As a mode of processing task request, edge computing paradigm can reduce task delay and
effectively alleviate network congestion caused by the proliferation of Internet of things (IoT) …

Multi-access edge computing (MEC) and ultra-dense networking (UDN) are recognized as
two promising paradigms for future mobile networks that can be utilized to improve the …

The future wireless network will face demands of massive connectivity and intensive
computation with the increase of mobile devices. Mobile edge computing (MEC) and Device …

Technological advancements of urban informatics and vehicular intelligence have enabled
connected smart vehicles as pervasive edge computing platforms for a plethora of powerful …

Multi-access edge computing (MEC), which is deployed in the proximity area of the mobile
user side as a supplement to the traditional remote cloud center, has been regarded as a …

We present a novel game-theoretic (GT) and reinforcement learning (RL) framework for
computational offloading in the mobile edge computing (MEC) network operated by multiple …

The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …

Edge computing is a promising paradigm that can address the requirements of compute-
intensive tasks generated by delay-sensitive applications, through bringing processing and …

Digital twinning and edge computing are attractive solutions to support computing-intensive
and service-sensitive Internet of Vehicles applications. Most of the existing Internet of …

In vehicular edge computing networks, edge service caching has emerged as a promising
technology that supports delay sensitive applications. When the vehicles pass the coverage …