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Energy-Efficient Improper Signaling for K-User Interference Channels

Authors: Soleymani, Mohammad; Lameiro Gutiérrez, Christian; Santamaría Caballero, Luis Ignacio; Schreier, Peter J.;

Energy-Efficient Improper Signaling for K-User Interference Channels

Abstract

This paper investigates the energy efficiency (EE) of improper Gaussian signaling (IGS) in a K-user interference channel (IC). IGS allows unequal variances and/or correlation between the real and imaginary parts, and it has recently been shown to be advantageous in various interference-limited scenarios. In this paper, we propose an energy-efficient IGS design for the K-user IC, which is based on a separate optimization of the powers and complementary variances of the users. We compare the EE region achieved by the proposed scheme with that achieved by conventional proper signaling and show that IGS can significantly improve the EE region. The work of M. Soleymani, C. Lameiro and P. J. Schreier was supported by the German Research Foundation (DFG) under grants SCHR1384/8-1 and LA 4107/1-1. The work of I. Santamaria was supported by the Ministerio de Economía y Competitividad (MINECO) and AEI/FEDER funds of the UE,Spain, under project CARMEN (TEC2016-75067-C4-4-R).

Country
Spain
Keywords

Energy efficiency, Improper Gaussian signaling, Interference channels, Multiuser

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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8
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78
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