Energy-Efficient Power Control: A Look at 5G Wireless Technologies
Alessio Zappone, Luca Sanguinetti, Giacomo Bacci, Eduard Jorswieck,, M\'erouane Debbah

TL;DR
This paper introduces energy-efficient power control algorithms for 5G wireless networks, considering minimum-rate constraints and general SINR expressions, with centralized and decentralized solutions validated through numerical analysis.
Contribution
It develops guaranteed-convergence centralized algorithms and game-theoretic decentralized methods for energy efficiency maximization in 5G networks with practical constraints.
Findings
Algorithms converge to KKT points with low complexity
Feasibility conditions for power control are derived
Numerical results compare network-centric and user-centric approaches
Abstract
This work develops power control algorithms for energy efficiency (EE) maximization (measured in bit/Joule) in wireless networks. Unlike previous related works, minimum-rate constraints are imposed and the signal-to-interference-plus-noise ratio takes a more general expression, which allows one to encompass some of the most promising 5G candidate technologies. Both network-centric and user-centric EE maximizations are considered. In the network-centric scenario, the maximization of the global EE and the minimum EE of the network are performed. Unlike previous contributions, we develop centralized algorithms that are guaranteed to converge, with affordable computational complexity, to a Karush-Kuhn-Tucker point of the considered non-convex optimization problems. Moreover, closed-form feasibility conditions are derived. In the user-centric scenario, game theory is used to study the…
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