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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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
Online AccessGet full text
ISSN1070-9908
1558-2361
DOI10.1109/LSP.2014.2337014

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Abstract 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.
AbstractList 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.
Author Zappone, Alessio
Pan Cao
Jorswieck, Eduard A.
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CitedBy_id crossref_primary_10_1109_TCOMM_2016_2577032
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crossref_primary_10_1109_TCOMM_2020_3003667
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SubjectTerms 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
Title Low-Complexity Energy Efficiency Optimization with Statistical CSI in Two-Hop MIMO Systems
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