INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue V, May 2024
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Advancing Green Communications: The Role of Radio Frequency
Engineering in Sustainable Infrastructure Design
Damilare Samson Olaleye., Abiodun Charles Oloye., Akinkunle Olanrewaju Akinloye,
Oladayo Tosin
Akinwande
*
Veritas
University, Nigeria
DOI : https://doi.org/10.51583/IJLTEMAS.2024.130511
Received: 15 April 2024; Revised: 09 May 2024 Accepted: 17 May 2024; Published: 11 June 2024
Corresponding author
*
Abstract: A thorough examination of the role of radio frequency (RF) engineering is crucial for promoting sustainability in
communications infrastructure. This review explores the complex interplay between environmental concerns in communication
systems and RF engineering. It examines RF engineering approaches and strategies that support the design, implementation, and
preservation of environmentally friendly infrastructure, including the integration of renewable energy sources into RF systems,
and the prospects and challenges associated with employing RF technologies for fostering sustainable actions in the
communications industry. The major findings revealed the importance of RF engineering as it relates to reducing carbon
footprints, lowering energy consumption, and enabling environmental sustainability in communication networks. RF engineering
is an essential driver of sustainability in the communications industry, considering that it supports the integration of renewable
energy sources, optimization of power usage, and improvement of spectrum efficiency. Therefore, the adoption of eco-friendly
practices and utilization of RF technological innovations can potentially support a more sustainable and greener digital
ecosystem.
Keywords: radio frequency technology, eco-friendly communications, sustainable infrastructure, energy efficiency, system
optimization
I. Introduction
The emergence of linked devices and the rising demand for communication services worldwide have made the management of
the electromagnetic spectrum extremely difficult across the communication sectors. Growth trends in connectivity and
digitalization are the main causes of the increase in frequency demand, and these sectors require sustainable infrastructure design
and effective spectrum utilization (Wu et al., 2018; Onidare et al., 2023).
In advanced metering infrastructures, the environmental effects of power lines and conventional communication technologies
generate a considerable amount of carbon emissions and environmental damage since they mostly rely on energy sources derived
from fossil fuels and poor infrastructure (Shen et al., 2023). These environmental issues remain detrimental to the exponential rise
in data traffic prompted by recent advances in technologies including the Internet of Things and therefore, highlight the
significance of sustainable practices in communication systems (Ons Ben Rhouma et al., 2023).
According to the Global Connectivity Report (2022) by the International Telecommunication Union, the number of global
cellular subscriptions exceeded 9 billion in 2022. Future predictions by the United Nations (UN, 2017) revealed that the global
population will be about 9.8 billion by 2050. Therefore, an increase in global cellular subscriptions is expected in the coming
years. Within the ecosystem of telecommunications, emissions occur over the whole network product lifespan, and the UN panel
on climate change is targeted to limit the increase in global temperature to 1.5
0
C and to maintain it well below 2
0
C relative to
preindustrial levels (IPCC, 2018). Ensuring emissions decrease dramatically by 2030 and are eradicated by 2050.
The universal surge in connectivity reflects the tremendous pressure on the spectrum management process as well as an
unprecedented level of demand on the available frequency bands, which is due to the expansion of connected devices and
applications. Furthermore, this necessitates environmental conversation, natural usage, and green urban design, among others for
a productive economy at both local and global levels (Yang et al., 2021).
Similarly, the primary drivers of this increase in frequency demand are the development trends in point-to-point, broadcasting,
and mobile communications, all of which require effective spectrum utilization (Sil & Chatterjee, 2023). Certain regions
concentrate on fixed lines for point-to-point communications in locations with inadequate ground-based infrastructure or difficult
terrain. However, developed economies are experiencing an increase in mobile communications, both terrestrial and satellite, as
well as in sound and television broadcasts (Wu et al., 2018; Wang et al., 2023). In the same way, for technologies to thrive and
environmental sustainability to be ensured, green communications must be improved and environmentally friendly infrastructure
design must be encouraged.
Radiofrequency (RF) engineering is a major driver in improving green communications and encouraging environmentally
friendly infrastructure design (Yaacoub & Alouini, 2020). Green communications, referred to as eco-friendly or sustainable
communications, is the process of designing, implementing, and operating communication systems with minimal negative
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
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influence on the environment (Haja Moinudeen et al., 2020). These systems utilize less energy, produce fewer carbon footprints,
and support environmental sustainability. In addition, it comprises a broad range of strategies and technologies including wireless
networks, satellite communication, and broadcasting, targeted at decreasing the consumption of energy, optimizing resource
utilization, and preventing carbon emissions throughout the lifecycle of communication networks (Safitra et al., 2023). However,
the detrimental impacts of power lines and sophisticated metering infrastructures emphasize how crucial sustainable practices are
in communication networks.
