fractional programming
Maximization
MIMO
multiple-antenna systems
Optimization
Programming
relay-assisted communications
Relays
Resource allocation
Resource management
Signal processing
Signal processing algorithms
statistical CSI
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Summary:Energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is considered in this paper. Previous results in this area assume that perfect CSI is available for at least one of the source-relay and relay-destination channels. Instead, the case in which statistical CSI is available for both the source-relay and relay-destination channel is tackled in this letter. Using fractional programming theory and the alternating maximization algorithm, low-complexity source and relay precoding is performed, subject to quality-of-service (QoS) and power constraints.
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ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2014.2337014