A survey on end-edge-cloud orchestrated network computing paradigms: Transparent computing, mobile edge computing, fog computing, and cloudlet
Sending data to the cloud for analysis was a prominent trend during the past decades,
driving cloud computing as a dominant computing paradigm. However, the dramatically …
driving cloud computing as a dominant computing paradigm. However, the dramatically …
Toward interconnected virtual reality: Opportunities, challenges, and enablers
Just recently, the concept of augmented and virtual reality (AR/VR) over wireless has taken
the entire 5G ecosystem by storm, spurring an unprecedented interest from academia …
the entire 5G ecosystem by storm, spurring an unprecedented interest from academia …
Machine learning for 5G/B5G mobile and wireless communications: Potential, limitations, and future directions
ME Morocho-Cayamcela, H Lee, W Lim - IEEE access, 2019 - ieeexplore.ieee.org
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 …
A very brief introduction to machine learning with applications to communication systems
O Simeone - IEEE Transactions on Cognitive Communications …, 2018 - ieeexplore.ieee.org
Given the unprecedented availability of data and computing resources, there is widespread
renewed interest in applying data-driven machine learning methods to problems for which …
renewed interest in applying data-driven machine learning methods to problems for which …
A survey on mobile edge networks: Convergence of computing, caching and communications
As the explosive growth of smart devices and the advent of many new applications, traffic
volume has been growing exponentially. The traditional centralized network architecture …
volume has been growing exponentially. The traditional centralized network architecture …
Joint optimization of caching, computing, and radio resources for fog-enabled IoT using natural actor–critic deep reinforcement learning
The cloud-based Internet of Things (IoT) develops rapidly but suffer from large latency and
backhaul bandwidth requirement, the technology of fog computing and caching has …
backhaul bandwidth requirement, the technology of fog computing and caching has …
Potentials, trends, and prospects in edge technologies: Fog, cloudlet, mobile edge, and micro data centers
Advancements in smart devices, wearable gadgets, sensors, and communication paradigm
have enabled the vision of smart cities, pervasive healthcare, augmented reality and …
have enabled the vision of smart cities, pervasive healthcare, augmented reality and …
Deep-reinforcement-learning-based optimization for cache-enabled opportunistic interference alignment wireless networks
Both caching and interference alignment (IA) are promising techniques for next-generation
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …
wireless networks. Nevertheless, most of the existing works on cache-enabled IA wireless …
Device-enhanced MEC: Multi-access edge computing (MEC) aided by end device computation and caching: A survey
Multi-access edge computing (MEC) has recently been proposed to aid mobile end devices
in providing compute-and data-intensive services with low latency. Growing service …
in providing compute-and data-intensive services with low latency. Growing service …
The role of caching in future communication systems and networks
This paper has the following ambitious goal: to convince the reader that content caching is
an exciting research topic for the future communication systems and networks. Caching has …
an exciting research topic for the future communication systems and networks. Caching has …