Energy-aware power control in energy cooperation aided millimeter wave cellular networks with renewable energy resources

Xu, Bingyu, Chen, Yue, Carrión, J. Requena, Loo, Jonathan ORCID: and Vinel, Alexey (2016) Energy-aware power control in energy cooperation aided millimeter wave cellular networks with renewable energy resources. IEEE Access, 5. pp. 432-442. ISSN 2169-3536

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Increased energy consumption becomes a major issue in 5G cellular networks, which inspires the network operators to deploy renewable energy sources. However, due to the fluctuating nature of renewable energy sources, the energy harvested by base stations (BSs) may not fit for their load conditions. The transmit power of the BS needs to be redesigned again. Hence, this paper considers power control in energy cooperation enabled millimeter wave networks, to alleviate the harvested energy imbalance problem and reduce the energy waste. Each BS is solely powered by renewable energy sources and the harvested energy is allowed to be transferred between BSs. Each BS needs to determine whether the energy should be stored in the battery or transferred to others at each time slot. In this paper, power control is formulated as a stochastic optimization problem, aiming at maximizing the time average network utility while keeping the network stable. An online algorithm called dynamic energy-aware power allocation is proposed based on Lyapunov optimization, which does not need to acquire any statistical knowledge of channels and traffic arrivals. Simulation results show that compared with the power control scheme without energy cooperation, the proposed algorithm with energy cooperation can achieve higher network sum rate while reducing the delay and the required battery capacity.

Item Type: Article
Identifier: 10.1109/ACCESS.2016.2633723
Additional Information: © 2016 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See for more information.
Keywords: 5G mobile communication;cellular radio;energy harvesting;millimetre waves;power consumption;renewable energy sources;stochastic programming;telecommunication power management;5G cellular network;Lyapunov optimization;base station;dynamic energy-aware power allocation algorithm;energy consumption;energy cooperation aided millimeter wave cellular network;energy harvesting;energy imbalance problem;energy-aware power control;renewable energy resource;stochastic optimization problem;time average network utility maximization;5G mobile communication;Algorithm design and analysis;Energy consumption;Energy management;Heuristic algorithms;Millimeter wave communication;Power control;Renewable energy sources;Energy cooperation;millimeter wave;online algorithm;power control
Subjects: Computing > Systems > Computer networking
Construction and engineering > Electrical and electronic engineering
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Depositing User: Jonathan Loo
Date Deposited: 19 Jun 2017 07:47
Last Modified: 28 Aug 2021 07:23


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