[HTML][HTML] Machine learning-based zero-touch network and service management: A survey

J Gallego-Madrid, R Sanchez-Iborra, PM Ruiz… - Digital Communications …, 2022 - Elsevier
The exponential growth of mobile applications and services during the last years has
challenged the existing network infrastructures. Consequently, the arrival of multiple …

From 5G to 6G technology: meets energy, internet-of-things and machine learning: a survey

MN Mahdi, AR Ahmad, QS Qassim, H Natiq… - Applied Sciences, 2021 - mdpi.com
Due to the rapid development of the fifth-generation (5G) applications, and increased
demand for even faster communication networks, we expected to witness the birth of a new …

A survey on NB-IoT random access: approaches for uplink radio access network congestion management

L Iiyambo, G Hancke, AM Abu-Mahfouz - IEEE Access, 2024 - ieeexplore.ieee.org
Narrowband Internet of Things (NB-IoT) is one of the most promising technologies for
enabling reliable communication among low-power, and low cost devices present in …

Edge based priority-aware dynamic resource allocation for Internet of Things networks

Z Ali, KN Qureshi, K Mustafa, R Bukhsh, S Aslam… - Entropy, 2022 - mdpi.com
The exponential growth of the edge-based Internet-of-Things (IoT) services and its
ecosystems has recently led to a new type of communication network, the Low Power Wide …

Intelligent multi-connectivity based energy-efficient framework for smart city

B Priya, J Malhotra - Journal of Network and Systems Management, 2023 - Springer
Smart city enhances the intelligence and sustainability of the city assets through advanced
and diversified applications characterised by specific Quality of Service requirements. To …

Optimal transmission policy derivation for IoNT flow-guided nano-sensor networks

S Canovas-Carrasco, RM Sandoval… - IEEE Internet of …, 2019 - ieeexplore.ieee.org
By empowering the Internet of Things (IoT) with nanoscale communications, thousands of
small devices, called nano-nodes, are enabled to monitor complex environments in a …

Machine learning-based radio access technology selection in the Internet of moving things

R Sanchez-Iborra, L Bernal-Escobedo… - China …, 2021 - ieeexplore.ieee.org
The Internet of Moving Things (IoMT) takes a step further with respect to traditional static IoT
deployments. In this line, the integration of new eco-friendly mobility devices such as …

A reinforcement learning-based framework for the exploitation of multiple RATs in the IoT

RM Sandoval, S Canovas-Carrasco… - IEEE …, 2019 - ieeexplore.ieee.org
The IoT is the cornerstone of many innovating processes such as those behind Smart Cities
and Smart Industries. As more and more wireless IoT devices are deployed, a newer, more …

aBRSL: AI based bilateral RAT selection framework for next-generation wireless networks

B Priya, J Malhotra, K Singh - Multimedia Tools and Applications, 2024 - Springer
Next-generation wireless networks (NGWNs) are moving towards a more advanced and
exemplary environment encompassing data-intensive, delay-sensitive and energy-efficient …

Hybrid solution for smart rural applications in areas without internet coverage

LM Bartolín-Arnau, D Todoli-Ferrandis… - … Journal of Sensor …, 2022 - inderscienceonline.com
Agriculture and livestock farming are one of the main economic bases of rural areas in
Southern Europe, with many classified as' sparsely populated'. This article proposes and …