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

Alessio Zappone; Pan Cao; Eduard Jorswieck

doi:10.1109/LSP.2014.2337014

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

Alessio Zappone, Pan Cao, Eduard Jorswieck

Research output: Contribution to journal › Article › peer-review

11 Citations (Scopus)

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.

Original language	English
Pages (from-to)	1398-1402
Number of pages	4
Journal	IEEE Signal Processing Letters
Volume	21
Issue number	11
Early online date	9 Jul 2014
DOIs	https://doi.org/10.1109/LSP.2014.2337014
Publication status	Published - 30 Nov 2014

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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.",

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AB - 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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JF - IEEE Signal Processing Letters

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

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