Generally, communication infrastructure may be rendered more sustainable by utilizing RF engineering concepts such as power
efficiency, spectrum management, and interference reduction (Kumar et al., 2023). To address this issue and maintain the smooth
operation of wireless communication systems in the context of increasing frequency demands, creative solutions to spectrum
allocation, utilization, and distribution are essential. Furthermore, to control the rising frequency of demand and reduce the
negative environmental effects of communication technology, environmentally friendly infrastructure design is essential.
Therefore, to improve green communications, this review will examine the intricate interactions that exist between RF
engineering and environmental issues in communication systems.
II. Overview of Green Communication Technologies
The evolution and progress of the modern world have contributed to an extensive amount of attention to green technologies.
Green technologies are effective approaches for lessening the environmental effect of information and communication technology
infrastructure. However, as communication technology advances, industries and researchers are concentrating on making this
communication more environmentally friendly (Agboola et al., 2023). According to Péter Sasvári (2010), the majority of tasks in
the actual world are managed by computers and other machinery, that allow the development of information and communication
technology.
Key components of green communication technologies include energy-efficient network equipment, renewable energy
integration, smart power management systems, and eco-friendly network design methodologies (Debbarma & Chandrasekaran,
2016; Safitra et al., 2024). Green communication technologies are innovations aimed at reducing the environmental footprint of
communication networks while maintaining or improving performance and reliability. These technologies focus on optimizing
energy efficiency, minimizing carbon emissions, and promoting sustainable practices throughout the lifecycle of communication
systems.
Fundamentally, green communications are targeted at reducing the negative effects that communication networks have on the
environment by implementing eco-friendly procedures. Cornelius & Atang, (2023) revealed that reducing energy use, cutting
carbon emissions, preserving natural resources, and lessening environmental contaminations are the main goals of green
communications. Therefore, organizations seek to strike a balance between environmental stewardship and technical innovation
by putting green communication ideas into practice, which will ensure the long-term sustainability of communication
infrastructure.
a. Barriers and Considerable Factors in Communication Network Sustainability
The study by Kumar et al., (2023) highlighted that communication network sustainability is challenging and complex. The study
further revealed that energy consumption, carbon footprint, security, scalability, and network complexity are the major problems
encountered across the communication sector.
One of the primary concerns as wireless communication develops is the potential increase in the energy efficiency of networks as
they expand to accommodate massive numbers of devices and greater data rates. Consequently, research must focus on
developing energy-efficient technologies that can continuously improve the network so as to overcome this barrier (Ameur et al.,
2017). Adaptive modulation, intelligent sleep modes, dynamic power allocation, and other strategies can help optimize energy use
based on device requirements and network demand. In this regard, a network architecture that incorporates renewable energy
sources like wind and solar might support sustainable scalability.
Particularly, one of the challenges of green communication systems is network slicing, which enables the coexistence of several
virtual networks on a single physical infrastructure. Kumar et al., (2023) highlighted that the problem is in dynamically
distributing resources while reducing energy usage and carbon emissions among various slices. However, AI-driven algorithm
investigations that strategically distribute resources across several slices according to current demand and energy-saving
standards are a potentially sustainable approach.
Effective communication infrastructure, radio networks, and energy conservation depend on optimizing spectrum utilization and
this poses a challenge in the area of spectrum management (Nandakumar et al., 2019). Consequently, dynamic spectrum
management strategies like cognitive radio and spectrum sharing can dynamically distribute spectrum based on demand (Song et
al., 2012). In this regard, cognitive radio systems allow devices to choose and use the available spectrum intelligently, which
lowers interference and energy usage. Thus, leading to a more sustainable use of spectrum.
Furthermore, Kumar et al., (2023) stated that to fully evaluate the environmental impact of communications technology, it is
necessary to take into account the lifecycle of infrastructure components, from the extraction of raw materials through production,
utilization, and disposal. This is vital to effectively manage the challenges associated with lifecycle carbon emissions. However,
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to estimate the carbon footprint and to reduce environmental effects, the development of environmentally friendly options,
effective recycling procedures, and conscientious disposal techniques is vital.
b. Benefits of Green Communication Strategies
Green communication technologies offer several advantages, including economic savings, through the utilization of less energy,
and environmental benefits encompassing waste reduction by encouraging environmental sustainability and lowering carbon
footprint. The purpose of the emerging field of green communications is to create and apply communication technologies that are
economical, energy-efficient, and environmentally friendly (Kulkarni et al., 2020). Thus, achieving sustainable development
goals and lowering the carbon footprint of communication networks depend on green communications. Previous research has
stated that the main goals of green communications are focused on a reduction in energy consumption, and carbon emissions, and
the enhancement of environmental sustainability.
