Machine learning in beyond 5G/6G networks—State-of-the-art and future trends
Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
role in realizing and optimizing 6G network applications. In this paper, we present a brief …
A comprehensive survey of the tactile internet: State-of-the-art and research directions
N Promwongsa, A Ebrahimzadeh… - … Surveys & Tutorials, 2020 - ieeexplore.ieee.org
The Internet has made several giant leaps over the years, from a fixed to a mobile Internet,
then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far …
then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far …
Design of edge computing for 5g-enabled tactile internet-based industrial applications
RWL Coutinho, A Boukerche - IEEE Communications Magazine, 2022 - ieeexplore.ieee.org
5G-enabled Tactile Internet (TI) will rely on sensors, actuators, and ultra-reliable and
ultralow latency communication for providing haptic human-machine interaction services …
ultralow latency communication for providing haptic human-machine interaction services …
Realtime mobile bandwidth and handoff predictions in 4G/5G networks
Mobile apps are increasingly relying on high-throughput and low-latency content delivery,
while the available bandwidth on wireless access links is inherently time-varying. The …
while the available bandwidth on wireless access links is inherently time-varying. The …
IoT traffic shaping and the massive access problem
E Gelenbe, K Sigman - ICC 2022-IEEE International …, 2022 - ieeexplore.ieee.org
IoT gateways aim to meet the deadlines and QoS needs of packets from as many IoT
devices as possible, though this can lead to a form of congestion known as the Massive …
devices as possible, though this can lead to a form of congestion known as the Massive …
Enhancing latency performance through intelligent bandwidth allocation decisions: a survey and comparative study of machine learning techniques
Converged access networks consolidating 5G and beyond and fixed optical fiber access are
expected to support future latency-sensitive human-to-machine applications over the Tactile …
expected to support future latency-sensitive human-to-machine applications over the Tactile …
Machine learning algorithm for delay prediction in iot and tactile internet
AR Abdellah, OA Mahmood, R Kirichek, A Paramonov… - Future Internet, 2021 - mdpi.com
The next-generation cellular systems, including fifth-generation cellular systems (5G), are
empowered with the recent advances in artificial intelligence (AI) and other recent …
empowered with the recent advances in artificial intelligence (AI) and other recent …
Towards a learning-based framework for self-driving design of networking protocols
HB Pasandi, T Nadeem - IEEE Access, 2021 - ieeexplore.ieee.org
Networking protocols are designed through long-standing and hard-working human efforts.
Machine Learning (ML)-based solutions for communication protocol design have been …
Machine Learning (ML)-based solutions for communication protocol design have been …
Time-aware deterministic bandwidth allocation scheme in TDM-PON for time-sensitive industrial flows
C Su, J Zhang, Y Ji - Journal of Optical Communications and …, 2023 - ieeexplore.ieee.org
A programmable logic controller deployed in the cloud or edge cloud (cloud PLC)
contributes to flexible and scalable industrial manufacturing processes. For the industrial …
contributes to flexible and scalable industrial manufacturing processes. For the industrial …
[HTML][HTML] Improving massive access to IoT gateways
IoT networks handle incoming packets from large numbers of IoT Devices (IoTDs) to IoT
Gateways. This can lead to the IoT Massive Access Problem that causes buffer overflow …
Gateways. This can lead to the IoT Massive Access Problem that causes buffer overflow …