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Abu Jahid received a bachelor's and M.Sc. degrees in electrical engineering from the Military Institute of Science and Technology (MIST), Dhaka, Bangladesh. He received a Ph.D. degree with the Department of Electrical and Computer Engineering, University of Ottawa, Canada. From 2010 to 2012, he worked as a BSS Engineer at Huawei Technologies, where he researches on radio network planning and optimization. He joined as a Lecturer with the Department of EEE, Bangladesh University of Business and Technology, Dhaka in 2013 and served as an Assistant Professor from 2016 to 2019. His research interests include green cellular networking, photonic integrated circuit, and microwave photonics.
This work describes an optimum utilization of hybrid photovoltaic (PV)—wind energy for residential buildings on its occurrence with a newly proposed autonomous fuzzy controller (AuFuCo). In this regard, a virtual model of a vertical axis wind turbine (VAWT) and PV system (each rated at 2 kW) are constructed in a MATLAB Simulink environment. An autonomous fuzzy inference system is applied to model primary units of the controller such as load forecasting (LF), grid power selection (GPS) switch, renewable energy management system (REMS), and fuzzy load switch (FLS). The residential load consumption pattern (4 kW of connected load) is allowed to consume energy from the grid and hybrid resources located at the demand side and classified as base, priority, short-term, and schedulable loads. The simulation results identify that the proposed controller manages the demand side management (DSM) techniques for peak load shifting and valley filling effectively with renewable sources. Also, energy costs and savings for the home environment are evaluated using the proposed controller. Further, the energy conservation technique is studied by increasing renewable conversion efficiency (18% to 23% for PV and 35% to 45% for the VAWT model), which reduces the spending of 0.5% in energy cost and a 1.25% reduction in grid demand for 24-time units/day of the simulation study. Additionally, the proposed controller is adapted for computing energy cost (considering the same load pattern) for future demand, and it is exposed that the PV-wind energy cost reduced to 6.9% but 30.6% increase of coal energy cost due to its rise in the Indian energy market by 2030.
MohanaSundaram Anthony; Valsalal Prasad; Raju Kannadasan; Saad Mekhilef; Mohammed Alsharif; Mun-Kyeom Kim; Abu Jahid; Ayman Aly. Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment. Electronics 2021, 10, 1618 .
AMA StyleMohanaSundaram Anthony, Valsalal Prasad, Raju Kannadasan, Saad Mekhilef, Mohammed Alsharif, Mun-Kyeom Kim, Abu Jahid, Ayman Aly. Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment. Electronics. 2021; 10 (14):1618.
Chicago/Turabian StyleMohanaSundaram Anthony; Valsalal Prasad; Raju Kannadasan; Saad Mekhilef; Mohammed Alsharif; Mun-Kyeom Kim; Abu Jahid; Ayman Aly. 2021. "Autonomous Fuzzy Controller Design for the Utilization of Hybrid PV-Wind Energy Resources in Demand Side Management Environment." Electronics 10, no. 14: 1618.
With the augmentation of affordable multimedia wireless gadgets, the ubiquitous availability of the internet access, and the rapid pace of mobile traffic motivate research towards fifth generation (5G) communications to realize energy-efficient cloud radio access networks (C-RAN) with guaranteed quality of experience. Exploiting green energy harvesting for powering the C-RAN substantially alleviates the energy procurement from the utility grid, carbon footprint, and operational expenses. In this paper, we propose a new dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm emphasizing achievable throughput and energy efficiency (EE) by reducing utility grid consumption from a network level perspective. This paper investigates the radio efficiency, EE, and average on-grid energy saving addressing the key challenges of tempo-spatial dynamics of traffic intensity and renewable energy (RE) generation under a wide range of network setup. Endeavoring load balancing technique strives a balance in network utilities such as green energy utilization and user association based on BS coordination technique in a cluster. Provision of cell sleep approach is contemplated for further energy saving by turning off lightly loaded base stations (BSs) during low traffic arrivals. The proposed CoMP based load balancing algorithm proficiently manages resource block allocation to the new users and elevated the energy efficiency over the conventional location and traffic centric mechanisms. Extensive system-level simulations manifest that the suggested framework enables an adjustable trade-off between radio efficiency and EE, and saves 22% on-grid power consumption and increases EE index by 32%. Afterward, an exhaustive comparison of the proposed method with the existing schemes is pledged for further validation highlighting sustainable 5G wireless systems.
Abu Jahid; Mohammed H. Alsharif; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks. IEEE Access 2021, 9, 1 -1.
AMA StyleAbu Jahid, Mohammed H. Alsharif, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly. Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks. IEEE Access. 2021; 9 ():1-1.
