DNN-assisted Particle-based Bayesian Joint Synchronization and Localization. (arXiv:2110.02771v2 [cs.IT] UPDATED)

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) problem in ultra dense networks. In particular, DePF
deploys an asymmetric time-stamp exchange mechanism between the MUs and the
Access Points (APs), which, traditionally, provides us with information about
the MUs' clock offset and skew. However, information about the distance between
an AP and an MU is also intrinsic to the propagation delay experienced by
exchanged …

arxiv bayesian dnn localization synchronization