i. Reduce Energy Consumption
According to Adimoolam et al., (2020), effective streamlining of hardware and software, putting in place energy-efficient
protocols, and utilizing power-saving measures enable green communication technologies to reduce the energy consumption of
communication networks. Energy efficiency is a critical component of mobile sustainability as it affects the financial and
environmental elements of cellular networks (Jahid et al., 2020). This increasing number of stations makes up a high percentage
of the total energy consumed, resulting in higher electricity costs and an increase in operational expenditure. Optimizing base
station energy usage through effective hardware design and power management strategies becomes crucial to boosting energy
efficiency. The study further revealed that it is imperative to consider the energy-saving features that can be implemented, such as
sleep modes, dynamic power scaling, and improved power amplifiers together with renewable energy sources and energy-
efficient practices that are promoted in network infrastructure (Wu et al., 2015; Israr et al., 2020).
ii. Minimize Carbon Emissions
Green communication techniques that minimize energy use and align with clean and renewable energy sources tend to lessen the
carbon footprint of communication networks to mitigate climate change and environmental damage. This is done by cutting
energy use and switching to renewable energy sources (Despins et al., 2011).
The carbon footprint of communications infrastructure can be reduced by employing approaches that minimize energy use and
align with clean and renewable energy sources (Hu et al., 2020). In addition, they support longer device lifespans, reduce
electronic waste, and support the Sustainable Development Goals (SDGs) of the United Nations, especially those that deal with
clean energy, climate action, and responsible consumption. Through this, new power management techniques create a more
responsible and environmentally sustainable path for the communication ecosystem while simultaneously actively enhancing
efficiency.
iii. Enhance Environmental Sustainability
Integrating eco-friendly practices and technology into the design, deployment, and operation of communication infrastructure is
the objective of green communications, which aims to promote environmental sustainability (Safitra et al., 2024; Almalki et al.,
2021). Similarly, it involves the integration and utilization of eco-friendly components for the design and production of
connections and infrastructure needed to enable eco-sustainability. An increasing number of businesses, including telecoms, are
realizing how critical it is to adopt sustainable practices in light of the worldwide concern over the effects of technology on the
environment and the pressing need to address climate change. Considering the use of recycled or recyclable materials, such as
sustainable plastics or metals, to minimize waste generation and promote a circular economy, can significantly reduce the
environmental footprint of networks and connectivity, as they will require the deployment of a large number of base stations,
antennas, and other network infrastructure components (Kumar et al., 2023). Energy consumption during operation can be
decreased by using environmentally friendly materials in the design and manufacturing of network components, thereby
achieving total energy efficiency targets, as well as waste reduction, optimal energy use, and greener production of components.
The characteristics of eco-friendly components are listed in Table 1.
iv. Promote Resource Conservation
Throughout the lifecycle of communication systems, green communications emphasize the economical use of resources,
including spectrum, bandwidth, and materials, to reduce waste and increase sustainability (Mousavi et al., 2023).
Table 1. Some characteristics of eco-friendly components
Components
Eco-friendly materials
Advantages
Examples
Base stations
Sustainable metals
Minimizes resource depletion
Antenna supports made from
sustainably sourced metals
Antennas
Materials sourced
responsibly
Supports sustainable material
extraction
Antenna reflectors made from
responsibly sourced materials
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Network
Infrastructure
Sustainable insulation
materials with low-
emission
Reduces carbon footprint and
minimizes environmental
impact during production and
disposal
Cables with low-emission
materials and insulation made
from sustainable materials, for
reduced environmental impact
Production
processes
Energy optimization
and waste reduction
measures for cleaner
production techniques
Reduces energy consumption
during production, minimizes
waste generation and landfill
usage, and minimizes
environmental pollutants
Use of energy-efficient
equipment and processes and
Implementation of lean
manufacturing principles
End-user
devices
Energy-efficient
components
Reduces power consumption
and carbon emissions
Energy-efficient processors and
display panels
III. Radio Frequency (RF) Engineering in Green Communications
Green communications, which seek to minimize the carbon footprint of communication networks and reduce energy usage, are
made possible in large part by RF engineering (Cornelius & Atang Bulus Azi, 2023). RF engineering is the design, development,
and management of RF systems, such as radar, wireless communication networks, and RF identification systems (RFID).
According to Kulkarni et al., (2020), RF engineering plays a critical role in improving green communications by optimizing the
design, implementation, and operation of efficient communication systems.