Chicago/Turabian StyleAbu Jahid; Mohammed H. Alsharif; Peerapong Uthansakul; Jamel Nebhen; Ayman A. Aly. 2021. "Energy Efficient Throughput Aware Traffic Load Balancing in Green Cellular Networks." IEEE Access 9, no. : 1-1.
Green wireless networking has attracted considerable research attention, especially in academics and industry from economic and ecological perspectives. Promoting wireless infrastructures by exploiting green power sources has the potential to enhance sustainability and address the adverse impact of conventional power sources. A sustainable optimal standalone solar-powered model for green cellular base stations in urban locations of South Korea is proposed in this work to extend 24-hour uninterrupted power supply support to LTE cellular base stations (BSs) and take advantage of integrated storage devices. The optimal system architecture, energy management, and economic analysis are examined using the hybrid optimization model for electric renewable optimization software based on actual prevailing conditions of regions and their technical feasibility. Results showed that the proposed solar photovoltaic system can achieve significant operational expenditure savings of up to 43% and 43.58% in on- and off-grid sites, respectively, and reduce greenhouse gas emissions in the telecommunications sector. Moreover, the results of this study can provide a stronger platform for a sustainable green wireless network paradigm that can ensure energy sustainability compared with conventional technology.
Mohammed H. Alsharif; Raju Kannadasan; Abu Jahid; Mahmoud A. Albreem; Jamel Nebhen; Bong Jun Choi. Long-Term Techno-Economic Analysis of Sustainable and Zero Grid Cellular Base Station. IEEE Access 2021, 9, 54159 -54172.
AMA StyleMohammed H. Alsharif, Raju Kannadasan, Abu Jahid, Mahmoud A. Albreem, Jamel Nebhen, Bong Jun Choi. Long-Term Techno-Economic Analysis of Sustainable and Zero Grid Cellular Base Station. IEEE Access. 2021; 9 (99):54159-54172.
Chicago/Turabian StyleMohammed H. Alsharif; Raju Kannadasan; Abu Jahid; Mahmoud A. Albreem; Jamel Nebhen; Bong Jun Choi. 2021. "Long-Term Techno-Economic Analysis of Sustainable and Zero Grid Cellular Base Station." IEEE Access 9, no. 99: 54159-54172.
With the proliferation of cellular networks, the ubiquitous availability of new-generation multimedia devices, and their wide-ranging data applications, telecom network operators are increasingly deploying the number of cellular base stations (BSs) to deal with unprecedented service demand. The rapid and radical deployment of the cellular network significantly exerts energy consumption and carbon footprints to the atmosphere. The ultimate objective of this work is to develop a sustainable and environmentally-friendly cellular infrastructure through compelling utilization of the locally available renewable energy sources (RES) namely solar photovoltaic (PV), wind turbine (WT), and biomass generator (BG). This article addresses the key challenges of envisioning the hybrid solar PV/WT/BG powered macro BSs in Bangladesh considering the dynamic profile of the RES and traffic intensity in the tempo-spatial domain. The optimal system architecture and technical criteria of the proposed system are critically evaluated with the help of HOMER optimization software for both on-grid and off-grid conditions to downsize the electricity generation cost and waste outflows while ensuring the desired quality of experience (QoE) over 20 years duration. Besides, the green energy-sharing mechanism under the off-grid condition and the grid-tied condition has been critically analyzed for optimal use of green energy. Moreover, the heuristic algorithm of the load balancing technique among collocated BSs has been incorporated for elevating the throughput and energy efficiency (EE) as well. The spectral efficiency (SE), energy efficiency, and outage probability performance of the contemplated wireless network are substantially examined using Matlab based Monte–Carlo simulation under a wide range of network configurations. Simulation results reveal that the proper load balancing technique pledges zero outage probability with expected system performance whereas energy cooperation policy offers an attractive solution for developing green mobile communications employing better utilization of renewable energy under the proposed hybrid solar PV/WT/BG scheme.
Sanwar Hossain; Khondoker Ziaul Islam; Abu Jahid; Khondokar Rahman; Sarwar Ahmed; Mohammed Alsharif. Renewable Energy-Aware Sustainable Cellular Networks with Load Balancing and Energy-Sharing Technique. Sustainability 2020, 12, 9340 .
AMA StyleSanwar Hossain, Khondoker Ziaul Islam, Abu Jahid, Khondokar Rahman, Sarwar Ahmed, Mohammed Alsharif. Renewable Energy-Aware Sustainable Cellular Networks with Load Balancing and Energy-Sharing Technique. Sustainability. 2020; 12 (22):9340.
