most citedCSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems

1 citations · 1 across the 4 of their papers we have counts for

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5 papers

eess.SP2023★ 1 cited

CSI-Based Data-driven Localization Frameworking using Small-scale Training Datasets in Single-site MIMO Systems

Katarina Vuckovic, Farzam Hejazi, Nazanin Rahnavard

This work presents a date-driven user localization framework for single-site massive Multiple-Input-Multiple-Output (MIMO) systems. The framework is trained on a geo-tagged Channel…

eess.SP2021

MAP-CSI: Single-site Map-Assisted Localization Using Massive MIMO CSI

Katarina Vuckovic, Farzam Hejazi, Nazanin Rahnavard

This paper presents a new map-assisted localization approach utilizing Chanel State Information (CSI) in Massive Multiple-Input Multiple-Output (MIMO) systems. Map-assisted localiz…

eess.SP2021

Spectrum Shaping For Multiple Link Discovery in 6G THz Systems

Farzam Hejazi, Katarina Vuckovic, Nazanin Rahnavard

This paper presents a novel antenna configuration to measure directions of multiple signal sources at the receiver in a THz mobile network via a single channel measurement. Directi…

eess.SP2021

Phase Spectrometry For High Precision mm-Wave DoA Estimation In 5G Systems

Farzam Hejazi, Nazanin Rahnavard

In this paper, we introduce a direction of arrival (DoA) estimation method based on a technique named phase spectrometry (PS) that is mainly suitable for mm-Wave and Tera-hertz app…

cs.CV2021

DyLoc: Dynamic Localization for Massive MIMO Using Predictive Recurrent Neural Networks

Farzam Hejazi, Katarina Vuckovic, Nazanin Rahnavard

This paper presents a data-driven localization framework with high precision in time-varying complex multipath environments, such as dense urban areas and indoors, where GPS and mo…