Energy Efficiency Optimization in Relay-Assisted MIMO Systems With Perfect and Statistical CSI

A framework for energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is devised in this paper. Previous results in this area have focused on rate maximization or sum power minimization problems, whereas fewer re...

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Bibliographic Details
Published in:IEEE transactions on signal processing 2014-01, Vol.62 (2), p.443-457
Main Authors: Zappone, Alessio, Pan Cao, Jorswieck, Eduard A.
Format: Article
Language:English
Subjects:
Applied sciences
Coding, codes
Covariance matrices
Detection, estimation, filtering, equalization, prediction
Energy efficiency
Exact sciences and technology
fractional programming
Information, signal and communications theory
MIMO
multiple-antenna systems
Optimization
Quality of service
relay-assisted communications
Relays
resource allocation
Resource management
Signal and communications theory
Signal, noise
statistical CSI
Telecommunications and information theory
Vectors
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Summary:A framework for energy-efficient resource allocation in a single-user, amplify-and-forward (AF), relay-assisted, multiple-input-multiple-output (MIMO) system is devised in this paper. Previous results in this area have focused on rate maximization or sum power minimization problems, whereas fewer results are available when bits/Joule energy efficiency (EE) optimization is the goal. Here, the performance metric to optimize is the ratio between the system's achievable rate and the total consumed power. The optimization is carried out with respect to the source and relay precoding matrices, subject to quality-of-service (QoS) and power constraints. Such a challenging non-convex optimization problem is tackled by means of fractional programming and alternating maximization algorithms, for various channel state information (CSI) assumptions at the source and relay. In particular the scenarios of perfect CSI and those of statistical CSI for either the source-relay or the relay-destination channel are addressed. Moreover, sufficient conditions for beamforming optimality are derived, which is useful in simplifying the system design. Numerical results are provided to corroborate the validity of the theoretical findings.
ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2013.2292031