[HTML][HTML] Cooperative task execution for object detection in edge computing: An internet of things application
The development of computer hardware and communications has brought with it many
exciting applications in the Internet of Things. More and more Single Board Computers …
exciting applications in the Internet of Things. More and more Single Board Computers …
A survey of multi-access edge computing and vehicular networking
L Hou, MA Gregory, S Li - IEEE Access, 2022 - ieeexplore.ieee.org
With the introduction of 5G and the Internet of Things, Multi-access Edge Computing (MEC)
has become an evolving distributed computation and storage capability at the network edge …
has become an evolving distributed computation and storage capability at the network edge …
Combined communication and computing resource scheduling in sliced 5G multi-access edge computing systems
The fifth generation (5G) cellular networks aim to deliver data with low/ultra-low latency to
users and support diverse services which require two main types of resources …
users and support diverse services which require two main types of resources …
Latency optimization for cellular assisted mobile edge computing via non-orthogonal multiple access
In this article, we investigate the cellular assisted mobile edge computing (MEC) via non-
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
orthogonal multiple access (NOMA), where a group of edge-computing users (EUs) exploit …
[PDF][PDF] Multi-Agent Deep Q-Networks for Efficient Edge Federated Learning Communications in Software-Defined IoT.
Federated learning (FL) activates distributed on-device computation techniques to model a
better algorithm performance with the interaction of local model updates and global model …
better algorithm performance with the interaction of local model updates and global model …
Massive MIMO-assisted mobile edge computing: Exciting possibilities for computation offloading
In this article, we propose to apply massive multipleinput, multiple-output (MIMO) to mobile
edge computing (MEC). This application is expected to greatly facilitate the offloading in …
edge computing (MEC). This application is expected to greatly facilitate the offloading in …
Toward using reinforcement learning for trigger selection in network slice mobility
Recent 5G trials have demonstrated the usefulness of the Network Slicing concept that
delivers customizable services to new and under-serviced industry sectors. However, user …
delivers customizable services to new and under-serviced industry sectors. However, user …
Predictive UAV base station deployment and service offloading with distributed edge learning
In modern networks, edge computing will be responsible for processing and learning from
the critical network-and user-generated data, such as wireless link usage, mobility …
the critical network-and user-generated data, such as wireless link usage, mobility …
Toward caching techniques in edge computing over SDN-IoT architecture: A review of challenges, solutions, and open issues
Abstract The Internet of Things (IoT) is a network of interconnected computing devices that
link billions of devices to the Internet and take advantage of Information-centric networking …
link billions of devices to the Internet and take advantage of Information-centric networking …
Edge server placement problem in multi-access edge computing environment: models, techniques, and applications
Abstract Multi-Access Edge Computing (MEC) is known as a promising communication
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …
paradigm that enables IoT and 5G scenarios by using edge servers located in the proximity …