Computation offloading and content caching and delivery in vehicular edge network: A survey
The past decade has witnessed the widespread adoption of Cloud Computing (CC) across
automotive industries for a myriad of vehicular applications. A vehicular network that solely …
automotive industries for a myriad of vehicular applications. A vehicular network that solely …
Secure UAV-aided mobile edge computing for IoT: A review
As the Internet of Things (IoT) ecosystem evolves, innovative applications with stringent
demands with respect to latency will emerge. To handle computation-intensive tasks in a …
demands with respect to latency will emerge. To handle computation-intensive tasks in a …
Cost-effective user allocation in 5G NOMA-based mobile edge computing systems
Mobile edge computing (MEC) allows edge servers to be placed at cellular base stations.
App vendors like Uber and YouTube can rent computing resources and deploy latency …
App vendors like Uber and YouTube can rent computing resources and deploy latency …
[HTML][HTML] Homomorphic encryption based privacy-preservation for iomt
Healthcare applications store private user data on cloud servers and perform computation
operations that support several patient diagnoses. Growing cyber-attacks on hospital …
operations that support several patient diagnoses. Growing cyber-attacks on hospital …
Task offloading in Edge and Cloud Computing: A survey on mathematical, artificial intelligence and control theory solutions
F Saeik, M Avgeris, D Spatharakis, N Santi… - Computer Networks, 2021 - Elsevier
Next generation communication networks are expected to accommodate a high number of
new and resource-voracious applications that can be offered to a large range of end users …
new and resource-voracious applications that can be offered to a large range of end users …
Edge intelligence: concepts, architectures, applications, and future directions
J Mendez, K Bierzynski, MP Cuéllar… - ACM Transactions on …, 2022 - dl.acm.org
The name edge intelligence, also known as Edge AI, is a recent term used in the past few
years to refer to the confluence of machine learning, or broadly speaking artificial …
years to refer to the confluence of machine learning, or broadly speaking artificial …
[HTML][HTML] Machine learning for physical layer in 5G and beyond wireless networks: A survey
Fifth-generation (5G) technology will play a vital role in future wireless networks. The
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where …
Computation offloading and resource allocation in NOMA-MEC: A deep reinforcement learning approach
C Shang, Y Sun, H Luo… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Multiaccess edge computing has emerged as a powerful paradigm for increasing the
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
computation performance of mobile devices (MDs). Applying nonorthogonal multiple access …
[HTML][HTML] The role of artificial intelligence driven 5G networks in COVID-19 outbreak: Opportunities, challenges, and future outlook
There is no doubt that the world is currently experiencing a global pandemic that is
reshaping our daily lives as well as the way business activities are being conducted. With …
reshaping our daily lives as well as the way business activities are being conducted. With …
ML-based radio resource management in 5G and beyond networks: A survey
In this survey, a comprehensive study is provided, regarding the use of machine learning
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …
(ML) algorithms for effective resource management in fifth-generation and beyond (5G/B5G) …