Distributed Algorithms for Spectral and Energy-Efficiency Maximization of K-User Interference Channels

In this paper, we propose a cooperative distributed framework to optimize a variety of rate and energy-efficiency (EE) utility functions, such as the minimum-weighted rate or the global EE, for the <inline-formula> <tex-math notation="LaTeX">K </tex-math></inline-formu...

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Vydané v:	IEEE access Ročník 9; s. 96948 - 96963
Hlavní autori:	Soleymani, Mohammad, Santamaria, Ignacio, Schreier, Peter J.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Piscataway IEEE 2021 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Beamforming Convergence Cost function Deep learning Distributed algorithms Energy conversion efficiency energy-efficiency region fairness rate global energy efficiency Interference majorization minimization Measurement MIMO communication Network topologies Noise Optimization Signal to noise ratio SIMO systems sum-rate maximization Utility functions Wireless communication
ISSN:	2169-3536, 2169-3536
On-line prístup:	Získať plný text
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