Deep learning aided grant-free NOMA toward reliable low-latency access in tactile Internet of Things

N Ye, X Li, H Yu, A Wang, W Liu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Tactile Internet of Things (IoT) requires ultraresponsive and ultrareliable connections for
massive IoT devices. As a promising enabler of tactile IoT, grant-free nonorthogonal multiple …

Tactile internet for smart communities in 5G: An insight for NOMA-based solutions

I Budhiraja, S Tyagi, S Tanwar, N Kumar… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
In the last few years, there has been an exponential increase in the deployment of 5G-based
test beds across the globe with an aim to reduce the latency for accessing various …

Tactile internet for autonomous vehicles: Latency and reliability analysis

S Tanwar, S Tyagi, I Budhiraja… - IEEE Wireless …, 2019 - ieeexplore.ieee.org
In the Industry 4.0 era, the automobile industry manufactures safe, reliable, Internet-enabled
vehicles for usage by end users. This revolution is possible with the rapid advances in ICT …

NOMA aided narrowband IoT for machine type communications with user clustering

A Shahini, N Ansari - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
To support machine type communications (MTCs) in next generation mobile networks,
Narrowband-Internet of Things (NB-IoT) has been released by the third generation …

Transmit power pool design for grant-free NOMA-IoT networks via deep reinforcement learning

M Fayaz, W Yi, Y Liu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Grant-free non-orthogonal multiple access (GF-NOMA) is a potential multiple access
framework for short-packet internet-of-things (IoT) networks to enhance connectivity …

NOMA assisted multi-task multi-access mobile edge computing via deep reinforcement learning for industrial Internet of Things

L Qian, Y Wu, F Jiang, N Yu, W Lu… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Multiaccess mobile edge computing (MA-MEC) has been envisioned as one of the key
approaches for enabling computation-intensive yet delay-sensitive services in future …

Multi-agent deep reinforcement learning for massive access in 5G and beyond ultra-dense NOMA system

Z Shi, J Liu, S Zhang, N Kato - IEEE Transactions on Wireless …, 2021 - ieeexplore.ieee.org
With the rapid development of machine-type communications (MTC), the future
communication architecture needs to provide services for both human-type communications …

Deep cognitive perspective: Resource allocation for NOMA-based heterogeneous IoT with imperfect SIC

M Liu, T Song, G Gui - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
The Internet of Things (IoT) has attracted significant attentions in the fifth generation mobile
networks and the smart cities. However, considering the large numbers of connectivity …

[图书][B] Non-orthogonal multiple access for massive connectivity

Y Liu, Z Qin, Z Ding - 2020 - Springer
In this book, we discuss NOMA and the various issues in NOMA networks, including
capability, sustainability, and security. This book starts from the basics and key techniques of …

Enhancing physical-layer security for IoT with nonorthogonal multiple access assisted semi-grant-free transmission

K Cao, H Ding, B Wang, L Lv, J Tian… - IEEE Internet of …, 2022 - ieeexplore.ieee.org
Nonorthogonal multiple access (NOMA) assisted semi-grant-free transmission admits grant-
free users to access the channels otherwise solely occupied by grant-based users, and has …