Chicago/Turabian StyleSanwar Hossain; Khondoker Ziaul Islam; Abu Jahid; Khondokar Rahman; Sarwar Ahmed; Mohammed Alsharif. 2020. "Renewable Energy-Aware Sustainable Cellular Networks with Load Balancing and Energy-Sharing Technique." Sustainability 12, no. 22: 9340.
The enormous growth in the cellular networks and ubiquitous wireless services has incurred momentous energy consumption, greenhouse gas (GHG) emissions and thereby, imposed a great challenge to the development of energy-efficient sustainable cellular networks. With the augmentation of harvesting renewable energy, cellular base stations (BSs) are progressively being powered by renewable energy sources (RES) to reduce the energy crisis, carbon contents, and its dependency on conventional grid supply. Thus, the combined utilization of renewable energy sources with the electrical grid system is proving to be a more realistic option for developing an energy-efficient as well as an eco-sustainable system in the context of green mobile communications. The ultimate objective of this work is to develop a traffic-aware grid-connected solar photovoltaic (PV) optimal power supply system endeavoring the remote radio head (RRH) enabled heterogeneous networks (HetNets) aiming to minimize grid energy consumption and carbon footprint while ensuring long-term energy sustainability and energy efficiency (EE). Moreover, the load balancing technique is implemented among collocated BSs for better resource blocks (RBs) utilization and thereafter, the performance of the system is compared with an existing cell zooming enabled cellular architecture for benchmarking. Besides, the techno-economic feasibility of the envisaged system has been extensively analyzed using HOMER optimization software considering the dynamic nature of solar generation profile and traffic arrival rate. Furthermore, a thorough investigation is conducted with the help of Monte-Carlo simulations to assess the wireless network performance in terms of throughput, spectral efficiency (SE), and energy efficiency as well under a wide range of design scenarios. The numerical outcomes demonstrate that the proposed grid-tied solar PV/battery system can achieve a significant reduction of grid power consumption yielding up to 54.8% and ensure prominent energy sustainability with the effective modeling of renewable energy harvesting.
Sanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Mohammed H. Alsharif; Khondokar Mizanur Rahman; Fayzur Rahman; Farhad Hossain. Towards Energy Efficient Load Balancing for Sustainable Green Wireless Networks Under Optimal Power Supply. IEEE Access 2020, 8, 200635 -200654.
AMA StyleSanwar Hossain, Abu Jahid, Khondoker Ziaul Islam, Mohammed H. Alsharif, Khondokar Mizanur Rahman, Fayzur Rahman, Farhad Hossain. Towards Energy Efficient Load Balancing for Sustainable Green Wireless Networks Under Optimal Power Supply. IEEE Access. 2020; 8 (99):200635-200654.
Chicago/Turabian StyleSanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Mohammed H. Alsharif; Khondokar Mizanur Rahman; Fayzur Rahman; Farhad Hossain. 2020. "Towards Energy Efficient Load Balancing for Sustainable Green Wireless Networks Under Optimal Power Supply." IEEE Access 8, no. 99: 200635-200654.
A hybrid solar photovoltaic (PV)/biomass generator (BG) energy-trading framework between grid supply and base stations (BSs) is proposed in this article to address the power crisis of the utility grid, to enhance energy self-reliance, and to downsize the cost. The optimal size, technical criteria, energy generation, and different types of costs have been evaluated considering the dynamic behavior of solar radiation, traffic arrival intensity, and average biomass energy potential. Additionally, the wireless network performance in terms of total achievable throughput, spectral efficiency (SE), and energy efficiency (EE) are extensively examined using the MATLAB-based Monte-Carlo simulations taking multipath fading, system bandwidth, transmission power, and inter-cell interference (ICI) into consideration. The numerical results demonstrate that the energy-trading facility can achieve net present cost (NPC) and greenhouse gas saving up to 3.20% and 65.8%, respectively. In the end, the performance of the hybrid solar PV/BG system has been thoroughly compared with the standalone solar PV, hybrid PV/wind turbine (WT), and hybrid PV/diesel generator (DG) systems under on-grid and off-grid configurations for benchmarking.
Sanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Mohammed H. Alsharif; Fayzur Rahman. Multi-Objective Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Green Cellular Networks. Sustainability 2020, 12, 3536 .
AMA StyleSanwar Hossain, Abu Jahid, Khondoker Ziaul Islam, Mohammed H. Alsharif, Fayzur Rahman. Multi-Objective Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Green Cellular Networks. Sustainability. 2020; 12 (9):3536.
Chicago/Turabian StyleSanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Mohammed H. Alsharif; Fayzur Rahman. 2020. "Multi-Objective Optimum Design of Hybrid Renewable Energy System for Sustainable Energy Supply to a Green Cellular Networks." Sustainability 12, no. 9: 3536.
