Revolution or evolution? Technical requirements and considerations towards 6G mobile communications
Ever since the introduction of fifth generation (5G) mobile communications, the mobile
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …
telecommunications industry has been debating whether 5G is an “evolution” or “revolution” …
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 …
being integrated. However, 5G specifications meagre the requirements of new emerging …
Classification of indoor environments for IoT applications: A machine learning approach
Evolving Internet-of-Things (IoT) applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by classifying …
tracking and positioning, for which the performance is significantly improved by classifying …
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 …
technological interventions like 5G communication networks and its challenges. The …
Indoor localization for IoT using adaptive feature selection: A cascaded machine learning approach
Evolving Internet-of-things applications often require the use of sensor-based indoor
tracking and positioning, for which the performance is significantly improved by identifying …
tracking and positioning, for which the performance is significantly improved by identifying …
A novel real-time deep learning approach for indoor localization based on RF environment identification
Internet-of-Things (IoT) applications often require the use of sensor-based indoor tracking
and positioning, for which the performance is significantly enhanced by identifying the type …
and positioning, for which the performance is significantly enhanced by identifying the type …
Improving fingerprint indoor localization using convolutional neural networks
D Sun, E Wei, L Yang, S Xu - IEEE Access, 2020 - ieeexplore.ieee.org
Two obstacles lie in the traditional Signal Strength Fingerprint Positioning method. Initially,
the algorithm cannot converge quickly and accurately due to massive data generated by …
the algorithm cannot converge quickly and accurately due to massive data generated by …
Proactive approach for preamble detection in 5g-nr prach using supervised machine learning and ensemble model
The physical random access channel (PRACH) is used in the uplink of cellular systems for
initial access requests from the users. It is very hard to achieve low latency by implementing …
initial access requests from the users. It is very hard to achieve low latency by implementing …
Enabling technologies for 6G future wireless communications: Opportunities and challenges
S Elmeadawy, RM Shubair - arXiv preprint arXiv:2002.06068, 2020 - arxiv.org
5G wireless communications technology is being launched, with many smart applications
being integrated. However, 5G specifications merge the requirements of new emerging …
being integrated. However, 5G specifications merge the requirements of new emerging …
Channel scenario extensions, identifications, and adaptive modeling for 6G wireless communications
To provide customized high-quality services for all users in the sixth-generation (6G)
wireless communication systems, it is fundamental to study all 6G channel scenarios and …
wireless communication systems, it is fundamental to study all 6G channel scenarios and …