Artificial neural networks-based machine learning for wireless networks: A tutorial
In order to effectively provide ultra reliable low latency communications and pervasive
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
connectivity for Internet of Things (IoT) devices, next-generation wireless networks can …
Fog and IoT: An overview of research opportunities
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 …
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
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 …
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
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 …
led to explosive congestion in heterogeneous networks. Moreover, the emerging industrial …
Fog computing: An overview of big IoT data analytics
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 …
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
Performing cellular long term evolution (LTE) communications in unlicensed spectrum using
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …
licensed assisted access LTE (LTE-LAA) is a promising approach to overcome wireless …
Dynamic cloud pricing for revenue maximization
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 …
to users, and a price is charged for the period they are used. Though static pricing is the …
How to bid the cloud
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 …
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
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 …
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
This paper presents a comprehensive literature review on applications of economic and
pricing theory for resource management in the evolving fifth generation (5G) wireless …
pricing theory for resource management in the evolving fifth generation (5G) wireless …