Ultra-Small Cell Networks With Collaborative RF and Lightwave Power Transfer

Tran, Ha-Vu; Kaddoum, Georges; Diamantoulakis, Panagiotis D.; Abou-Rjeily, Chadi; Karagiannidis, George K.

doi:10.1109/tcomm.2019.2916874

Cited by 33 publications

(26 citation statements)

References 52 publications

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“…where Cost Batt is the cost of battery in $ and A PV is the installation area of the PV system in m 2 . Cost PV is the cost of PV panels in $/kW, Cost Rent is the rental cost of installation area in $/m 2 , P t grid is the power of the main grid in kW, and Pr t is the electricity price in $/kWh.…”

Section: Minimization Of the Total Costmentioning

confidence: 99%

“…The need to bring next generation cellular telecommunication network services to areas that do not have access to a reliable power grid results in a variety of objective challenges for telecom providers, government agencies, and researchers. Solar-powered cellular telecommunication networks can be particularly significant for regions that have poor grid connectivity while being rich in solar resources [2]. Using solar energy for supplying cellular telecommunication networks not only reduces the carbon emission, but also lowers operational cost as compared to powering from the grid or conventional sources of energy [3].…”

Section: Introductionmentioning

confidence: 99%

“…Optimal energy management of green next generation telecommunication networks is another aspect which was investigated in [2,[15][16][17][18][19][20][21][22][23][24][25][26][27][28][29][30]. The "energy consumption-based and user joint allocation" approach together with "the energy cost-based and user joint allocation" method were presented in [2]. After converting the two multi-objective optimization problems into two convex optimization problems, the convex optimization toolbox in MATLAB (MathWorks corporate, Natick, MA, USA) was used to solve the optimal allocation strategies.…”

Section: Introductionmentioning

confidence: 99%

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Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

et al. 2021

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Satisfying the mobile traffic demand in next generation cellular networks increases the cost of energy supply. Renewable energy sources are a promising solution to power base stations in a self-sufficient and cost-effective manner. This paper presents an optimal method for designing a photovoltaic (PV)-battery system to supply base stations in cellular networks. A systematic approach is proposed for determining the power rating of the photovoltaic generator and battery capacity from a technical and economical point of view in order to minimize investment cost as well as operational expenditure, while the power autonomy of the PV-battery system is maximized in a multi-objective optimization framework. The proposed method is applied to optimally size a photovoltaic-battery system for three cases with different availability of solar power to investigate the effect of environmental conditions. Problem-solving using the proposed approach leads to a set of solutions at different costs versus different levels of power autonomy. According to the importance of each criterion and the preference of decision-makers, one of the achieved solutions can be selected for the implementation of the photovoltaic-battery system to supply base stations in cellular networks.

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Section: Minimization Of the Total Costmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

et al. 2021

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“…In this regard, wireless lightwave energy recharging, operating in the visible light (VL) and infrared light (IRL) parts of the electromagnetic spectrum, has recently gained great interest from both academia and industry since it does not interfere with existing RF communication systems. Particularly, its high potential in enabling continuous wireless recharging has been confirmed in [7]- [10].…”

Section: Introductionmentioning

confidence: 99%

Lightwave Power Transfer for Federated Learning-Based Wireless Networks

et al. 2020

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Federated Learning (FL) has been recently presented as a new technique for training shared machine learning models in a distributed manner while respecting data privacy. However, implementing FL in wireless networks may significantly reduce the lifetime of energy-constrained mobile devices due to their involvement in the construction of the shared learning models. To handle this issue, we propose a novel approach at the physical layer based on the application of lightwave power transfer in the FL-based wireless network and a resource allocation scheme to manage the network's power efficiency. Hence, we formulate the corresponding optimization problem and then propose a method to obtain the optimal solution. Numerical results reveal that, the proposed scheme can provide sufficient energy to a mobile device for performing FL tasks without using any power from its own battery. Hence, the proposed approach can support the FL-based wireless network to overcome the issue of limited energy in mobile devices.

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“…As such, VLC has become a prime candidate for indoor networking, due to its vast unregulated available spectrum, low implementation cost and immunity against interference compared to conventional radio frequency (RF) systems. However, indoor VLC has to be combined with an RF network in order to support the functional limitations in the uplink scenario as well as to provide ubiquitous coverage, thus, forming a hybrid VLC/RF heterogeneous network (HetNet) [7], [8]. This kind of HetNet offers numerous research challenges in user selection, resource allocation and handover schemes.…”

Section: Introductionmentioning

confidence: 99%

User Grouping for Hybrid VLC/RF Networks With NOMA: A Coalitional Game Approach

2019

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Recently, visible light communication (VLC) networks have emerged as a promising alternative for indoor data access, due to high data rate, low implementation cost, and immunity to radio frequency (RF) interference. However, the co-existence of VLC with the RF access points as well as the dependence of VLC to room illumination compel both technologies to work in parallel and thus, to form a hybrid heterogeneous VLC/RF network. This network offers the advantages of both technologies, namely increased capacity and ubiquitous coverage. Furthermore, non-orthogonal multiple access (NOMA) is a very promising candidate technique for the next generation of wireless networks, mainly due to its increased spectrum efficiency compared to orthogonal access schemes. However, the optimal user grouping in NOMA is a combinatorial NP-complete problem, which calls for low complexity techniques. To this end, in this paper, we propose the use of coalitional game theory, where the users served by the same access point (VLC or RF) form a single coalition, while the users can switch through coalitions based on their payoff. A novel utility function is proposed that takes into account the peculiarities of the NOMA hybrid VLC/RF network. Finally, a coalition formation algorithm is presented as well as an efficient power allocation policy. Computer simulations validate the presented analysis and reveal the effectiveness of the proposed user grouping scheme compared to an opportunistic approach.INDEX TERMS Coalitional game theory, heterogeneous network, non-orthogonal multiple access (NOMA), user grouping, visible light communications (VLC).

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Ultra-Small Cell Networks With Collaborative RF and Lightwave Power Transfer

Cited by 33 publications

References 52 publications

Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

Optimum Sizing of Photovoltaic and Energy Storage Systems for Powering Green Base Stations in Cellular Networks

Lightwave Power Transfer for Federated Learning-Based Wireless Networks

User Grouping for Hybrid VLC/RF Networks With NOMA: A Coalitional Game Approach

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