Radix-partition-based over-the-air aggregation and low-complexity state estimation for IoT systems over wireless fading channels
We consider remote state estimation for an internet-of-things (IoT) system, where a number
of distributed IoT sensors monitor a dynamic plant and deliver the state measurements to a …
of distributed IoT sensors monitor a dynamic plant and deliver the state measurements to a …
Over-the-air aggregation with multiple shared channels and graph-based state estimation for industrial IoT systems
We consider remote state estimation for an industrial Internet-of-Things (IoT) system, where
the plant dynamics are monitored by a number of distributed industrial IoT sensors. We …
the plant dynamics are monitored by a number of distributed industrial IoT sensors. We …
Unsourced Random Access for Distributed State Monitoring in Internet of Things
Distributed state monitoring is mission-critical in Internet of Things (IoT), in which multiple
sensors independently observe the system outputs at different locations and then send them …
sensors independently observe the system outputs at different locations and then send them …
Remote state estimation with asynchronous mission-critical IoT sensors
In this paper, we consider a mission-critical remote state estimation system with
asynchronous massive access of the IoT sensors. We focus on remote state estimation …
asynchronous massive access of the IoT sensors. We focus on remote state estimation …
Integrated Sensing and Communication-Assisted User State Refinement for OTFS Systems
Y Shi, Y Huang - IEEE Transactions on Wireless …, 2023 - ieeexplore.ieee.org
Orthogonal time frequency space (OTFS) modulation has been considered as one of the
most promising candidates to support reliable data transmission especially in high-mobility …
most promising candidates to support reliable data transmission especially in high-mobility …
Joint activity detection and channel estimation for IoT networks: Phase transition and computation-estimation tradeoff
Massive device connectivity is a crucial communication challenge for Internet of Things (IoT)
networks, which consist of a large number of devices with sporadic traffic. In each coherence …
networks, which consist of a large number of devices with sporadic traffic. In each coherence …
Data-aided sensing for Gaussian process regression in IoT systems
J Choi - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
In this article, for efficient data collection with limited bandwidth, data-aided sensing (DAS) is
applied to the Gaussian process regression (GPR) that is used to learn data sets collected …
applied to the Gaussian process regression (GPR) that is used to learn data sets collected …
Reduced-dimension design of MIMO AirComp for data aggregation in clustered IoT networks
One basic operation of Internet-of-Things (IoT) networks is to acquire a function of distributed
data collected from sensors over wireless channels, called wireless data aggregation …
data collected from sensors over wireless channels, called wireless data aggregation …
Localization with one-bit passive radars in narrowband internet-of-things using multivariate polynomial optimization
Several Internet-of-Things (IoT) applications provide location-based services, wherein it is
critical to obtain accurate position estimates by aggregating information from individual …
critical to obtain accurate position estimates by aggregating information from individual …
Remote estimation for dynamic iot sources under sublinear communication costs
We investigate a remote estimation system with communication cost for multiple Internet-of-
Things sensors, in which the state of each sensor changes according to a Wiener process …
Things sensors, in which the state of each sensor changes according to a Wiener process …