Energy Allocation and Cooperation for Energy-Efficient Wireless Two-Tier Networks

Ramamonjison, Rindranirina; Bhargava, V.K.

doi:10.1109/twc.2016.2585115

Cited by 35 publications

(15 citation statements)

References 40 publications

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“…They first design an extended convex-concave procedure to tackle the non-convexity issue in the problem, and then take a well-known Dinkelbach method [135] to address the resultant subproblems. The offline algorithms developed in [164] have a polynomial-time complexity as the inner optimization problems can be resolved in a polynomial time by standard convex solvers like the interior point method [62]. The authors of [188] and [189] design multi-antenna beamformer for EH transmitters according to finite-alphabet inputs and the statistical knowledge of the CSI at the transmitters in real-time.…”

Section: A Utility Maximizationmentioning

confidence: 99%

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey

Chen

et al. 2020

IEEE Trans. on Green Commun. Netw.

110

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The advancements in smart power grid and the advocation of "green communications" have inspired the wireless communication networks to harness energy from ambient environments and operate in an energy-efficient manner for economic and ecological benefits. This article presents a contemporary review of recent breakthroughs on the utilization, redistribution, trading and planning of energy harvested in future wireless networks interoperating with smart grids. This article starts with classical models of renewable energy harvesting technologies. We embark on constrained operation and optimization of different energy harvesting wireless systems, such as point-to-point, multipoint-to-point, multipoint-to-multipoint, multi-hop, and multi-cell systems. We also review wireless power and information transfer technologies which provide a special implementation of energy harvesting wireless communications. A significant part of the article is devoted to the redistribution of redundant (unused) energy harvested within cellular networks, the energy planning under dynamic pricing when smart grids are in place, and two-way energy trading between cellular networks and smart grids. Applications of different optimization tools, such as convex optimization, Lagrangian dual-based method, subgradient method, and Lyapunov-based online optimization, are compared. This article also collates the potential applications of energy harvesting techniques in emerging (or upcoming) 5G/B5G communication systems. It is revealed that an effective redistribution and two-way trading of energy can significantly reduce the electricity bills of wireless service providers and decrease the consumption of brown energy. A list of interesting research directions are provided, requiring further investigation.Index Terms-5G/B5G communication networks, energy har-). The first two authors contributed equally to this work. vesting, smart grid, energy redistribution and trading, optimization techniques. arXiv:1912.13203v1 [eess.SY] 31 Dec 2019 EH and smart gridpowered wireless networks Types and models for RES (Sec. II) Smart grid-powered wireless networks (Sec. VIII) Wireless power and information transfer (Sec. VII) 5G/B5G applications of EH and smart gridpowered wireless networks (Sec. XI) Energy redistribution Energy planning under dynamic pricing (Sec. IX) Two-way energy trading and cooperation (Sec. X) EH-based wireless networks Point-to-point link (Sec. III) Multipoint-to-point system (Sec. IV) Multipoint-to-multipoint system (Sec. V) Multi-hop link (Sec. VI) Lessons learnt and future directions (Sec. XII) Fig. 1. The main structure of this article. from the aspects of network deployment, energy/spectrum efficiency, and delay/bandwidth versus power. Featuring energyharvesting wireless networks, beamforming techniques are reviewed in [22]. Energy scheduling, optimization, and application are presented in [23]. Circuit design, hardware implementation, EH techniques, and communication protocols are reviewed in [24]-[27] with specific emphases on radio frequen...

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Section: A Utility Maximizationmentioning

confidence: 99%

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey

Chen

et al. 2020

IEEE Trans. on Green Commun. Netw.

110

View full text Add to dashboard Cite

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“…However, the study was done in the absence of RE. In [11], maximizing the EE in a 2-tier wireless network powered by both RE and power grid is considered through power allocation. An offline algorithm based on parametric optimization is proposed.…”

Section: A Related Workmentioning

confidence: 99%

Services KPI-based Energy Management Strategies for Green Wireless Networks

Amine¹,

Hassan²,

Nuaymi³

2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Complex green wireless networks including smart grid, renewable energy and batteries need precise energy management strategies in order to realize some of the defined objectives. Although these networks have different services (streaming, web, voice call, etc.) with different requirements, most research work slightly covered the specific contribution of each of these services and their effect on the network energy consumption. In this paper, we consider advanced KPIs (Key Performance Indicators) putting forward each service contribution to energy consumption. Using these new KPIs, we propose to adapt some energy management strategies, leading to performance amelioration and new energy savings, under renewable energy and smart grid environment. Simulations indicate the efficiency of our proposed adaptation, achieving 11.45% enhancement in these new KPIs, and outperforming several benchmark algorithms with a gain up to 8% points in terms of energy savings reduction. We analyze the benefits of the services KPIs and also their limits, leading to possible new services-based efficient energy management strategies in the considered framework.

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“…Moreover, [5] considers that all BSs are equipped with RE. Energy cooperation between BSs powered by a hybrid energy source is addressed in [6]. The authors showed that their scheme can significantly improve the grid power consumption of the network.…”

Section: Introductionmentioning

confidence: 99%

“…However, their objective focused on the energy consumed by the network rather than its cost. Furthermore, [6] ignores sleep mode technique and considers that all BSs are equipped with RE. Minimizing the grid energy cost in a large-scale green cellular network powered by a hybrid energy source with sleep mode is studied in [7].…”

Section: Introductionmentioning

confidence: 99%

Battery Aging-Aware Green Cellular Networks with Hybrid Energy Supplies

Amine

Hassan

Nuaymi

2018

2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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Hybrid energy powered cellular networks are key for proposing green and cost-efficient wireless networks. Yet, the related energy management imposes severe challenges to efficiently manage the power allocation between the Renewable Energy (RE) source, the batteries and the smart power grid. The energy storage element (i.e., battery) is prone to irreversible aging mechanisms, requiring intelligent management that takes into account both the energy cost and requirements preventing battery degradation. In this work, we include this important constraint before proposing an energy management and base stations switch off algorithm for a partially RE-equipped cellular network in a variable electricity price environment. Results show that our algorithm outperforms a benchmark algorithm with a gain up to 20% in terms of electric bill reduction and enhances the battery life time by 35%.

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Energy Allocation and Cooperation for Energy-Efficient Wireless Two-Tier Networks

Cited by 35 publications

References 40 publications

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey

Modeling and Analysis of Energy Harvesting and Smart Grid-Powered Wireless Communication Networks: A Contemporary Survey

Services KPI-based Energy Management Strategies for Green Wireless Networks

Battery Aging-Aware Green Cellular Networks with Hybrid Energy Supplies

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