Relay Selection for Heterogeneous Cellular Networks with Renewable Green Energy Sources

Hung, Hui-Ju; Ho, Ting-Yu; Lee, Shi-Yong; Yang, Chun-Yuan; Yang, Ding‐Yah

doi:10.1109/tmc.2017.2725266

Cited by 20 publications

(11 citation statements)

References 41 publications

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“…• Switch Source: this part of the framework is the part that makes the switching between the sources of energy. It can be developed using remote triggering or other techniques that can be found in the literature, such as [2] [3]. For making this framework feasible, it is necessary to define the types of communications among the components.…”

Section: The Iot-based Framework For Smart Bssmentioning

confidence: 99%

See 1 more Smart Citation

The Prototype Implementation of an IoT-based Framework for Energy Reliability and Asset Security in Base Stations

Miranda¹,

Campos²,

Ribeiro³

2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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The paper discusses an Internet of Things-based framework that is suitable for designing cost-effective Smart Base Stations that need energy delivery continuity and asset security. Also, the implementation of a prototype of a Smart Base Station that is based on the proposed IoT framework is described. In addition, a field trial of the implemented prototype is presented. Overall, we show that the discussed IoT-based framework is an important tool for reducing interruptions of telecommunication services in Base Stations and, as a consequence, avoiding expenses with fines.

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Section: The Iot-based Framework For Smart Bssmentioning

confidence: 99%

“…In addition, the configuration can be on-grid or offgrid. Previous researches have addressed different methods and alternatives for feeding BSs [2] [3].…”

Section: Introductionmentioning

confidence: 99%

The Prototype Implementation of an IoT-based Framework for Energy Reliability and Asset Security in Base Stations

Miranda¹,

Campos²,

Ribeiro³

2019

Anais De XXXVII Simpósio Brasileiro De Telecomunicações E Processamento De Sinais

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“…[1] Small scale RES trading • Fair revenue and division model using coalitional game formulation • Provides optimal consumption, prices and profit results S.K. Tiwari et.al [2] Design and control of micro-grid • Autonomous RES control system • Automatic charging and discharging Hui-Ju Hung et.al [3] Cellular relay selection with green energy…”

Section: B Random Access In Ltementioning

confidence: 99%

“…These off-grid systems not only produce energy but also reduce transmission losses and cost of production, distribution, and maintenance [2]. Work in [3] discusses a relay selection scheme for cellular networks, powered by green energy sources. However, the major goal is to reduce power consumption and dependency of cellular relay stations from traditional grids, the work is related to our proposed aggregation scheme for cellular network relays.…”

Section: Introductionmentioning

confidence: 99%

NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

Kumbhar¹

2018

ijacsa

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Renewable sources like solar and wind energy have seen a drastic increase in the market, especially in developing countries where electricity prices are high and QoS and QoE, both are at their lowest. In this paper, we innovate by proposing a paradigm of smart off-grid from sensing using an Internet of Things (IoT) based smart meter for continuous monitoring, to reporting a daily user on their smart devices using IoT middleware. Our proposed smart off-grid system keeps track of the performance and faults of the off-grid equipment. Under communication technology scrutiny, we model 3GPP Narrow Band IoT (NB-IoT) collision and success probability of grouping smart meter communications to avoid random access channel (RACH) congestion. The proposed smart off-grid communications outperform existing systems and achieve 1.3 to 20 times higher SINR, more than 30 Mbps data rate in 4G, three times higher data rate in NB-IoT, 25% fewer collisions and 25% higher success rate.

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“…This, however, changes the way the traditional (top-down) energy system works and poses new challenges (e.g., intermittent RES production) for local system operators (e.g., DSOs) to control electricity flows in their local grids, the security of which they were traditionally responsible for. To cope with this challenge, the idea of a so-called cellular energy system [16,20,40] has emerged as a new way of organizing and structuring the lower levels of the existing energy system e.g., (sub-) DSO grid (see Figure 1a). Similar to the Internet, cellular energy system consists of a number of cells (sub-networks), where each is defined by a set of players (roles) operating in the area with their own energy assets and energy management and trading/exchange capabilities.…”

Section: Introductionmentioning

confidence: 99%

Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems

Šikšnys

Pedersen

Aftab

et al. 2019

Proceedings of the Tenth ACM International Conference on Future Energy Systems

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Accelerated local deployments of renewable energy sources and energy storage units, as well as increased overall flexibility in local demand and supply through active user involvement and smart energy solutions, open up new opportunities (e.g., self-sufficiency and CO 2 neutrality through local renewables) and yet pose new challenges (e.g., how to maintain the security of supply and get the best yield) to market players in the lower parts of the energy system (including prosumers, energy communities, aggregators, and distribution system operators (DSOs)). One way to cope with the challenges requires "logical" reorganization of the energy system bottom-up as a number of nested (maximally) self-sufficient and interacting cells with their own local (i.e. within a cell) energy management and trading capabilities. This change necessitates effective IT-based solutions. Towards this goal, we propose a unified Flexibility Modeling, Management, and Trading System (FMTS) that generalizes flexibility modeling, management, and intra-cell trading in such cellular energy systems. Our system offers different flexibility provisioning options (Machine Learning based, and Model Predictive Control based), activation mechanisms (indirect and direct device-control), and trading schemes (e.g. flexibility contracts, market-based trading) and suits different cellular system use-cases. In this paper, we introduce the FMTS, overview its core functionality and components, and explain how it practically manages, prices, and trades flexibility from a diverse variety of loads. We then introduce the real-world FMTS instances developed in the GOFLEX project 1 and present experimental results that demonstrate significantly increased flexibility capacities, user gains, and balance between demand and supply when an FMTS instance is used in the simulated cellular energy system setting.

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Relay Selection for Heterogeneous Cellular Networks with Renewable Green Energy Sources

Cited by 20 publications

References 41 publications

The Prototype Implementation of an IoT-based Framework for Energy Reliability and Asset Security in Base Stations

The Prototype Implementation of an IoT-based Framework for Energy Reliability and Asset Security in Base Stations

NB-IoT Pervasive Communications for Renewable Energy Source Monitoring

Flexibility Modeling, Management, and Trading in Bottom-up Cellular Energy Systems

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