Wi-Fi meets ML: A survey on improving IEEE 802.11 performance with machine learning
Wireless local area networks (WLANs) empowered by IEEE 802.11 (Wi-Fi) hold a dominant
position in providing Internet access thanks to their freedom of deployment and configuration …
position in providing Internet access thanks to their freedom of deployment and configuration …
Small cells in the forthcoming 5G/IoT: Traffic modelling and deployment overview
F Al-Turjman, E Ever… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
This paper provides an overview of the use of small cells (eg, femtocells) in the Internet of
Things (IoT) environments. As a result of rapid increase in the number of mobile connected …
Things (IoT) environments. As a result of rapid increase in the number of mobile connected …
Multi-agent deep reinforcement learning for dynamic power allocation in wireless networks
This work demonstrates the potential of deep reinforcement learning techniques for transmit
power control in wireless networks. Existing techniques typically find near-optimal power …
power control in wireless networks. Existing techniques typically find near-optimal power …
Learning radio resource management in RANs: Framework, opportunities, and challenges
In the fifth generation (5G) of mobile broadband systems, radio resource management
(RRM) will reach unprecedented levels of complexity. To cope with the ever more …
(RRM) will reach unprecedented levels of complexity. To cope with the ever more …
A machine learning approach for power allocation in HetNets considering QoS
R Amiri, H Mehrpouyan, L Fridman… - 2018 IEEE …, 2018 - ieeexplore.ieee.org
There is an increase in usage of smaller cells or femtocells to improve performance and
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
coverage of next-generation heterogeneous wireless networks (HetNets). However, the …
Learning-based prediction, rendering and association optimization for MEC-enabled wireless virtual reality (VR) networks
Wireless-connected Virtual Reality (VR) provides immersive experience for VR users from
anywhere at anytime. However, providing wireless VR users with seamless connectivity and …
anywhere at anytime. However, providing wireless VR users with seamless connectivity and …
Learning based frequency-and time-domain inter-cell interference coordination in HetNets
In this paper, we focus on inter-cell interference coordination (ICIC) techniques in
heterogeneous network (HetNet) deployments, whereby macro-and picocells autonomously …
heterogeneous network (HetNet) deployments, whereby macro-and picocells autonomously …
A survey on applications of model-free strategy learning in cognitive wireless networks
The framework of cognitive wireless networks is expected to endow the wireless devices
with the cognition-intelligence ability with which they can efficiently learn and respond to the …
with the cognition-intelligence ability with which they can efficiently learn and respond to the …
Low-latency communications for community resilience microgrids: A reinforcement learning approach
Machine learning and artificial intelligence (AI) techniques can play a key role in resource
allocation and scheduler design in wireless networks that target applications with stringent …
allocation and scheduler design in wireless networks that target applications with stringent …
Q-learning-based adaptive power control in wireless RF energy harvesting heterogeneous networks
This article investigates adaptive power control in wireless radio frequency energy
harvesting (EH) femtocell heterogeneous networks (HetNets), where some EH devices …
harvesting (EH) femtocell heterogeneous networks (HetNets), where some EH devices …