Due to the technological revolution and higher user data demand, the telecommunication industry is expanding at an exponential rate. Fulfilling the increasing demand of energy for the rising cellular networks has become a great challenge to the network operators because of the limited reservation of fuel energy sources and the growing concern about global warming. Energy harvesting (EH) from renewable energy sources (RES) has become an overwhelming initiative to minimize energy deficiency and carbon footprints. This paper investigates the feasibility of solar photovoltaic (PV) and biomass resources based hybrid supply systems for powering the off-grid Long Term Evolution (LTE) cellular macrocell base stations (BSs) in Bangladesh focusing the technical, economic and environmental issues. In addition, the green energy sharing technique has been incorporated via a low resistive path for optimal use of RES. The proposed system has enough potential to achieve long term sustainability and reduction of pollution rates by fulfilling the future energy demand of BS. In this work, Hybrid Optimization Model for Electric Renewables (HOMER) simulation-based feasibility analysis is used to assess the optimal system, energy production, total net present cost (NPC), cost of electricity (COE) and greenhouse gas (GHG) emission depending on different system parameters. Furthermore, the performance of the network has been evaluated in terms of throughput and energy efficiency using Matlab-based Monte Carlo simulations. Results demonstrate that the proposed hybrid renewable energy powered BSs would be a reliable and longer-lasting green solution for the telecom sector while maintaining the quality of service (QoS). Finally, an extensive comparison with other systems has also been done to justify network validity.
Sanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Fayzur Rahman. Solar PV and Biomass Resources-Based Sustainable Energy Supply for Off-Grid Cellular Base Stations. IEEE Access 2020, 8, 53817 -53840.
AMA StyleSanwar Hossain, Abu Jahid, Khondoker Ziaul Islam, Fayzur Rahman. Solar PV and Biomass Resources-Based Sustainable Energy Supply for Off-Grid Cellular Base Stations. IEEE Access. 2020; 8 (99):53817-53840.
Chicago/Turabian StyleSanwar Hossain; Abu Jahid; Khondoker Ziaul Islam; Fayzur Rahman. 2020. "Solar PV and Biomass Resources-Based Sustainable Energy Supply for Off-Grid Cellular Base Stations." IEEE Access 8, no. 99: 53817-53840.
Abu Jahid; Sanwar Hossain; Kamrul Hasan Monju; Fayzur Rahman; Farhad Hossain. Techno-Economic and Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations. IEEE Access 2020, 8, 43776 -43795.
AMA StyleAbu Jahid, Sanwar Hossain, Kamrul Hasan Monju, Fayzur Rahman, Farhad Hossain. Techno-Economic and Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations. IEEE Access. 2020; 8 ():43776-43795.
Chicago/Turabian StyleAbu Jahid; Sanwar Hossain; Kamrul Hasan Monju; Fayzur Rahman; Farhad Hossain. 2020. "Techno-Economic and Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations." IEEE Access 8, no. : 43776-43795.
With the unprecedented augmentation of mobile communications and the advancement of new technologies, energy efficiency (EE) has developed a severe apprehension of maintaining the profitability of telecom operators by means of reducing the operational expenditure with minimum atmospheric deterioration as well. Base stations (BSs) are the prime energy consumer in the telecom sector. Therefore, reducing the energy consumption of BSs in the cellular networks has recently become a great concern by the telecom operators and researchers. As a consequence, attempts have been taken behind reducing BS energy consumption and to find expedient ways for better EE. In this paper, we propose renewable energy powered cloud radio access network (C-RAN) architecture for achieving long term sustainable green cellular networks. Several performance metrics under the telecommunication system namely equipment level and network-level are investigated in the design framework aiming to enhance overall EE. Moreover, MATLAB based Monte-Carlo simulations have been accomplished for checking out EE performance of the introduced network fluctuating system criterions for example transmission bandwidth, the number of the transceiver, solar module capacity, etc. in the context of realistic traffic intensity. Analytical outcomes validate the performance of the recommended system over the conventional one.
Abu Jahid; Khondoker Ziaul Islam; Sanwar Hossain; Kamrul Hasan Monju; Fayzur Rahman. Performance Evaluation of Cloud Radio Access Network with Hybrid Power Supplies. 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) 2019, 1 -5.
AMA StyleAbu Jahid, Khondoker Ziaul Islam, Sanwar Hossain, Kamrul Hasan Monju, Fayzur Rahman. Performance Evaluation of Cloud Radio Access Network with Hybrid Power Supplies. 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI). 2019; ():1-5.
Chicago/Turabian StyleAbu Jahid; Khondoker Ziaul Islam; Sanwar Hossain; Kamrul Hasan Monju; Fayzur Rahman. 2019. "Performance Evaluation of Cloud Radio Access Network with Hybrid Power Supplies." 2019 International Conference on Sustainable Technologies for Industry 4.0 (STI) , no. : 1-5.
