24 citations · 99 across the 33 of their papers we have counts for
8 papers · 1 filter
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…
RF Signal Transformation and Classification using Deep Neural Networks
Umar Khalid, Nazmul Karim, Nazanin Rahnavard
Deep neural networks (DNNs) designed for computer vision and natural language processing tasks cannot be directly applied to the radio frequency (RF) datasets. To address this chal…
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…
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…
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…
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks
Mojtaba Taherisadr, Mohsen Joneidi, Nazanin Rahnavard
A new deep learning-based electroencephalography (EEG) signal analysis framework is proposed. While deep neural networks, specifically convolutional neural networks (CNNs), have ga…
Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas
Mohsen Joneidi, Hassan Yazdani, Azadeh Vosoughi +1
Utilization of directional antennas is a promising solution for efficient spectrum sensing and accurate source localization and tracking. Spectrum sensors equipped with directional…
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard
A new paradigm for large-scale spectrum occupancy learning based on long short-term memory (LSTM) recurrent neural networks is proposed. Studies have shown that spectrum usage is a…