The role of RF engineering is to enhance the effectiveness, dependability, and ecological sustainability of RF communication
networks by the use of various methods, strategies, and technologies. In light of this, RF engineering creates an environmentally
friendly communication infrastructure that satisfies the rising demand for connectivity while reducing its negative effects on the
environment. This includes spectrum management, antenna design, power optimization, and the integration of renewable energy
sources (Sidhu et al., 2019). Multiple bands of frequencies can be assigned for communication within each frequency range.
Table 2 presents a summary of the properties and uses of radio frequency.
Table 2. Classifications and features of RF bands (Ugweje, 2004)
Frequency
band
Frequency
range
Propagation
characteristics
Use
Very low
frequency
(VLF)
< 30 kHz
Day and nighttime low
attenuation and high
atmospheric noise level
High
Home control systems,
powerlines, baseband
signals, navigation, and
underwater
communication
Low
frequency
(LF)
30 300 kHz
slightly less dependable
than VLF; during the
day, absorption
Radio beacons, marine
communication, and long-
range navigation
Medium
frequency
(MF)
0.3 - 3 MHz
Noise level in the
atmosphere: low at
night, high during the
day
Direction finding, AM
transmission, and
maritime radio
High
frequency
(HF)
3.0 - 30 MHz
radiation of
omnidirectional energy,
the quality of which
varies according to the
day, season, frequency,
and solar activity
Global transmission,
military correspondence,
and long-range aircraft
and vessel communication
Very high
frequency
(VHF)
30 - 300 MHz
Cosmic noise, direct and
ground waves, and
antenna design are
important.
Low
Navigational assistance,
VHF TV, FM broadcast,
two-way radio, and AM
aircraft communication
Ultra-high
frequency
(UHF)
0.3 - 3 GHz
Line-of-sight (LOS);
further distances are
covered via repeaters;
cosmic sounds
Personal communications
services, microwave links,
cellular phones, UHF TV,
and radar
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Super high
frequency
(SHF)
3.0 - 30 GHz
LOS; atmospheric
attenuation from water
vapour, oxygen, and
rain (>10 GHz)
Wireless local loop,
terrestrial microwave,
satellite, and radar
communication
Extremely
high
frequency
(EHF)
30 300 GHz
LOS, millimetre wave,
atmospheric attenuation
from water vapour, rain,
and oxygen
Wireless local loop
experiment
a. RF-Based Systems
According to Ugweje (2004), six categories such as microwave RF systems, fixed and mobile satellite systems, wireless networks
and protocols, personal communication systems, remote sensing systems, and new wireless technologies are depicted in Figure 1.
This classification does not distinguish between protocols and communication layers. These devices send and receive radio waves
that are tuned to particular frequency bands. The study further highlighted that the term "microwave" refers broadly to all RFs
that fall between 1 and 40 GHz. The UHF, SHF, and EHF systems are included in this. While satellite communications use the
higher microwave frequencies (SHF and EHF), terrestrial-based radio frequency systems typically employ the lower microwave
frequencies (UHF). A transmitting antenna sends precisely targeted radio wave beams to a receiving antenna in a terrestrial
microwave system. With a typical relay tower distance of 30 miles apart, a terrestrial microwave system communicates between
the transmitter (Tx) and the receiver (Rx) via line-of-sight (LOS) propagation.
Figure 1. RF-based wireless communication configurations (Ugweje, 2004)
b. Sustainable Infrastructure Development and Green Communications
The social, economic, and environmental aspects of sustainability are all included in its concept. For infrastructures to thrive in
the long run, it is important to invest a large number of resources to enhance performance with regard to each of these
sustainability factors. It is essential to take into account fundamental aspects that have a substantial impact on design to develop
and implement a common framework for sustainable communication (Kumar et al., 2023).
The creation of an ecologically sustainable telecommunications sector that minimizes its carbon footprint and lessens its overall
impact on the environment is highly prioritized. The growing demand for data and the expansion of digital connectivity make it
imperative to address the environmental issues brought on by the expansion of telecommunications infrastructure (Wang et al.,
2021). One of the most important ways to lower communication network energy consumption and environmental effects is
through the use of green base stations and antennas. It also emphasizes the significance of cloud computing technologies and
energy-efficient data centers. The backbone of the contemporary telecommunications network is the data center, which can have
substantial energy requirements. Adopting energy-efficient techniques, such as virtualization and effective cooling systems, can
help data centers minimize their environmental impact and lower their power consumption. Additionally, using renewable energy
sources for data centers can help create a network ecosystem that is more environmentally friendly and sustainable.
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i. Green base stations
Kumar et al., (2023) further revealed that green Base Stations represent the creation and application of ecologically responsible
and energy-efficient infrastructure elements. These elements are essential to lowering energy usage, cutting carbon emissions, and
advancing sustainability in the communications sector since the energy-intensive nature of traditional wireless network base
stations and antennas contributes significantly to carbon emissions. Green base stations are designed to maximize energy use
without sacrificing network efficiency. They include cutting-edge technology: energy-efficient RF components, intelligent power
amplifiers, and dynamic power management.
