scholarly journals PV-Powered CoMP-Based Green Cellular Networks with a Standby Grid Supply

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Abu Jahid ◽  
Abdullah Bin Shams ◽  
Md. Farhad Hossain
Keyword(s):  
Solar Energy ◽  
Transmission Line ◽  
Cellular Networks ◽  
Network Architecture ◽  
Energy Demand ◽  
Base Station ◽  
Storage Device ◽  
Management Technique ◽  
Additional Energy ◽  
The Impact

This paper proposes a novel framework for PV-powered cellular networks with a standby grid supply and an essential energy management technique for achieving envisaged green networks. The proposal considers an emerging cellular network architecture employing two types of coordinated multipoint (CoMP) transmission techniques for serving the subscribers. Under the proposed framework, each base station (BS) is powered by an individual PV solar energy module having an independent storage device. BSs are also connected to the conventional grid supply for meeting additional energy demand. We also propose a dynamic inter-BS solar energy sharing policy through a transmission line for further greening the proposed network by minimizing the consumption from the grid supply. An extensive simulation-based study in the downlink of a Long-Term Evolution (LTE) cellular system is carried out for evaluating the energy efficiency performance of the proposed framework. System performance is also investigated for identifying the impact of various system parameters including storage factor, storage capacity, solar generation capacity, transmission line loss, and different CoMP techniques.

An Efficient IR-HARQ Power Allocation for Relay-Aided Cellular Networks

2018 ◽  
Vol 27 (12) ◽  
pp. 1850195
Author(s):  
P. Mangayarkarasi ◽  
J. Raja
Keyword(s):  
Power Allocation ◽  
Cellular Networks ◽  
Channel Capacity ◽  
Energy Efficient ◽  
Base Station ◽  
Relay Station ◽  
Decode And Forward ◽  
Relay Placement ◽  
Cell Coverage ◽  
The Impact

Energy-efficient and reliable data transmission is a challenging task in wireless relay networks (WRNs). Energy efficiency in cellular networks has received significant attention because of the present need for reduced energy consumption, thereby maintaining the profitability of networks, which in turn makes these networks “greener”. The urban cell topography needs more energy to cover the total area of the cell. The base station does not cover the entire area in a given topography and adding more number of base stations is a cost prohibitive one. Energy-efficient relay placement model which calculates the maximum cell coverage is proposed in this work that covers all sectors and also an energy-efficient incremental redundancy-hybrid automatic repeat request (IR-HARQ) power allocation scheme to improve the reliability of the network by improving the overall network throughput is proposed. An IR-HARQ power allocation method maximizes the average incremental mutual information at each round, and its throughput quickly converges to the ergodic channel capacity as the number of retransmissions increases. Simulation results show that the proposed IR-HARQ power allocation achieves full channel capacity with average transmission delay and maintains good throughput under less power consumption. Also the impact of relaying performance on node distances between relay station and base station as well as between user and relay station and relay height for line of sight conditions are analyzed using full decode and forward (FDF) and partial decode and forward (PDF) relaying schemes. Compared to FDF scheme, PDF scheme provides better performance and allows more freedom in the relay placement for an increase in cell coverage.

scholarly journals Harnessing Renewable Energy at Kalasalingam Academy of Research and Education – A Role Model Case

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Neelakandan T.R. ◽  
Pandiyarajan V ◽  
Shasi Anand Sridharan ◽  
Nagaraj Ramrao
Keyword(s):  
Renewable Energy ◽  
Solar Energy ◽  
Energy Demand ◽  
Role Model ◽  
Carbon Sink ◽  
Renewable Energy Sources ◽  
Environmental Benefits ◽  
Energy Sources ◽  
Research And Education ◽  
The Impact

Global energy demand and environmental concerns are the driving force for the use of alternative sustainable and ecofriendly renewable energy sources. Solar energy is the inexhaustible and CO2 emission free energy source worldwide. It produces significant environmental benefits in comparison to the conventional energy sources, thus contributing to the sustainable development of human activities. It produces clean and renewable power from the sun and benefits the environment without causing air and water pollution. Alternatives to fossil fuels reduce carbon foot print across the globe reducing emission of greenhouse gases and become ecofriendly. Solar power has attracted the largest share of new investments in solar energy across the world. This research article shows light on the solar energy sources developed by Kalasalingam Academy of Research and Education (KARE) for the effective utilization of solar energy in the campus and its impact on the reduction in carbon foot print and also the impact of green vegetation as a source of carbon sink for an ecofriendly campus.

