A Distributed Power Control Algorithm for Energy Efficiency Maximization in Wireless Cellular Networks

In this letter, we propose a distributed power control algorithm for addressing the global energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR for all user equipments (UEs) in wireless cellular networks. We state the problem as a multi-objective optimization prob...

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Vydáno v:IEEE wireless communications letters Ročník 9; číslo 11; s. 1975 - 1979
Hlavní autoři: Aslani, Rojin, Rasti, Mehdi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Piscataway IEEE 01.11.2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Cellular communication
Cellular networks
Control algorithms
Control theory
Distributed power control
Electric power distribution
Energy conversion efficiency
Energy efficiency
Interference
Iterative algorithms
Iterative methods
Maximization
Minimization
multi-objective optimization problem
Multiple objective analysis
Optimization
Power consumption
Power control
Power demand
Signal to noise ratio
Throughput
wireless cellular networks
Wireless networks
ISSN:2162-2337, 2162-2345
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Shrnutí:In this letter, we propose a distributed power control algorithm for addressing the global energy efficiency (GEE) maximization problem subject to satisfying a minimum target SINR for all user equipments (UEs) in wireless cellular networks. We state the problem as a multi-objective optimization problem which targets minimizing total power consumption and maximizing total throughput, simultaneously, while a minimum target SINR is guaranteed for all UEs. We propose an iterative scheme executed in the UEs to control their transmit power using individual channel state information (CSI) such that the GEE is maximized in a distributed manner. We prove the convergence of the proposed iterative algorithm to its corresponding unique fixed point also shown by our numerical results. Additionally, simulation results demonstrate that our proposed scheme outperforms other algorithms in the literature and performs like the centralized algorithm executed in the base station and maximizes the GEE using the global CSI.
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ISSN:2162-2337
2162-2345
DOI:10.1109/LWC.2020.3010156