Figure 2. Layout of green base stations (Kumar et al., 2023)
These developments contribute to significant energy savings by lowering power usage during times when network traffic is low
and dynamically adjusting power levels in response to demand. The general architecture of green base stations is shown in Figure
2. Utilizing renewable energy sources, optimizing power use, and implementing energy-efficient technology all contribute to
developing a more environmentally friendly and sustainable telecoms ecosystem.
ii. Sustainable Materials for System Components
An increasing number of businesses, including telecoms, are realizing how critical it is to adopt sustainable practices in light of
the worldwide concern over the effects of technology on the environment and the pressing need to address climate change. The
adoption of eco-friendly materials for network components revolves around the design and production of various network
components and infrastructure needed for connectivity, with an emphasis on the utilization of low-impact and environmentally
sustainable materials (Table 1).
IV. Future Directions and Limitations
Future developments in RF engineering and green communications have enormous potential to improve sustainability and lessen
environmental impact as the communications sector expands. Recent advances in RF engineering are propelling the design of
sustainable infrastructure while emerging trends and technologies are reshaping the field of green communications.
According to previous research, green communications are faced with issues including secure power optimization, energy-
efficient communication equipment, and modernizing communication technology, necessitating the effective utilization of
wireless network resources (Cornelius & Atang Bulus Azi, 2023; Adimoolam et al., 2020; Kulkarni et al., 2020). However, in
addition to these challenges, Hamdi et al., (2020) and Zidar et al., (2024) suggested certain potential advancements such as
adopting lower equipment power designs, optimizing circuit design, improving heat dispersion, and compressing the embedded
level of chipsets and optical-electronic systems that can significantly reduce energy usage.
The development and application of green RF technologies are hindered by the scarcity of energy-efficient components and the
high cost of integrating renewable energy. This is in addition to regulatory restrictions within organizations, in which difficulty
may arise in complying with regulations, licensing limits on the use of spectrum, and other requirements that could allow
difficulty in the adoption of novel green communication solutions as well as the reduction in economic competitiveness (Wang,
Li, & Liu, 2023). Additionally, inadequate compatibility may arise due to the use of outdated facilities and connectivity
challenges that may cause hindrances in the development and utilization of green radio technologies. Asadi et al., (2016) stated
that resistance to change, an inadequate knowledge of green communication technology among end users and decision-makers,
and a lack of awareness of its environmental benefits could all hinder market acceptability and adoption.
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V. Conclusion
RF engineering plays a vital role by contributing to the design, implementation, and management of sustainable infrastructure to
ultimately promote sustainability within communication networks. The review highlights the noteworthy benefits of employing
green communication techniques in terms of limiting energy usage, increasing conservation efforts, and reducing carbon
emissions. Therefore, organizations can optimize power usage, improve spectrum efficiency, and incorporate renewable energy
sources to attain better sustainability in communication networks by utilizing RF engineering techniques and procedures.
In addition, it is critical to understand the difficulties, obstacles, and factors involved in advancing green communications and the
development of sustainable infrastructure. To overcome challenges and achieve the full potential of green communication
projects, a variety of variables must be properly addressed, ranging from technological limitations and legal difficulties to
economic feasibility and stakeholder engagement. However, it's critical to understand the constraints and compromises associated
with developing sustainable infrastructure. Resolving the complicated and continuous task of balancing the need for technological
innovation with social concerns, economic viability, and environmental responsibility necessitates collaboration and innovation.
Therefore, through the adoption of environmentally conscious actions, the utilization of RF engineering, and addressing emerging
obstacles and possibilities, a digital ecosystem that is more sustainable and greener can potentially be developed. RF engineering
and green communication networks are essential elements of sustainable infrastructure design. Emerging technologies in these
fields have the potential to reduce energy use and protect the environment. Therefore, to overcome these obstacles and facilitate
the shift to a more sustainable communication infrastructure, additional study and development are required.
Authors Contributions
This research was a collaborative effort by all authors. Specifically:
Damilare Samson Olaleye conceived the research idea of applying radio frequency engineering to sustainable
infrastructure design, did the literature review and wrote the introduction sections.
Abiodun Charles Oloye contributed expertise in radio frequency engineering and wrote the section on radio frequency
engineering in green communicatios.
Akinkunle Olanrewaju Akinloye
provided knowledge on the theoretical framework for green communications and also
provided the future directions and limitations of green communications.
Oladayo Tosin Akinwande collaborated on the writing and editing of the manuscript, ensuring clarity, and wrote the
conclusion sections.
