A tutorial on ultrareliable and low-latency communications in 6G: Integrating domain knowledge into deep learning
As one of the key communication scenarios in the fifth-generation and also the sixth-
generation (6G) mobile communication networks, ultrareliable and low-latency …
generation (6G) mobile communication networks, ultrareliable and low-latency …
Mathematical modeling for network selection in heterogeneous wireless networks—A tutorial
L Wang, GSGS Kuo - IEEE Communications Surveys & …, 2012 - ieeexplore.ieee.org
In heterogeneous wireless networks, an important task for mobile terminals is to select the
best network for various communications at any time anywhere, usually called network …
best network for various communications at any time anywhere, usually called network …
Self-paced learning for long-term tracking
JS Supancic, D Ramanan - Proceedings of the IEEE …, 2013 - openaccess.thecvf.com
We address the problem of long-term object tracking, where the object may become
occluded or leave-the-view. In this setting, we show that an accurate appearance model is …
occluded or leave-the-view. In this setting, we show that an accurate appearance model is …
A vertical handoff method via self-selection decision tree for internet of vehicles
Vehicles often communicate among different networks in Internet of Vehicles (IoVs).
However, existing unstable network statuses and different user preferences result in vehicle …
However, existing unstable network statuses and different user preferences result in vehicle …
Wireless power transfer and data collection in wireless sensor networks
In a rechargeable wireless sensor network, the data packets are generated by sensor nodes
at a specific data rate, and transmitted to a base station. Moreover, the base station transfers …
at a specific data rate, and transmitted to a base station. Moreover, the base station transfers …
A hybrid intelligent model for network selection in the industrial Internet of Things
Abstract Industrial Internet of Things (IIoT) plays an important role in increasing productivity
and efficiency in heterogeneous wireless networks. However, different domains such as …
and efficiency in heterogeneous wireless networks. However, different domains such as …
Reinforcement learning for scheduling wireless powered sensor communications
In a wireless powered sensor network, a base station transfers power to sensors by using
wireless power transfer (WPT). Inadequately scheduling WPT and data transmission causes …
wireless power transfer (WPT). Inadequately scheduling WPT and data transmission causes …
Dynamic handoff decision in heterogeneous wireless systems: Q-learning approach
H Tabrizi, G Farhadi, J Cioffi - 2012 IEEE international …, 2012 - ieeexplore.ieee.org
The satisfaction of a mobile user in a heterogeneous wireless environment relies heavily on
the appropriate choice of network. With the presence of various wireless technologies and …
the appropriate choice of network. With the presence of various wireless technologies and …
Network selection in heterogeneous wireless networks based on fuzzy multiple criteria decision making
K Radhika, AVG Reddy - 2011 3rd International Conference on …, 2011 - ieeexplore.ieee.org
Next generation wireless networks are expected to exhibit heterogeneity in terms of wireless
access technologies, services and application requirements. These heterogeneous wireless …
access technologies, services and application requirements. These heterogeneous wireless …
An MDP-based vertical handoff decision algorithm for heterogeneous wireless networks
L Chen, H Li - 2016 IEEE wireless communications and …, 2016 - ieeexplore.ieee.org
The heterogeneity is one of the key characteristics of the future wireless networks. How to
provide terminal users with the best connection anytime and anywhere become more …
provide terminal users with the best connection anytime and anywhere become more …