activity
20182021
most citedReliable Low Latency Wireless Communication Enabling Industrial Mobile Control and Safety Applications

3 citations · 4 across the 5 of their papers we have counts for

collaborators

5 papers

cs.IT2021

DNN-assisted Particle-based Bayesian Joint Synchronization and Localization

Meysam Goodarzi, Vladica Sark, Nebojsa Maletic +3

In this work, we propose a Deep neural network-assisted Particle Filter-based (DePF) approach to address the Mobile User (MU) joint synchronization and localization (sync\&loc) pro…

eess.SP2020

Bayesian Joint Synchronization and Localization Based on Asymmetric Time-stamp Exchange

Meysam Goodarzi, Nebojsa Maletic, Jesus Gutierrez +1

In this work, we study the joint synchronization and localization (sync&loc) of Mobile Nodes (MNs) in ultra dense networks. In particular, we deploy an asymmetric timestamp exchang…

eess.SY2020

A Hybrid Bayesian Approach Towards Clock Offset and Skew Estimation in 5G Networks

Meysam Goodarzi, Darko Cvetkovski, Nebojsa Maletic +2

In this work, we propose a hybrid Bayesian approach towards clock offset and skew estimation, thereby synchronizing large scale networks. In particular, we demonstrate the advantag…

eess.SP2020★ 1 cited

Synchronization in 5G: a Bayesian Approach

M. Goodarzi, D. Cvetkovski, N. Maletic +2

In this work, we propose a hybrid approach to synchronize large scale networks. In particular, we draw on Kalman Filtering (KF) along with time-stamps generated by the Precision Ti…

eess.SP2018★ 3 cited

Reliable Low Latency Wireless Communication Enabling Industrial Mobile Control and Safety Applications

Sergiy Melnyk, Abraham Gebru Tesfay, Khurshid Alam +8

Advanced industrial applications for human-machine interaction such as augmented reality support for maintenance works or mobile control panels for operating production facility se…