References
1. Adimoolam, M., John, A., Balamurugan, N. M., & Ananth Kumar, T. (2020). Green ICT Communication, Networking
and Data Processing. In Green Computing in Smart Cities: Simulation and Techniques (pp. 95124). https:// doi.org/
10.1007/978-3-030-48141-4_6
2. Agboola, O. P., Bashir, F. M., Dodo, Y. A., Mohamed, M. A. S., & Alsadun, I. S. R. (2023). The influence of
information and communication technology (ICT) on stakeholders’ involvement and smart urban sustainability.
Environmental Advances, 13, 100431. https://doi.org/10.1016/j.envadv.2023.100431
3. Almalki, Faris. A., Alsamhi, S. H., Sahal, R., Hassan, J., Hawbani, A., Rajput, N. S., Saif, A., Morgan, J., & Breslin, J.
(2021). Green IoT for Eco-Friendly and Sustainable Smart Cities: Future Directions and Opportunities. Mobile
Networks and Applications, 28. https://doi.org/10.1007/s11036-021-01790-w
4. Ameur, H., Khoukhi, L., Esseghir, M., & Boulahia, L. M. (2017). Energy efficient networks: recent research and future
challenges. International Journal of Wireless and Mobile Computing, 12(1), 1. https://doi.org/ 10.1504/ ijwmc. 2017.
10003975
5. Asadi, S., Hussin, A. R. C. H., & Saedi, A. (2016). Decision makers intention for adoption of Green Information
Technology. 2016 3rd International Conference on Computer and Information Sciences (ICCOINS). https:// doi.org/
10.1109/iccoins.2016.7783195
6. Cornelius, & Atang Bulus Azi. (2023). GREEN COMMUNICATIONS. Engineering and Technology Journal, 08(10).
https://doi.org/10.47191/etj/v8i10.16
7. Debbarma T., & Chandrasekaran, K. (2016). Green measurement metrics towards a sustainable software: A systematic
literature review. International Conference on Recent Advances and Innovations in Engineering, ICRAIE 2016,
Institute of Electrical and Electronics Engineers Inc., https://doi.org/10.1109/icraie.2016.7939521
8. Despins, C., Labeau, F., Le Ngoc, T., Labelle, R., Cheriet, M., Thibeault, C., Gagnon, F., Leon-Garcia, A., Cherkaoui,
O., St. Arnaud, B., Mcneill, J., Lemieux, Y., & Lemay, M. (2011). Leveraging green communications for carbon
emission reductions: Techniques, testbeds, and emerging carbon footprint standards. IEEE Communications Magazine,
49(8), 101109. https://doi.org/10.1109/mcom.2011.5978422
9. Feng, D., Jiang, C., Lim, G., Cimini, L. J., Feng, G., & Li, G. Y. (2013). A survey of energy-efficient wireless
communications. IEEE Communications Surveys & Tutorials, 15(1), 167178. https://doi.org/ 10.1109/ surv. 2012.
020212.00049
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue V, May 2024
www.ijltemas.in Page 120
10. Gandotra, P., Jha, R. K., & Jain, S. (2017). Green Communication in Next Generation Cellular Networks: A Survey.
IEEE Access, 5, 1172711758. https://doi.org/10.1109/access.2017.2711784
11. HAJA MOINUDEEN, S. H., THANGANADAR THANGATHAI, M., & DHANDAPANI, K. P. (2020). Emulation of
burst-based adaptive link rates in NetFPGA towards green networking. TURKISH JOURNAL of ELECTRICAL
ENGINEERING & COMPUTER SCIENCES, 28(3), 12461263. https://doi.org/10.3906/elk-1906-180
12. Hamdi, M. M., Audah, L., Rashid, S. A., Alani, S., Al-Mashhadani, M. A., & Mustafa, A. S. (2020). Green
Communication Networks Challenges, Opportunities and Future Role. Journal of Communications, 256262. https://
doi. org/10.12720/jcm.15.3.256-262
13. Hu, J., Liu, D., Du, C., Yan, F., & Lv, C. (2020). Intelligent energy management strategy of hybrid energy storage
system for electric vehicle based on driving pattern recognition. Energy, 198, 117298. https:// doi.org/ 10.1016/ j.
