A survey on resource allocation for 5G heterogeneous networks: Current research, future trends, and challenges

Y Xu, G Gui, H Gacanin, F Adachi - … Communications Surveys & …, 2021 - ieeexplore.ieee.org
In the fifth-generation (5G) mobile communication system, various service requirements of
different communication environments are expected to be satisfied. As a new evolution …

An overview of load balancing in HetNets: Old myths and open problems

JG Andrews, S Singh, Q Ye, X Lin… - IEEE Wireless …, 2014 - ieeexplore.ieee.org
Matching the demand for resources (" load") with the supply of resources (" capacity") is a
basic problem occurring across many fields of engineering, logistics, and economics, and …

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 …

AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

Deep reinforcement learning for dynamic multichannel access in wireless networks

S Wang, H Liu, PH Gomes… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
We consider a dynamic multichannel access problem, where multiple correlated channels
follow an unknown joint Markov model and users select the channel to transmit data. The …

Offloading in heterogeneous networks: Modeling, analysis, and design insights

S Singh, HS Dhillon, JG Andrews - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Pushing data traffic from cellular to WiFi is an example of inter radio access technology
(RAT) offloading. While this clearly alleviates congestion on the over-loaded cellular …

Mobility-aware task scheduling in cloud-Fog IoT-based healthcare architectures

RM Abdelmoneem, A Benslimane, E Shaaban - Computer networks, 2020 - Elsevier
Healthcare applications are distinguished by being critical and time sensitive. Multiple
healthcare applications have been implemented through Internet of Things (IoT) technology …

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 …

A survey of vertical handover decision algorithms in Fourth Generation heterogeneous wireless networks

X Yan, YA Şekercioğlu, S Narayanan - Computer networks, 2010 - Elsevier
Vertical handover decision (VHD) algorithms are essential components of the architecture of
the forthcoming Fourth Generation (4G) heterogeneous wireless networks. These algorithms …

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 …