Recent advancements and challenges of AIoT application in smart agriculture: A review
As the most popular technologies of the 21st century, artificial intelligence (AI) and the
internet of things (IoT) are the most effective paradigms that have played a vital role in …
internet of things (IoT) are the most effective paradigms that have played a vital role in …
[HTML][HTML] Internet of robotic things for mobile robots: concepts, technologies, challenges, applications, and future directions
Abstract Nowadays, Multi Robotic System (MRS) consisting of different robot shapes, sizes
and capabilities has received significant attention from researchers and are being deployed …
and capabilities has received significant attention from researchers and are being deployed …
Analysis of network slicing for management of 5G networks using machine learning techniques
R Singh, A Mehbodniya, JL Webber… - Wireless …, 2022 - Wiley Online Library
Consumer expectations and demands for quality of service (QoS) from network service
providers have risen as a result of the proliferation of devices, applications, and services. An …
providers have risen as a result of the proliferation of devices, applications, and services. An …
Smart congestion control in 5g/6g networks using hybrid deep learning techniques
With the mobility and ease of connection, wireless sensor networks have played a significant
role in communication over the last few years, making them a significant data carrier across …
role in communication over the last few years, making them a significant data carrier across …
Machine learning in network slicing—a survey
5G and beyond networks are expected to support a wide range of services, with highly
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
diverse requirements. Yet, the traditional “one-size-fits-all” network architecture lacks the …
Reinforcement learning in the sky: A survey on enabling intelligence in ntn-based communications
Non terrestrial networks (NTN) involving 'in the sky'objects such as low-earth orbit satellites,
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected …
At the Dawn of Generative AI Era: A tutorial-cum-survey on new frontiers in 6G wireless intelligence
A Celik, AM Eltawil - IEEE Open Journal of the …, 2024 - ieeexplore.ieee.org
As we transition from the 5G epoch, a new horizon beckons with the advent of 6G, seeking a
profound fusion with novel communication paradigms and emerging technological trends …
profound fusion with novel communication paradigms and emerging technological trends …
Network slicing based learning techniques for iov in 5g and beyond networks
The effects of transport development on people's lives are diverse, ranging from economy to
tourism, health care, etc. Great progress has been made in this area, which has led to the …
tourism, health care, etc. Great progress has been made in this area, which has led to the …
Original Research Article From tradition to innovation: The telecommunications metamorphosis with AI and advanced technologies
K Slimani, S Khoulji, A Mortreau… - Journal of Autonomous …, 2024 - jai.front-sci.com
Businesses in the telecommunications industry provide global communication using a
variety of channels, including but not limited to mobile phones, landlines, satellites, the …
variety of channels, including but not limited to mobile phones, landlines, satellites, the …
Deep reinforcement learning approaches to network slice scaling and placement: A survey
N Saha, M Zangooei, M Golkarifard… - IEEE Communications …, 2023 - ieeexplore.ieee.org
Network slicing in 5G and beyond networks allows the network to be customized for each
application or service by chaining together different virtualized network functions (VNFs) …
application or service by chaining together different virtualized network functions (VNFs) …