Key advances in pervasive edge computing for industrial Internet of Things in 5G and beyond
This article surveys emerging technologies related to pervasive edge computing (PEC) for
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
industrial internet-of-things (IIoT) enabled by fifth-generation (5G) and beyond …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
Driven by the demand to accommodate today's growing mobile traffic, 5G is designed to be
a key enabler and a leading infrastructure provider in the information and communication …
a key enabler and a leading infrastructure provider in the information and communication …
Artificial intelligence for wireless caching: Schemes, performance, and challenges
Wireless data traffic is growing unprecedentedly and it may impede network performance by
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
consuming an ever-greater amount of bandwidth. With the advancement in technology there …
Deep reinforcement learning-based edge caching in wireless networks
With the purpose to offload data traffic in wireless networks, content caching techniques
have recently been studied intensively. Using these techniques and caching a portion of the …
have recently been studied intensively. Using these techniques and caching a portion of the …
Learning-based queue-aware task offloading and resource allocation for space–air–ground-integrated power IoT
Space-air-ground-integrated power Internet of Things (SAG-PIoT) can provide ubiquitous
communication and computing services for PIoT devices deployed in remote areas. In SAG …
communication and computing services for PIoT devices deployed in remote areas. In SAG …
Economically optimal MS association for multimedia content delivery in cache-enabled heterogeneous cloud radio access networks
In cache-enabled heterogeneous cloud radio access networks (HC-RANs), mobile station
(MS) association for multimedia content delivery should consider both the content caching …
(MS) association for multimedia content delivery should consider both the content caching …
Adaptive video streaming with edge caching and video transcoding over software-defined mobile networks: A deep reinforcement learning approach
Both mobile edge cloud (MEC) and software-defined networking (SDN) are technologies for
next generation mobile networks. In this paper, we propose to simultaneously optimize …
next generation mobile networks. In this paper, we propose to simultaneously optimize …
Echo-liquid state deep learning for 360° content transmission and caching in wireless VR networks with cellular-connected UAVs
In this paper, the problem of content caching and transmission is studied for a wireless
virtual reality (VR) network in which cellular-connected unmanned aerial vehicles (UAVs) …
virtual reality (VR) network in which cellular-connected unmanned aerial vehicles (UAVs) …
Integrated resource management for terrestrial-satellite systems
As data traffic in terrestrial-satellite systems surges, the integration of power allocation for
caching, computing, and communication (3C) has attracted much research attention …
caching, computing, and communication (3C) has attracted much research attention …
Multi-agent deep reinforcement learning-based cooperative edge caching for ultra-dense next-generation networks
The soaring mobile data traffic demands have spawned the innovative concept of mobile
edge caching in ultra-dense next-generation networks, which mitigates their heavy traffic …
edge caching in ultra-dense next-generation networks, which mitigates their heavy traffic …