scholarly journals Stochastic Geometry Analysis of Downlink Spectral and Energy Efficiency in Ultradense Heterogeneous Cellular Networks

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
Jiaqi Lei ◽  
Hongbin Chen ◽  
Feng Zhao
Keyword(s):  
Energy Efficiency ◽  
Cellular Networks ◽  
Stochastic Geometry ◽  
Density Ratio ◽  
Base Station ◽  
Small Cell ◽  
Base Stations ◽  
Heterogeneous Cellular Networks ◽  
Downlink Throughput ◽  
The Impact

The energy efficiency (EE) is a key metric of ultradense heterogeneous cellular networks (HCNs). Earlier works on the EE analysis of ultradense HCNs by using the stochastic geometry tool only focused on the impact of the base station density ratio and ignored the function of different tiers. In this paper, a two-tier ultradense HCN with small-cell base stations (SBSs) and user equipments (UEs) densely deployed in a traditional macrocell network is considered. Firstly, the performance of the ultradense HCN in terms of the association probability, average link spectral efficiency (SE), average downlink throughput, and average EE is theoretically analyzed by using the stochastic geometry tool. Then, the problem of maximizing the average EE while meeting minimum requirements of the average link SE and average downlink throughput experienced by UEs in macrocell and small-cell tiers is formulated. As it is difficult to obtain the explicit expression of average EE, impacts of the SBS density ratio and signal-to-interference-plus-noise ratio (SINR) threshold on the network performance are investigated through numerical simulations. Simulation results validate the accuracy of theoretical results and demonstrate that the maximum value of average EE can be achieved by optimizing the SBS density ratio and the SINR threshold.

scholarly journals New framework for interference and energy analysis of soft frequency reuse in 5G networks

2020 ◽  
Vol 9 (5) ◽  
pp. 1941-1949
Author(s):  
Achonu Adejo ◽  
Osbert Asaka ◽  
Habeeb Bello- Salau ◽  
Caroline Alenoghena
Keyword(s):  
Cellular Networks ◽  
Spectral Efficiency ◽  
Network Performance ◽  
Base Station ◽  
Frequency Reuse ◽  
Base Stations ◽  
System Capacity ◽  
Management Technique ◽  
5G Networks ◽  
Soft Frequency Reuse

Cellular networks are expanding massively due to high data requirements from mobile devices. This has motivated base station densification as an essential requirement for the 5G network. The implication is obvious benefits in enhanced system capacity, but also increased challenges in terms of interference. One important interference management technique which has been widely adopted in cellular networks is frequency reuse. In this article, an analysis is presented based on network interference and energy expended by base stations in downlink communication when Soft frequency reuse (SFR) is deployed. A framework is presented that captures the bandwidth overlaps in SFR across base station assignments, computes the interference probabilities arising and derives new performance equations which are verified using simulations. Results show an improvement of over previous SFR implementations that do not consider the interference probabilities. Thus, a more in-depth and accurate modelling of SFR in 5G networks is achieved. Furthermore, the downlink power allocation is investigated as against other parameters like the center ratio and edge bandwidth. The result shows that signal-to-interference-noise ratio (SINR) and spectral efficiency give different performance under energy consideration. A framework is developed on how to tune a base station to achieve desired network performance in user SINR or cell spectral efficiency depending on the operator’s preference.

scholarly journals The Influence of Electric Vehicle Charging on Low Voltage Grids with Characteristics Typical for Germany

2019 ◽  
Vol 10 (4) ◽  
pp. 88 ◽  
Author(s):  
Lukas Held ◽  
Alexandra Märtz ◽  
Dominik Krohn ◽  
Jonas Wirth ◽  
Martin Zimmerlin ◽  
...  
Keyword(s):  
Electric Vehicles ◽  
Energy Demand ◽  
Power Flow ◽  
Low Voltage ◽  
Power Grid ◽  
Peak Load ◽  
Market Penetration ◽  
Additional Energy ◽  
Grid Topology ◽  
The Impact