energy. 2020. 117298
14. Intergovernmental Panel on Climate Change (IPCC). (2018). Global Warming of 1.5
o
C. IPCC; Intergovernmental
Panel on Climate Change. https://www.ipcc.ch/sr15/
15. International Telecommunication Union. (2022). ITU Publications International Telecommunication Union Global
Connectivity Report 2022. https://www.itu.int/dms_pub/itu-d/opb/ind/d-ind-global.01-2022-pdf-e.pdf
16. Israr, A., Yang, Q., Li, W., & Zomaya, A. Y. (2020). Renewable energy powered sustainable 5G network infrastructure:
Opportunities, challenges and perspectives. Journal of Network and Computer Applications, 175, 102910. https://
doi.org/ 10.1016/j.jnca.2020.102910
17. Jahid, A., Hossain, Md. S., Monju, Md. K. H., Rahman, Md. F., & Hossain, Md. F. (2020). Techno-Economic and
Energy Efficiency Analysis of Optimal Power Supply Solutions for Green Cellular Base Stations. IEEE Access, 8,
4377643795. https://doi.org/10.1109/access.2020.2973130
18. Kulkarni, A., Gautam, A., Kothari, M., & Saonawane, S. (2020). A Review on Energy Efficient Green Communication.
International Journal of Innovative Research in Electronics and Communications, 7(2). https://doi.org/10.20431/2349-
4050.0702002
19. Kumar, R., Gupta, S. K., Wang, H.-C., Kumari, C. S., & Korlam, S. S. V. P. (2023). From Efficiency to Sustainability:
Exploring the Potential of 6G for a Greener Future. Sustainability, 15(23), 16387. https://doi.org/10.3390/su152316387
20. Mousavi, S., Hosseinzadeh, A., & Abooali Golzary. (2023). Challenges, recent development, and opportunities of smart
waste collection: A review. Science of the Total Environment, 886, 163925163925. https:// doi.org/ 10.1016/ j.
scitotenv.2023.163925
21. Muhammad Fakhrul Safitra, Lubis, M., M. Teguh Kurniawan, Muhammad Ilham Alhari, Nuraliza, H., Shafira Fatimah
Azzahra, & Dian Permana Putri. (2023). Green Networking: Challenges, Opportunities, and Future Trends for
Sustainable Development. ICCCM ’23: Proceedings of the 2023 11th International Conference on Computer and
Communications Management At: Nagoya, Japan. https://doi.org/10.1145/3617733.3617760
22. Nandakumar, S., Velmurugan, T., Thiagarajan, U., Karuppiah, M., Hassan, M. M., Alelaiwi, A., & Islam, Md. M.
(2019). Efficient Spectrum Management Techniques for Cognitive Radio Networks for Proximity Service. IEEE
Access, 7, 4379543805. https://doi.org/10.1109/access.2019.2906469
23. Onidare, S. O., Tiamiyu, O. A., Adebowale, Q. R., Ajayi, O. T., Adewole, K. B., & Ayeni, A. A. (2023). Optimizing the
Spectrum and Energy Efficiency in Dynamic Licensed Shared Access Systems. International Journal on Electrical
Engineering and Informatics, 15(3), 368386. https://doi.org/10.15676/ijeei.2023.15.3.1
24. Ons Ben Rhouma, Chiheb Rebai, Manel Ben-Romdhane, Dario Di Cara, Artale, G., & Panzavecchia, N. (2023). The
Environmental Impacts of Radio Frequency and Power Line Communication for Advanced Metering Infrastructures in
Smart Grids. Sensors, 23(24), 96219621. https://doi.org/10.3390/s23249621
25. Péter Sasvári. (2010). The Development of Information and Communication Technology. University of Miskolc.
26. Safitra M. F., Lubis, M., Arif Ridho Lubis, & Muhammad Ilham Alhari. (2024). The Need for Energy-Efficient
Networks: A Review of Green Communication Systems and Network Architectures. Lecture Notes in Networks and
Systems (Online), 127136. https://doi.org/10.1007/978-981-99-7569-3_11
27. Shen, Y., Yang, Z., & Zhang, X. (2023). Impact of digital technology on carbon emissions: Evidence from Chinese
cities. Front. Ecol. Evol. 11:1166376. , 11. https://doi.org/10.3389/fevo.2023.1166376
28. Sidhu, R. K., Singh Ubhi, J., & Aggarwal, A. (2019, April 1). A Survey Study of Different RF Energy Sources for RF
Energy Harvesting. IEEE Xplore. https://doi.org/10.1109/ICACTM.2019.8776726
29. Sil, R., & Chatterjee, R. (2023). Evolution of Next-Generation Communication Technology. Springer Tracts in
Electrical and Electronics Engineering ((STEEE)), 117. https://doi.org/10.1007/978-981-99-3668-7_1
30. Song, M., Xin, C., Zhao, Y., & Cheng, X. (2012). Dynamic spectrum access: from cognitive radio to network radio.
IEEE Wireless Communications, 19(1), 2329. https://doi.org/10.1109/mwc.2012.6155873
31. Ugweje, O. C. (2004). Radio Frequency and Wireless Communications. The Internet Encyclopedia. https:// doi.org/ 10.
1002/047148296x.tie151
32. United Nations. (2017). World population projected to reach 9.8 billion in 2050, and 11.2 billion in 2100. United
Nations. https://www.un.org/en/desa/world-population-projected-reach-98-billion-2050-and-112-billion-2100
33. Wang, D., Li, J., & Liu, Y. (2023). Evaluating barriers and strategies to green energy innovations for sustainable
development: developing resilient energy systems. Frontiers in Energy Research, 11. https://doi.org/10.3389/fenrg.