Remote monitoring and controlling of the sub-station equipment is an important issue for the power/energy management department which is normally done manually, or using an expensive PLC and SCADA system. With the emergence of the internet and computational era, a smart monitoring and reliable controlling system over the entire sub-station equipment is highly desirable that can be achieved by introducing the Internet of Things (IoT) technology. IoT is the network of physical devices embedded with electronics, software, sensors, actuators and network connectivity which have the ability to identify, collect and exchange the data. Each thing is uniquely identifiable through its embedded computing system and able to interoperate within the existing internet infrastructure. This paper proposed an IoT based network strategy for monitoring and controlling the sub-station equipment so that managing time and resources can take place as efficiently as possible. The IoT based system allows objects to be sensed or controlled remotely across existing network infrastructure, creating opportunities for more direct integration of the physical world into computer-based systems and resulting in improved efficiency, accuracy and economic benefit with the added merits of minimum human intervention. Moreover, a prototype system has been implemented and tested for measuring the effectiveness of the proposed model.
Sanwar Hossain; Mostafizur Rahman; Tuhin Sarker; Ershadul Haque; Abu Jahid. A smart IoT based system for monitoring and controlling the sub-station equipment. Internet of Things 2019, 7, 100085 .
AMA StyleSanwar Hossain, Mostafizur Rahman, Tuhin Sarker, Ershadul Haque, Abu Jahid. A smart IoT based system for monitoring and controlling the sub-station equipment. Internet of Things. 2019; 7 ():100085.
Chicago/Turabian StyleSanwar Hossain; Mostafizur Rahman; Tuhin Sarker; Ershadul Haque; Abu Jahid. 2019. "A smart IoT based system for monitoring and controlling the sub-station equipment." Internet of Things 7, no. : 100085.
In this paper, we focus on an essential energy management approach for enhancing energy efficiency (EE) as well as reducing fuel consumption of off-grid cellular networks whose base stations (BSs) are supplied with hybrid power sources including solar PV array and diesel generator (DG). To take the full advantage of PV technology, this paper examines the reliability performance and carbon footprint implications in addition to EE. This paper also investigates the benefits of unevenly harvested green energy sharing mechanism under zero fuel consumption scheme via physically installed resistive power lines taking into account of dynamic nature of renewable energy (RE) generation and traffic arrival density. Furthermore, joint transmission coordinated multipoint (JT-CoMP) user association technique is integrated for achieving higher throughput and EE performance providing the best SINR quality to a connected user equipment (UE). A comprehensive Monte-Carlo based simulation study has been carried out for evaluating EE, EE index (EEI) and energy saving performances in downlink LTE-Advanced networks under a wide range of network settings. Results reveal that the proposed system can attain up to 26% energy savings via cooperation mechanism and 48.7% more energy efficient in terms of EEI under peak load over the conventional hybrid paradigm.
Abu Jahid; Shamimul Islam; Sanwar Hossain; Emran Hossain; Kamrul Hasan Monju; Farhad Hossain. Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks With Joint Coordination. IEEE Access 2019, 7, 75782 -75797.
AMA StyleAbu Jahid, Shamimul Islam, Sanwar Hossain, Emran Hossain, Kamrul Hasan Monju, Farhad Hossain. Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks With Joint Coordination. IEEE Access. 2019; 7 (99):75782-75797.
Chicago/Turabian StyleAbu Jahid; Shamimul Islam; Sanwar Hossain; Emran Hossain; Kamrul Hasan Monju; Farhad Hossain. 2019. "Toward Energy Efficiency Aware Renewable Energy Management in Green Cellular Networks With Joint Coordination." IEEE Access 7, no. 99: 75782-75797.
Energy efficiency (EE) is a key concern in diverse domains of next-generation mobile networks due to dramatic surge of energy consumption. Envisioning radio access network (RAN) with green energy offers a lower network operating cost together with maintaining eco-sustainability. This paper studies green energy driven user association (UA) policy for efficient utilization of green energy in cloud RAN (C-RAN) architecture. Under the proposed cellular networks, all the entities are powered by a combination of utility grid supply and renewable energy source with storage devices. In addition, different user association (UA) policies such as SINR based, distance based (i.e. conventional), green energy availability and traffic aware based are integrated with the proposed framework. Simulations are used to compare our algorithms in terms of throughput, EE and EE gain performance varying different system parameters. Numerical results validate that SINR based UA algorithm achieves superior EE performance compared to other counterparts.
Mst. Rubina Aktar; Abu Jahid; Al- Hasan; Farhad Hossin. User Association for Efficient Utilization of Green Energy in Cloud Radio Access Network. 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) 2019, 1 -5.
