Deep learning in mobile and wireless networking: A survey

C Zhang, P Patras, H Haddadi - IEEE Communications surveys …, 2019 - ieeexplore.ieee.org
The rapid uptake of mobile devices and the rising popularity of mobile applications and
services pose unprecedented demands on mobile and wireless networking infrastructure …

Predictive estimation of the optimal signal strength from unmanned aerial vehicle over internet of things using ANN

SH Alsamhi, O Ma, MS Ansari - arXiv preprint arXiv:1805.07614, 2018 - arxiv.org
This paper proposes an intelligent technique for maximizing the network connectivity and
provisioning desired quality of service (QoS) of integration of internet of things (IoT) and …

AI meets CRNs: A prospective review on the application of deep architectures in spectrum management

MC Hlophe, BT Maharaj - IEEE Access, 2021 - ieeexplore.ieee.org
The spectrum low utilization and high demand conundrum created a bottleneck towards
fulfilling the requirements of next-generation networks. The cognitive radio (CR) technology …

[HTML][HTML] A hybrid adaptive approach to improve position tracking measurements

MK Ardakani, SM Fatemi, HR Hamidi… - ICT Express, 2020 - Elsevier
Position tracking of a user or an object has caught many researchers and entrepreneurs'
attention. It has a significant market opportunity as well as applications in daily life such as …

Artificial neural network performance evaluation for a hybrid power domain orthogonal/non-orthogonal multiple access (OMA/NOMA) system

JD Belesaca, P Avila-Campos… - Proceedings of the 17th …, 2020 - dl.acm.org
Next-generation wireless technologies face considerable challenges in terms of providing
the required latency and connectivity for new heterogeneous mobile networks. Driven by …

A survey of deep learning for tactical wireless networks

W Pawgasame - 2018 5th Asian Conference on Defense …, 2018 - ieeexplore.ieee.org
A tactical wireless network is a military radio communication network supporting mission-
critical applications. Hence, a tactical wireless network demands more reliability, availability …

Improving Weighted Multiple Linear Regression Algorithm for Radiolocation Estimation in LoRaWAN

UN Nwawelu, MA Ahaneku… - International Journal of …, 2022 - igi-global.com
In location based services, Weighted Multiple Linear Regression (WMLR) algorithm is used
for radio device position estimation. Nevertheless, WMLR provides coarse location estimate …

Review on Deep Learning in Wireless Communication Networks

Shewangi, R Garg - International Conference on Next Generation Systems …, 2022 - Springer
Internet-connected mobile devices are increasing day by day in almost every domain which
created a surge in mobile data traffic so an advanced system is highly needed that can …

Weighted Multiple Linear Regression Model for Mobile Location Estimation in GSM Network

LS Ezema, CI Ani - International Journal of Interdisciplinary …, 2020 - igi-global.com
The numbers of crimes and accidents, among other challenging issues, requiring a mobile
application with localization capabilities are on the increase. Yet there is under-utilization of …

Artificial Intelligence Techniques for Mobile Station Location Estimation

O Semenova, A Semenov… - … Systems and Internet …, 2023 - journals.chnu.edu.ua
Modern wireless communication systems require positioning functions, which provide are
automatic location estimation of stations within a network. However, when new networks are …