The increasing number of electric vehicles poses new challenges to the power grid. Their charging process stresses the power system, as additional energy has to be supplied, especially during peak load periods. This additional load can result in critical network situations depending on various parameters. These impacts may vary based on market penetration, the energy demand, the plug-in time, the charging rate, and the grid topology and the associated operational equipment. Hence, the impact of electric vehicles (EVs) on the power grid was analysed for twelve typical German low voltage grids by applying power flow calculations. One main result was that thermal and voltage-related network overloads were highly dependent on market penetration and grid topology.

scholarly journals Analysis of the Dependence between Energy Demand Indicators in Buildings Based on Variants for Improving Energy Efficiency in a School Building

2017 ◽  
Vol 26 (3) ◽  
pp. 31-41
Author(s):  
Marta Skiba ◽  
Natalia Rzeszowska
Keyword(s):  
Energy Efficiency ◽  
Energy Demand ◽  
Energy Use ◽  
Primary Energy ◽  
School Building ◽  
The European Union ◽  
Public Buildings ◽  
Additional Energy ◽  
The Impact ◽  
The Relationship

Abstract One of the five far-reaching goals of the European Union is climate change and sustainable energy use. The first step in the implementation of this task is to reduce energy demand in buildings to a minimum by 2021, and in the case of public buildings by 2019. This article analyses the possibility of improving energy efficiency in public buildings, the relationship between particular indicators of the demand for usable energy (UE), final energy (FE) and primary energy (PE) in buildings and the impact of these indicators on the assessment of energy efficiency in public buildings, based on 5 variants of extensive thermal renovation of a school building. The analysis of the abovementioned variants confirms that the thermal renovation of merely the outer envelope of the building is insufficient and requires the use of additional energy sources, for example RES. Moreover, each indicator of energy demand in the building plays a key role in assessing the energy efficiency of the building. For this reason it is important to analyze each of them individually, as well as the dependencies between them.

scholarly journals Correlated Blocking in mmWave Cellular Networks: Macrodiversity, Outage, and Interference

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1187 ◽  
Author(s):  
Enass Hriba ◽  
Matthew C. Valenti
Keyword(s):  
Cellular Networks ◽  
Signal To Noise Ratio ◽  
Base Station ◽  
Base Stations ◽  
Selection Combining ◽  
Diversity Combining ◽  
Real World Data ◽  
Noise Ratio ◽  
The Impact ◽  
Do So

In this paper, we provide a comprehensive analysis of macrodiversity for millimeter wave (mmWave) cellular networks. The key issue with mmWave networks is that signals are prone to blocking by objects in the environment, which causes paths to go from line-of-sight (LOS) to non-LOS (NLOS). We identify macrodiversity as an important strategy for mitigating blocking, as with macrodiversity the user will attempt to connect with two or more base stations. Diversity is achieved because if the closest base station is blocked, then the next base station might still be unblocked. However, since it is possible for a single blockage to simultaneously block the paths to two base stations, the issue of correlated blocking must be taken into account by the analysis. Our analysis characterizes the macrodiverity gain in the presence of correlated random blocking and interference. To do so, we develop a framework to determine distributions for the LOS probability, Signal to Noise Ratio (SNR), and Signal to Interference and Noise Ratio (SINR) by taking into account correlated blocking. We validate our framework by comparing our analysis, which models blockages using a random point process, with an analysis that uses real-world data to account for blockage. We consider a cellular uplink with both diversity combining and selection combining schemes. We also study the impact of blockage size and blockage density along with the effect of co-channel interference arising from other cells. We show that the assumption of independent blocking can lead to an incorrect evaluation of macrodiversity gain, as the correlation tends to decrease macrodiversity gain.

scholarly journals Impact of scheduling algorithms on the performance of telemedicine traffic in cellular networks

2021 ◽  
Vol 9 (2) ◽  
pp. 13-27
Author(s):  
E. J. Obamila ◽  
Keyword(s):  
Cellular Networks ◽  
Medical Information ◽  
Scheduling Algorithms ◽  
Base Station ◽  
Medical Data ◽  
Traffic Load ◽  
Critical Data ◽  
Scheduling Scheme ◽  
The Impact ◽  
Efficient Transmission