AMA StyleMst. Rubina Aktar, Abu Jahid, Al- Hasan, Farhad Hossin. User Association for Efficient Utilization of Green Energy in Cloud Radio Access Network. 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE). 2019; ():1-5.
Chicago/Turabian StyleMst. Rubina Aktar; Abu Jahid; Al- Hasan; Farhad Hossin. 2019. "User Association for Efficient Utilization of Green Energy in Cloud Radio Access Network." 2019 International Conference on Electrical, Computer and Communication Engineering (ECCE) , no. : 1-5.
The skyrocketing research interest in the area of green data center (GDC) under the cyber-physical system (CPS) has been emerging over the last few decades. The over expanding need of information communication technology (ICT) and gigantic internet data service demand has led to an increase in the number of data center results a massive electrical energy expenditure for GDC. Therefore, reduction of energy consumption as well as the minimum cost of electricity (COE) with the desired quality of service (QoS) has been identified as an exciting research topic in the ICT sector. This paper proposes an energy sustainable hybrid power supply solution for the GDC endeavoring to curtail grid electricity usage and fuel consumption with the least possible net present cost (NPC) over the project duration of 10 years. The proposed framework is fed with both renewable energy (RE) sources such as wind turbine (WT) and solar photovoltaic (PV) array and non-renewable energy sources such as diesel generator (DG) in conjunction with adequate battery units. A hybrid optimization model for electric renewables (HOMER) software adopted to carry out an extensive simulation concentrating in optimum system design architecture and corresponding energy evaluation, cost assessment and carbon footprint analysis under a wide range of CPS scenarios.
Shamimul Islam; Abu Jahid; A.S.M Tanvir Islam; Sharif; Anwar Sadath; Kamrul Hasan Monju. Renewable Energy Aware Cost Assessment for Green Data Center with Hybrid Energy Sources. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) 2019, 120 -125.
AMA StyleShamimul Islam, Abu Jahid, A.S.M Tanvir Islam, Sharif, Anwar Sadath, Kamrul Hasan Monju. Renewable Energy Aware Cost Assessment for Green Data Center with Hybrid Energy Sources. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST). 2019; ():120-125.
Chicago/Turabian StyleShamimul Islam; Abu Jahid; A.S.M Tanvir Islam; Sharif; Anwar Sadath; Kamrul Hasan Monju. 2019. "Renewable Energy Aware Cost Assessment for Green Data Center with Hybrid Energy Sources." 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) , no. : 120-125.
An analytical evaluation of Bit Error Rate (BER) performance considering the effect of cross-polarization under 4×4 polarization diversity MIMO (Multiple Input Multiple Output) from satellite to ground is modeled. The BER equation is derived using Rician k-factors and SINR (Signal to Interference plus Noise Ratio). A comprehensive simulation is performed for evaluating BER performance, Receiver sensitivity and power penalty in four areas namely Open Area (OA), Sub-urban Area(SA), Urban Area(UA), Aeronautical/Marine Area(A/M A). Then, BER is evaluated in four areas and simulation results reveal that all the four schemes under the proposed framework suffers power penalty. To the end, it is found that SA and UA schemes experiences higher power penalty in 4×4 MIMO over 2×2 MIMO configuration.
Sharif; Abu Jahid; Shamimul Islam; Emran Hossain; A.S.M Tanvir Islam. Analytical Evaluation of BER Considering Effect of Cross-Polarization in a Polarization Diversity 4×4 MIMO Satellite to Ground Link. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) 2019, 116 -119.
AMA StyleSharif, Abu Jahid, Shamimul Islam, Emran Hossain, A.S.M Tanvir Islam. Analytical Evaluation of BER Considering Effect of Cross-Polarization in a Polarization Diversity 4×4 MIMO Satellite to Ground Link. 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST). 2019; ():116-119.
Chicago/Turabian StyleSharif; Abu Jahid; Shamimul Islam; Emran Hossain; A.S.M Tanvir Islam. 2019. "Analytical Evaluation of BER Considering Effect of Cross-Polarization in a Polarization Diversity 4×4 MIMO Satellite to Ground Link." 2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST) , no. : 116-119.
Abu Jahid; Abdullah Bin Shams; Farhad Hossain. Dynamic point selection CoMP enabled hybrid powered green cellular networks. Computers & Electrical Engineering 2018, 72, 1006 -1020.
AMA StyleAbu Jahid, Abdullah Bin Shams, Farhad Hossain. Dynamic point selection CoMP enabled hybrid powered green cellular networks. Computers & Electrical Engineering. 2018; 72 ():1006-1020.
