Learning to demodulate from few pilots via offline and online meta-learning
This paper considers an Internet-of-Things (IoT) scenario in which devices sporadically
transmit short packets with few pilot symbols over a fading channel. Devices are …
transmit short packets with few pilot symbols over a fading channel. Devices are …
Edge-Assisted Intelligent Device Authentication in Cyber–Physical Systems
Cyber–physical system (CPS) provides a foundation for the Industrial Internet of Things
(IIoT) that interconnects all types of devices. The integration of CPS with IIoT generates the …
(IIoT) that interconnects all types of devices. The integration of CPS with IIoT generates the …
Federated inference with reliable uncertainty quantification over wireless channels via conformal prediction
In this paper, we consider a wireless federated inference scenario in which devices and a
server share a pre-trained machine learning model. The devices communicate statistical …
server share a pre-trained machine learning model. The devices communicate statistical …
Identifier-Driven Resource Orchestration With Quantum Computing for Differentiated Services in IoT-MMEC Networks
The prevalence of Artificial Intelligence and Multi-access Mobile Edge Computing (MMEC)
technologies has laid a solid foundation for next-generation Internet of Things (IoT) …
technologies has laid a solid foundation for next-generation Internet of Things (IoT) …
Dynamic resource configuration for low-power IoT networks: A multi-objective reinforcement learning method
Considering grant-free transmissions in low-power IoT networks with unknown time-
frequency distribution of interference, we address the problem of Dynamic Resource …
frequency distribution of interference, we address the problem of Dynamic Resource …
Joint source-channel coding for semantics-aware grant-free radio access in IoT fog networks
A fog-radio access network (F-RAN) architecture is studied for an Internet-of-Things (IoT)
system in which wireless sensors monitor a number of multi-valued events and transmit in …
system in which wireless sensors monitor a number of multi-valued events and transmit in …
Bandwidth-efficient multi-task AI inference with dynamic task importance for the Internet of Things in edge computing
J Zhang, W Zhang, J Xu - Computer Networks, 2022 - Elsevier
Over the past years, artificial intelligence (AI) models have been utilized for the Internet of
Things (IoT) in applications such as remote assistance based on augmented reality (AR) in …
Things (IoT) in applications such as remote assistance based on augmented reality (AR) in …
Multiple-relay slotted ALOHA: Performance analysis and bounds
Wireless random access protocols are attracting a revived research interest as a simple yet
effective solution for machine-type communications. In the quest to improve reliability and …
effective solution for machine-type communications. In the quest to improve reliability and …
Multi-agent deep stochastic policy gradient for event based dynamic spectrum access
We consider the dynamic spectrum access (DSA) problem where K Internet of Things (IoT)
devices compete for T time slots constituting a frame. Devices collectively monitor M events …
devices compete for T time slots constituting a frame. Devices collectively monitor M events …
Information bottleneck-inspired type based multiple access for remote estimation in IoT systems
Type-basedmultiple access (TBMA) is a semantics-aware multiple access protocol for
remote inference. In TBMA, codewords are reused across transmitting sensors, with each …
remote inference. In TBMA, codewords are reused across transmitting sensors, with each …