Energy efficient transmission trends towards future green cognitive radio networks (5G): Progress, taxonomy and open challenges

A Srivastava, MS Gupta, G Kaur - Journal of Network and Computer …, 2020 - Elsevier
With the growing cognizance about environmental concern and global warming-related to
communication technologies, the researchers have been seeking some solutions to …

[HTML][HTML] Understanding sustainable energy in the context of smart cities: a PRISMA review

TTP Cortese, JFS Almeida, GQ Batista, JE Storopoli… - Energies, 2022 - mdpi.com
In the context of smart cities, sustainability is an essential dimension. One of the ways to
achieve sustainability and reduce the emission of greenhouse gases in smart cities is …

Collaborative cloud-edge-end task offloading in mobile-edge computing networks with limited communication capability

C Kai, H Zhou, Y Yi, W Huang - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
Mobile edge computing (MEC) is an emerging computing paradigm for enabling low-
latency, high-bandwidth and agile mobile services by deploying computing platform at the …

[HTML][HTML] Electricity price and load forecasting using enhanced convolutional neural network and enhanced support vector regression in smart grids

M Zahid, F Ahmed, N Javaid, RA Abbasi… - Electronics, 2019 - mdpi.com
Short-Term Electricity Load Forecasting (STELF) through Data Analytics (DA) is an emerging
and active research area. Forecasting about electricity load and price provides future trends …

IoT enabled integrated system for green energy into smart cities

X Zhang, G Manogaran, BA Muthu - Sustainable Energy Technologies and …, 2021 - Elsevier
With the substantial social and environmental change at the global level, increasing
numbers of cities worldwide have been directed their infrastructure strategies towards …

Energy efficient resource allocation algorithm in energy harvesting-based D2D heterogeneous networks

Z Kuang, G Liu, G Li, X Deng - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
Energy harvesting (EH) from ambient energy sources can potentially reduce the
dependence on the supply of grid or battery energy, providing many benefits to green …

Optimal resource allocation in energy-efficient Internet-of-Things networks with imperfect CSI

JA Ansere, G Han, L Liu, Y Peng… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Internet of Things (IoT) is an emerging networking paradigm that enhances smart device
communications through Internet-enabled systems. Due to massive IoT devices connectivity …

A deep reinforcement learning scheme for sum rate and fairness maximization among d2d pairs underlaying cellular network with noma

V Vishnoi, I Budhiraja, S Gupta… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Device-to-device (D2D) communication is an emerging technology in 5G and the upcoming
6G networks due to its properties to enhanced sum rate. Despite these advantages, co …

[HTML][HTML] Towards electric price and load forecasting using cnn-based ensembler in smart grid

S Aslam, N Ayub, U Farooq, MJ Alvi, FR Albogamy… - Sustainability, 2021 - mdpi.com
Medium-term electricity consumption and load forecasting in smart grids is an attractive topic
of study, especially using innovative data analysis approaches for future energy …

Secure device-to-device communications for 5g enabled internet of things applications

GS Gaba, G Kumar, TH Kim, H Monga… - Computer …, 2021 - Elsevier
Smart cities are developed to optimize operations across the city such as waste and traffic
management, water supply management, criminal tracking, and pollution monitoring, etc …