Revolution or evolution? Technical requirements and considerations towards 6G mobile communications

S Alraih, I Shayea, M Behjati, R Nordin, NF Abdullah… - Sensors, 2022 - mdpi.com
Ever since the introduction of fifth generation (5G) mobile communications, the mobile
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …

The role of machine learning and the internet of things in smart buildings for energy efficiency

SFA Shah, M Iqbal, Z Aziz, TA Rana, A Khalid… - Applied Sciences, 2022 - mdpi.com
Machine learning can be used to automate a wide range of tasks. Smart buildings, which
use the Internet of Things (IoT) to connect building operations, enable activities, such as …

A survey of machine learning for indoor positioning

A Nessa, B Adhikari, F Hussain, XN Fernando - IEEE access, 2020 - ieeexplore.ieee.org
Widespread proliferation of wireless coverage has enabled culmination of number of
advanced location-based services (LBS). Continuous tracking of accurate physical location …

Improved Slime Mould Algorithm based on Firefly Algorithm for feature selection: A case study on QSAR model

AA Ewees, L Abualigah, D Yousri, ZY Algamal… - Engineering with …, 2021 - Springer
Feature selection (FS) methods are necessary to develop intelligent analysis tools that
require data preprocessing and enhancing the performance of the machine learning …

6G wireless communications: Future technologies and research challenges

S Elmeadawy, RM Shubair - 2019 international conference on …, 2019 - ieeexplore.ieee.org
5G wireless communications technology is being launched, with many smart applications
being integrated. However, 5G specifications meagre the requirements of new emerging …

Machine learning for advanced wireless sensor networks: A review

T Kim, LF Vecchietti, K Choi, S Lee… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
Wireless sensor networks (WSNs) are typically used with dynamic conditions of task-related
environments for sensing (monitoring) and gathering of raw sensor data for subsequent …

Indoor localization using data augmentation via selective generative adversarial networks

W Njima, M Chafii, A Chorti, RM Shubair… - IEEE access, 2021 - ieeexplore.ieee.org
Several location-based services require accurate location information in indoor
environments. Recently, it has been shown that deep neural network (DNN) based received …

Localization as a key enabler of 6G wireless systems: A comprehensive survey and an outlook

SE Trevlakis, AAA Boulogeorgos… - IEEE Open Journal …, 2023 - ieeexplore.ieee.org
When fully implemented, sixth generation (6G) wireless systems will constitute intelligent
wireless networks that enable not only ubiquitous communication but also high-accuracy …

A comprehensive survey of machine learning based localization with wireless signals

D Burghal, AT Ravi, V Rao, AA Alghafis… - arXiv preprint arXiv …, 2020 - arxiv.org
The last few decades have witnessed a growing interest in location-based services. Using
localization systems based on Radio Frequency (RF) signals has proven its efficacy for both …

Leveraging AI‐enabled 6G‐driven IoT for sustainable smart cities

B Gera, YS Raghuvanshi, O Rawlley… - International Journal …, 2023 - Wiley Online Library
Many scholastic researches have begun around the globe about the competitive
technological interventions like 5G communication networks and its challenges. The …