Distributed machine learning for wireless communication networks: Techniques, architectures, and applications

S Hu, X Chen, W Ni, E Hossain… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
Distributed machine learning (DML) techniques, such as federated learning, partitioned
learning, and distributed reinforcement learning, have been increasingly applied to wireless …

AI-assisted low information latency wireless networking

Z Jiang, S Fu, S Zhou, Z Niu… - IEEE Wireless …, 2020 - ieeexplore.ieee.org
The 5G Phase-2 and beyond wireless systems will focus more on vertical applications such
as autonomous driving and the Industrial Internet of Things, many of which are categorized …

Sensing and communication co-design for status update in multiaccess wireless networks

F Peng, Z Jiang, S Zhou, Z Niu… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The sensing and communication layers are both integral parts of the Internet-of-Things. Most
of recent studies on sensory status update treat the information sensing and sensory data …

Minimizing Age of Information in Non-orthogonal Random Access Networks

Y Liu, LX Cai, Q Chen, H Zhang, F Hou… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
In this paper, we aim to minimize the age of information (AoI) for a random access internet of
things (IoT) network, where AoI is a metric to measure the freshness of information delivery …

Delay-Constrained Grant-Free Random Access in MIMO Systems: Distributed Pilot Allocation and Power Control

J Bai, Z Chen, EG Larsson - IEEE Transactions on Cognitive …, 2024 - ieeexplore.ieee.org
We study a delay-constrained grant-free random access system with a multi-antenna base
station. The users randomly generate data packets with expiration deadlines, which are then …

Online learning of optimal proactive schedule based on outdated knowledge for energy harvesting powered Internet-of-Things

X Lyu, C Ren, W Ni, H Tian, Q Cui… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper aims to produce an effective online scheduling technique, where a base station
(BS) schedules the transmissions of energy harvesting-powered Internet-of-Things (IoT) …

SMART: Situationally-aware multi-agent reinforcement learning-based transmissions

Z Jiang, Y Liu, J Hribar, LA DaSilva… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
In future wireless systems, latency of information needs to be minimized to satisfy the
requirements of many mission-critical applications. Meanwhile, not all terminals carry …