Chicago/Turabian StyleAbu Jahid; Abdullah Bin Shams; Farhad Hossain. 2018. "Dynamic point selection CoMP enabled hybrid powered green cellular networks." Computers & Electrical Engineering 72, no. : 1006-1020.
Increasing deployment of cellular networks across the globe is pushing the energy consumption in cellular networks at an exceptional rate. The integration of renewable energy (RE) harvesting technology into future mobile networks has the potential to positively cope with environmental contamination and ensure self-energy sustainability as a means to decrease fossil fuel consumption. Diesel generator (DG) in conjunction with on-site RE harvester has emerged as an economic and extent efficient option where commercial grid supply is not viable. This paper is focused on the cost aware energy management framework addressing to least net present cost (NPC) for the envisioned hybrid powered green cellular base stations (BSs) considering tempo-spatial traffic dynamics. In such wireless networks, solar photovoltaic modules are considered as a primary energy source, while the DG and energy storage device are kept as the standby supply in case of inadequate solar energy to ensure zero outage. A comprehensive simulation-based investigation is carried out in the context of downlink Long-Term Evolution (LTE) cellular networks for evaluating cost-efficiency and reliability performance under a wide range of network settings. Particularly, this paper examines the energy yield, greenhouse gas emissions, and cost analysis based on the optimal architecture of Remote Radio Head-enabled LTE BS. Moreover, wireless network performance in terms of throughput, energy efficiency gain, and radio efficiency is thoroughly investigated using Monte Carlo simulations. Numerical results demonstrate a substantial reduction of carbon footprints with minimum NPC while satisfying the quality of service requirements.
Abu Jahid; Kamrul Hasan Monju; Sanwar Hossain; Farhad Hossain. Hybrid power supply solutions for off-grid green wireless networks. International Journal of Green Energy 2018, 16, 12 -33.
AMA StyleAbu Jahid, Kamrul Hasan Monju, Sanwar Hossain, Farhad Hossain. Hybrid power supply solutions for off-grid green wireless networks. International Journal of Green Energy. 2018; 16 (1):12-33.
Chicago/Turabian StyleAbu Jahid; Kamrul Hasan Monju; Sanwar Hossain; Farhad Hossain. 2018. "Hybrid power supply solutions for off-grid green wireless networks." International Journal of Green Energy 16, no. 1: 12-33.
With the growing awareness of environmental implications and fossil fuel crisis, renewable energy harvesting (EH) technology has shown remarkable aptitude in green cellular networking and is expected to be pervasively utilized by telecom operators aiming to reduce carbon footprints. To take the full advantage of renewable EH technology, we proposed an energy sustainable paradigm to address energy self-reliance, eco-sustainability, and minimize the networks energy cost while meeting the quality of service (QoS) requirements. This paper investigates the techno-economic feasibility of integrated renewable energy (IRE) powered off-grid cellular base stations (BSs) taking into account stochastic behavior of RE generation and traffic intensity for remote areas in Bangladesh. Thereafter, a hybrid energy cooperation framework is formulated to optimally determine the quantities of RE exchanged among BSs via physically installed power cables. Under the proposed framework, each BS is equipped with on-site solar module/wind turbine coupled with an independent storage device whereas collocated BSs are inter-connected through resistive lines. Extensive simulation is carried out for evaluating optimal system architecture, energy yield analysis, and cost assessment in the context of downlink Long Term Evolution (LTE) cellular networks varying different system parameters. Results demonstrate the effectiveness of the proposed system performance pertaining to net present cost (NPC) and energy savings. Finally, a comprehensive comparison with other schemes is provided for further validation.
Abu Jahid; Kamrul Hasan Monju; Emran Hossain; Farhad Hossain. Renewable Energy Assisted Cost Aware Sustainable Off-Grid Base Stations With Energy Cooperation. IEEE Access 2018, 6, 60900 -60920.
AMA StyleAbu Jahid, Kamrul Hasan Monju, Emran Hossain, Farhad Hossain. Renewable Energy Assisted Cost Aware Sustainable Off-Grid Base Stations With Energy Cooperation. IEEE Access. 2018; 6 (99):60900-60920.
Chicago/Turabian StyleAbu Jahid; Kamrul Hasan Monju; Emran Hossain; Farhad Hossain. 2018. "Renewable Energy Assisted Cost Aware Sustainable Off-Grid Base Stations With Energy Cooperation." IEEE Access 6, no. 99: 60900-60920.
