A survey on the computation offloading approaches in mobile edge/cloud computing environment: a stochastic-based perspective
A Shakarami, M Ghobaei-Arani, M Masdari… - Journal of Grid …, 2020 - Springer
Fast growth of produced data from deferent smart devices such as smart mobiles, IoT/IIoT
networks, and vehicular networks running different specific applications such as Augmented …
networks, and vehicular networks running different specific applications such as Augmented …
Caching in the sky: Proactive deployment of cache-enabled unmanned aerial vehicles for optimized quality-of-experience
In this paper, the problem of proactive deployment of cache-enabled unmanned aerial
vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud …
vehicles (UAVs) for optimizing the quality-of-experience (QoE) of wireless devices in a cloud …
[HTML][HTML] Digital transformation in wireless networks: A comprehensive analysis of mobile data offloading techniques, challenges, and future prospects
N Rosele, KM Zaini, NA Mustaffa, A Abrar… - Journal of King Saud …, 2024 - Elsevier
Mobile data offloading is a highly promising approach in mobile networks that tackles
network congestion at Base Stations (BSs) and greatly improves both the Quality of Service …
network congestion at Base Stations (BSs) and greatly improves both the Quality of Service …
Traffic and computation co-offloading with reinforcement learning in fog computing for industrial applications
In the past decade, network data communication has experienced a rapid growth, which has
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
Optimal caching scheme in D2D networks with multiple robot helpers
Mobile robots are playing an important role in modern industries. The deployment of robots
which act as mobile helpers in a wireless network is rarely considered in the existing studies …
which act as mobile helpers in a wireless network is rarely considered in the existing studies …
Deep reinforcement learning (DRL)-based device-to-device (D2D) caching with blockchain and mobile edge computing
Device-to-Device (D2D) caching assists Mobile Edge Computing (MEC) based caching in
offloading inter-domain traffic by sharing cached items with nearby users, while its …
offloading inter-domain traffic by sharing cached items with nearby users, while its …
Cache less for more: Exploiting cooperative video caching and delivery in D2D communications
The ever-increasing demand for videos on mobile devices poses a significant challenge to
existing cellular network infrastructures. To cope with the challenge, we propose a user …
existing cellular network infrastructures. To cope with the challenge, we propose a user …
A low-latency object detection algorithm for the edge devices of IoV systems
The emergence of edge computing (EC) and intelligent vision-based driver assistance
system is of great significance for the prospective development of Internet of Vehicle (IoV) …
system is of great significance for the prospective development of Internet of Vehicle (IoV) …
Liquid state machine learning for resource allocation in a network of cache-enabled LTE-U UAVs
In this paper, the problem of joint caching and resource allocation is investigated for a
network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground …
network of cache-enabled unmanned aerial vehicles (UAVs) that service wireless ground …
A comprehensive review on edge caching from the perspective of total process: Placement, policy and delivery
H Wu, Y Fan, Y Wang, H Ma, L Xing - Sensors, 2021 - mdpi.com
With the explosive growth of smart devices and mobile applications, mobile core networks
face the challenge of exponential growth in traffic and computing demand. Edge caching is …
face the challenge of exponential growth in traffic and computing demand. Edge caching is …