9 citations · 17 across the 8 of their papers we have counts for
9 papers
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…
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…
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…
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…
Beam Entropy of 5G Cellular Millimetre-Wave Channels
Krishan Kumar Tiwari, Eckhard Grass, John S. Thompson +1
In this paper, we obtain and study typical beam entropy values for millimetre wave (mm-wave) channel models using the NYUSIM simulator for frequencies up to 100 GHz for fifth gener…
Memory-assisted Statistically-ranked RF Beam Training Algorithm for Sparse MIMO
Krishan K. Tiwari, Eckhard Grass, John S. Thompson +1
This paper presents a novel radio frequency (RF) beam training algorithm for sparse multiple input multiple output (MIMO) channels using unitary RF beamforming codebooks at transmi…