In recent years, the integration of renewable energy source with data centers has emerged as a promising aptitude focusing on economic and environmental perspectives. This paper studies an efficient energy sustainable framework aiming to maximize the utilization of green energy and curbing down the operating cost associated in provisioning computing services across a group of data centers. Under the proposed framework, the green data centers (GDC) are envisioned to be jointly powered by solar photovoltaic (SPV) modules with commercial grid supply. Additionally, a sufficient energy storage system (ESS) is installed for enhancing system reliability under 10 years project duration. The validation of our approach is comprehensively investigated in terms of optimal architecture, energy yield analysis, cost assessment etc. varying different system parameters using the HOMER optimization software. Based on this architectural framework, some research challenges are discussed. Simulation results demonstrate that a green data center has an immense potential as it offers significant energy efficient operations via reducing on-grid consumption while maintaining the quality of service.
Shamimul Islam; Abu Jahid; A.S.M Tanvir Islam; Sharif; Anwar Sadath; Kamrul Hasan Monju. Energy Sustainable Provisioning for Green Data Centers. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) 2018, 378 -383.
AMA StyleShamimul Islam, Abu Jahid, A.S.M Tanvir Islam, Sharif, Anwar Sadath, Kamrul Hasan Monju. Energy Sustainable Provisioning for Green Data Centers. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET). 2018; ():378-383.
Chicago/Turabian StyleShamimul Islam; Abu Jahid; A.S.M Tanvir Islam; Sharif; Anwar Sadath; Kamrul Hasan Monju. 2018. "Energy Sustainable Provisioning for Green Data Centers." 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) , no. : 378-383.
The aggregate power supply of solar photovoltaic (PV) and diesel generator (DG) is an attractive solution for the next generation off-grid cellular network where the electricity is not available. In this paper, we emphasized on energy efficiency (EE) for cloud radio access network (C-RAN) architecture in the context of 5G cellular networks with hybrid supply. The intermittent nature of PV generation is counter balanced by the DG supply which has emerged as a promising option for energy sustainability. The prime aim is to maximum utilization of green energy harvested from installed PV panels for greener the envisioned network. In addition, the environmental effect such as carbon footprint has been comprehensively analyzed by varying solar capacity. An extensive simulation has been carried out for evaluating EE performance of the proposed network varying different system parameters such as transmission power, solar module capacity in consideration of the real traffic demand. Numerical results justify the effectiveness of the proposed scheme.
Mst. Rubina Aktar; Abu Jahid; Farhad Hossain; Al- Hasan. Energy Sustainable Traffic Aware Hybrid Powered Off-Grid Cloud Radio Access Network. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) 2018, 121 -125.
AMA StyleMst. Rubina Aktar, Abu Jahid, Farhad Hossain, Al- Hasan. Energy Sustainable Traffic Aware Hybrid Powered Off-Grid Cloud Radio Access Network. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET). 2018; ():121-125.
Chicago/Turabian StyleMst. Rubina Aktar; Abu Jahid; Farhad Hossain; Al- Hasan. 2018. "Energy Sustainable Traffic Aware Hybrid Powered Off-Grid Cloud Radio Access Network." 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) , no. : 121-125.
Recent emphasis on efficient energy utilization in green mobile communication has become a paramount concern of reducing carbon footprints to make the network greener. Energy harvesting from ambient energy sources has the potential to reduce the dependency on grid power supply or diesel generators (DG), providing attractive benefits in diverse domains. This paper's aim is to minimize the on-grid power consumption with the integration of green energy generators such as solar PV modules while satisfying system constraints. We decompose the problem into two categories: grid energy minimization problem and the renewable energy system sizing problem provisioning minimum net present cost. Extensive research has been carried out to address energy yield, cost assessment, and greenhouse gas emissions aspects in the context of LTE heterogeneous cellular networks (HCN)in consideration of the intermittent nature of solar energy generation and temporal dynamics of traffic load demand. Numerical results illustrate a substantial improvement of on-grid energy savings and subsequent carbon footprints of the proposed network model compared to the conventional scheme.
Shamimul Islam; Abu Jahid; Anwar Sadath; Kamrul Hasan Monju; Syed Rafiee Abied; A.S.M Tanvir Islam. Cost Aware Grid Energy Minimization in Heterogeneous Green Wireless Networks. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) 2018, 103 -108.
AMA StyleShamimul Islam, Abu Jahid, Anwar Sadath, Kamrul Hasan Monju, Syed Rafiee Abied, A.S.M Tanvir Islam. Cost Aware Grid Energy Minimization in Heterogeneous Green Wireless Networks. 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET). 2018; ():103-108.
Chicago/Turabian StyleShamimul Islam; Abu Jahid; Anwar Sadath; Kamrul Hasan Monju; Syed Rafiee Abied; A.S.M Tanvir Islam. 2018. "Cost Aware Grid Energy Minimization in Heterogeneous Green Wireless Networks." 2018 International Conference on Innovations in Science, Engineering and Technology (ICISET) , no. : 103-108.