2023.1201692
INTERNATIONAL JOURNAL OF LATEST TECHNOLOGY IN ENGINEERING,
MANAGEMENT & APPLIED SCIENCE (IJLTEMAS)
ISSN 2278-2540 | DOI: 10.51583/IJLTEMAS | Volume XIII, Issue V, May 2024
www.ijltemas.in Page 121
34. Wang, J., Zhu, K., & Hossain, E. (2021). Green Internet of Vehicles (IoV) in the 6G Era: Toward Sustainable Vehicular
Communications and Networking. IEEE Transactions on Green Communications and Networking, 11.
https://doi.org/10.1109/tgcn.2021.3127923
35. Wang, Q., Li, W., Yu, Z., Imran, M., Ansari, S., Sambo, Y., Wu, L., Li, Q., & Zhu, T. (2023). An Overview of
Emergency Communication Networks. Remote Sensing, 15(6), 15951595. https://doi.org/10.3390/rs15061595
36. Wu, H.-C., Akamine, C., Rong, B., Velez, M., Wang, C., & Wang, J. (2018). Point-to-Multipoint Communications and
Broadcasting in 5G. IEEE Communications Magazine, 56(3), 7273. https://doi.org/10.1109/mcom.2018.8316771
37. Wu, J., Zhang, Y., Zukerman, M., & Yung, E. K.-N. (2015). Energy-Efficient Base-Stations Sleep-Mode Techniques in
Green Cellular Networks: A Survey. IEEE Communications Surveys & Tutorials, 17(2), 803826. https:// doi.org/
10.1109/comst.2015.2403395
38. Yaacoub, E., & Alouini, M.-S. (2020). A Key 6G Challenge and OpportunityConnecting the Base of the Pyramid: A
Survey on Rural Connectivity. Proceedings of the IEEE, 108(4), 533582. https://doi.org/10.1109/jproc.2020.2976703
39. Yang, Z., Jianjun, L., Faqiri, H., Shafik, W., Talal Abdulrahman, A., Yusuf, M., & Sharawy, A. M. (2021). Green
Internet of Things and Big Data Application in Smart Cities Development. Complexity, 2021, 115. https:// doi.org/
10.1155/ 2021/4922697
40. Zidar, J., Tomislav Matić, Aleksi, I., & Željko Hocenski. (2024). Dynamic Voltage and Frequency Scaling as a Method
for Reducing Energy Consumption in Ultra-Low-Power Embedded Systems. Electronics (Basel), 13(5), 826826.
https://doi.org/10.3390/electronics13050826
Authors' information
1. Damilare Samson Olaleye is a skilled wireless communications professional with expertise in RF engineering and
network optimization. dedicated to building and enhancing high-performing wireless networks. strongly focus on
network performance, specializing in RF optimization, parameter definition, drive testing, and capacity planning. My
proficiency extends to GIS performance analysis, frequency coordination, and signal interference mitigation.
2. Abiodun Charles Oloye career spans highly accomplished and process-driven professional with over 20+ years of
international experience in project and programme management. Adept in supporting large-scale projects, coordinating
regional operations, and spearheading maintenance activities and delivered green energy solutions within the
telecommunications industry. Proficient in performing forensic analysis and risk assessments to identify vulnerabilities
and develop security strategies.
3. Akinkunle Olanrewaju Akinloye is highly accomplished and process-driven professional with over 13 years
of experience in network security, network operations, network design and cloud computing. Skilled in driving
organisational security initiatives and employing robust network security measures. Strong background in ensuring
compliance with industry regulations and applying best practices to safeguard critical data and information systems
4. Oladayo Tosin Akinwande is an Assistant lecturer in Software Engineering department of Veritas University, Abuja.
He is currently pursuing his Ph. D in Computer Science specialising in Explainable Artificial Intelligence (XAI). He
Holds a Master’s degree in Computer Science and Bachelor’s Degree in Computer Science, both from Federal
University of Technology, Minna. He is an experienced, competent and well-trained researcher in the fields relating to
computing with expertise in Machine Learning and Artificial Intelligence. He is a member of Nigeria Computer Society
(NCS).