Smart performance optimization of energy‐aware scheduling model for resource sharing in 5G green communication systems

S Sangeetha, J Logeshwaran… - The Journal of …, 2024 - Wiley Online Library
This paper presents an analysis of the performance of the Energy Aware Scheduling
Algorithm (EASA) in a 5G green communication system. 5G green communication systems …

Deep Reinforcement Learning based Mobility Management in a MEC-Enabled Cellular IoT Network

H Kabir, ML Tham, YC Chang, CO Chow - Pervasive and Mobile …, 2024 - Elsevier
Abstract Mobile Edge Computing (MEC) has paved the way for new Cellular Internet of
Things (CIoT) paradigm, where resource constrained CIoT Devices (CDs) can offload tasks …

[HTML][HTML] Controller-driven vector autoregression model for predicting content popularity in programmable named data networking devices

F Qaiser, M Hussain, A Ahad, IM Pires - PeerJ Computer Science, 2024 - peerj.com
Abstract Named Data Networking (NDN) has emerged as a promising network architecture
for content delivery in edge infrastructures, primarily due to its name-based routing and …

Joint delay and energy aware dragonfly optimization‐based uplink resource allocation scheme for LTE‐A networks in a cross‐layer environment

L Moses, P Sambantham, M Faheem… - The Journal of …, 2024 - Wiley Online Library
The exponential growth in data traffic from smart devices has led to a need for highly
capable wireless networks with faster data transmission rates and improved spectral …

Joint User Association and Resource Allocation for Tailored QoS Provisioning in 6G HetNets

Y Fu, X Wang - arXiv preprint arXiv:2403.03492, 2024 - arxiv.org
The proliferation of wireless-enabled applications with divergent quality of service (QoS)
requirements necessitates tailored QoS provisioning. With the growing complexity of …

A Review of IoT Applications in Smart Environments: From Smart Cities to Military Integration

A Alashbi, AH Mohamed, I Shayea, AA El-Saleh… - … Conference of Reliable …, 2023 - Springer
Abstract Internet of Things (IoT) is a rapidly developing network of communication that
enables data sharing and real-time analytics among physical objects. It has numerous …

Multi-Agent Reinforcement Learning for Power System Operation and Control

A Jain, J Sridevi, U Dabral, A Malhotra… - E3S Web of …, 2024 - e3s-conferences.org
This study investigates the use of Multi-Agent Reinforcement Learning (MARL) to enhance
the efficiency of power system operation and control. The simulated power system …

An intelligent call admission control algorithm for load balancing in 5G-satellite networks

M Bello - 2024 - wlv.openrepository.com
Cellular networks are projected to deal with an immense rise in data traffic, as well as an
enormous and diverse device, plus advanced use cases, in the nearest future; hence, future …