Efficient transmission of medical information is an emerging area of telecommunication engineering because it conveys critical data about a patient’s state and vital measurements. Consequently, it is required that such transmissions be accelerated and errorless. This requirement is beyond the norm of only scheduling users at a Base Station but calls for the provisioning of guaranteed bandwidth for transmission of these critical medical data. To achieve this, there is a need to develop a scheduling scheme that will prioritize all forms of Telemedicine traffic over regular traffic at the Base Station. But there is also the need to measure, evaluate and quantify the impact of the developed scheduling scheme on telemedicine traffic transmission in cellular networks in terms of the throughputs attained. To address these problems, priority and non-priority based scheduling algorithms for telemedicine traffic transmission were developed and simulated using MATLAB 8.1.0 software and the impact of the developed algorithm on telemedicine traffic transmission was evaluated. The result represents a significant increase in telemedicine user’s throughputs with a priority scheduling scheme. Over 20 rounds, the impact of packet sizes, traffic load conditions and codec rates on the average throughputs of telemedicine traffics were studied and discussed.

scholarly journals Energy Flexibility as Additional Energy Source in Multi-Energy Systems with District Cooling

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 519
Author(s):  
Alice Mugnini ◽  
Gianluca Coccia ◽  
Fabio Polonara ◽  
Alessia Arteconi
Keyword(s):  
Energy Source ◽  
Energy Demand ◽  
Energy Systems ◽  
Energy System ◽  
Energy Performance ◽  
Primary Energy ◽  
Energy Sources ◽  
Variable Load ◽  
Additional Energy ◽  
The Impact

The integration of multi-energy systems to meet the energy demand of buildings represents one of the most promising solutions for improving the energy performance of the sector. The energy flexibility provided by the building is paramount to allowing optimal management of the different available resources. The objective of this work is to highlight the effectiveness of exploiting building energy flexibility provided by thermostatically controlled loads (TCLs) in order to manage multi-energy systems (MES) through model predictive control (MPC), such that energy flexibility can be regarded as an additional energy source in MESs. Considering the growing demand for space cooling, a case study in which the MPC is used to satisfy the cooling demand of a reference building is tested. The multi-energy sources include electricity from the power grid and photovoltaic modules (both of which are used to feed a variable-load heat pump), and a district cooling network. To evaluate the varying contributions of energy flexibility in resource management, different objective functions—namely, the minimization of the withdrawal of energy from the grid, of the total energy cost and of the total primary energy consumption—are tested in the MPC. The results highlight that using energy flexibility as an additional energy source makes it possible to achieve improvements in the energy performance of an MES building based on the objective function implemented, i.e., a reduction of 53% for the use of electricity taken from the grid, a 43% cost reduction, and a 17% primary energy reduction. This paper also reflects on the impact that the individual optimization of a building with a multi-energy system could have on other users sharing the same energy sources.

scholarly journals Strategic overview of management of future solar photovoltaic panel waste generation in the Indian context

2021 ◽  
pp. 0734242X2110039
Author(s):  
Neelam Rathore ◽  
Narayan Lal Panwar
Keyword(s):  
Solar Energy ◽  
End Of Life ◽  
Energy Demand ◽  
Positive Impact ◽  
Negative Influence ◽  
Toxic Waste ◽  
Solar Photovoltaic ◽  
Technological Advancement ◽  
Solar Panels ◽  
The Impact

Solar energy has become a leading solution to meet the increasing energy demand of growing populations. Solar photovoltaic technology is an efficient option to generate electricity from solar energy and mitigate climate change. Although the development and growth of solar photovoltaics has had a positive impact on energy system decarbonization, but end-of-life solar panels might become toxic waste if not properly disposed of. Presently in India, approximately 200,000 tonnes of solar photovoltaic waste are expected to be produced by 2030 and 1.8 million tonnes by 2050, by which time solar waste could grow to 60 million tonnes globally. Solar waste has recently been included in the category of waste electrical and electronic equipment to restrict the negative influence of continual development. Recent advancements have been focused only on increasing the efficiency of solar photovoltaic panels without considering the impact of waste solar panels on the environment and the issue of appropriate disposal of waste panels. Effective and ecofriendly methods for recycling end-of-life waste are rarely considered. There is a need to critically investigate and manage the disposal and recycling of solar panels waste. This review article addresses handling and recycling of solar waste, which will be present in large quantities after 25 years. We review multiple adopted technologies to recycle solar waste and technological advancement achieved while recycling photovoltaic waste. Further life cycle assessment of recycling technologies is also discussed.

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