Distributed Q-learning aided heterogeneous network association for energy-efficient IIoT

J Wang, C Jiang, K Zhang, X Hou… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
To achieve the goal of “Industrial 4.0,” cellular network with wide coverage has gradually
become an intensely important carrier for industrial Internet of Things (IIoT). The fifth …

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 …

An empirical path loss model and fading analysis for high-speed railway viaduct scenarios

R He, Z Zhong, B Ai, J Ding - IEEE antennas and wireless …, 2011 - ieeexplore.ieee.org
Based on the narrowband 930-MHz measurements taken along the “Zhengzhou-Xi'an” high-
speed railway in China, an empirical path loss model is proposed. It is applicable to high …

Interference mitigation in HetNets to improve the QoS using Q-learning

MU Iqbal, EA Ansari, S Akhtar - IEEE Access, 2021 - ieeexplore.ieee.org
Small cells (SCs) based ultra-dense heterogeneous networks (HetNets) are one of the
promising solutions for increased coverage and capacity in 5G cellular networks. However …

[HTML][HTML] Large-scale dataset for the analysis of outdoor-to-indoor propagation for 5g mid-band operational networks

U Ali, G Caso, L De Nardis, K Kousias, M Rajiullah… - Data, 2022 - mdpi.com
Understanding radio propagation characteristics and developing channel models is
fundamental to building and operating wireless communication systems. Among others …

Channel modeling and over-the-air signal quality at 3.5 GHz for 5G new radio

EI Adegoke, E Kampert, MD Higgins - IEEE Access, 2021 - ieeexplore.ieee.org
With the next generation of mobile communication being trialled across the world, 5G New
Radio (NR) promises to provide a flexible radio interface that fits a diverse range of use …

Improving the performance of tasks offloading for internet of vehicles via deep reinforcement learning methods

T Wang, X Luo, W Zhao - IET communications, 2022 - Wiley Online Library
With the rapid development of communication technologies, the quality of our daily life has
been improved with the applications of smart communications and networking, such as …

Interference modeling and performance evaluation of heterogeneous cellular networks

M Mirahmadi, A Al-Dweik… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
This work considers the development of a realistic statistical model to represent the
interference in heterogeneous wireless networks. The considered networks are comprised …

Analysis of the relation between Fresnel zone and path loss exponent based on two-ray model

R He, Z Zhong, B Ai, J Ding… - IEEE Antennas and …, 2012 - ieeexplore.ieee.org
In this letter, the underlying factor that leads to the change of path loss exponent n is
investigated, using a reasonable and reliable indirect demonstration that is based on the …

Sub 1GHz wireless LAN propagation path loss models for urban smart grid applications

S Aust, T Ito - 2012 International Conference on Computing …, 2012 - ieeexplore.ieee.org
A study of Sub 1GHz urban path loss models is presented in this paper. This particular
frequency band provides optimal transmission characteristics for wireless communication …