Artificial neural networks-based machine learning for wireless networks: A tutorial

M Chen, U Challita, W Saad, C Yin… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …

Fog and IoT: An overview of research opportunities

M Chiang, T Zhang - IEEE Internet of things journal, 2016 - ieeexplore.ieee.org
Fog is an emergent architecture for computing, storage, control, and networking that
distributes these services closer to end users along the cloud-to-things continuum. It covers …

[PDF][PDF] Machine learning for wireless networks with artificial intelligence: A tutorial on neural networks

M Chen, U Challita, W Saad, C Yin… - arxiv preprint arxiv …, 2017 - researchgate.net
Next-generation wireless networks must support ultra-reliable, low-latency communication
and intelligently manage a massive number of Internet of Things (IoT) devices in real-time …

Traffic and computation co-offloading with reinforcement learning in fog computing for industrial applications

Y Wang, K Wang, H Huang… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
In the past decade, network data communication has experienced a rapid growth, which has
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …

Fog computing: An overview of big IoT data analytics

MR Anawar, S Wang, M Azam Zia… - Wireless …, 2018 - Wiley Online Library
A huge amount of data, generated by Internet of Things (IoT), is growing up exponentially
based on nonstop operational states. Those IoT devices are generating an avalanche of …

Proactive resource management for LTE in unlicensed spectrum: A deep learning perspective

U Challita, L Dong, W Saad - IEEE transactions on wireless …, 2018 - ieeexplore.ieee.org
Performing cellular long term evolution (LTE) communications in unlicensed spectrum using
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …

Dynamic cloud pricing for revenue maximization

H Xu, B Li - IEEE Transactions on Cloud Computing, 2013 - ieeexplore.ieee.org
In cloud computing, a provider leases its computing resources in the form of virtual machines
to users, and a price is charged for the period they are used. Though static pricing is the …

How to bid the cloud

L Zheng, C Joe-Wong, CW Tan, M Chiang… - ACM SIGCOMM …, 2015 - dl.acm.org
Amazon's Elastic Compute Cloud (EC2) uses auction-based spot pricing to sell spare
capacity, allowing users to bid for cloud resources at a highly reduced rate. Amazon sets the …

A survey of smart data pricing: Past proposals, current plans, and future trends

S Sen, C Joe-Wong, S Ha, M Chiang - Acm computing surveys (csur), 2013 - dl.acm.org
Traditionally, network operators have used simple flat-rate broadband data plans for both
wired and wireless network access. But today, with the popularity of mobile devices and …

Applications of economic and pricing models for resource management in 5G wireless networks: A survey

NC Luong, P Wang, D Niyato, YC Liang… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
This paper presents a comprehensive literature review on applications of economic and
pricing theory for resource management in the evolving fifth generation (5G) wireless …