activity
20172025
most citedA Comprehensive Survey of Machine Learning Based Localization with Wireless Signals

42 citations · 43 across the 6 of their papers we have counts for

collaborators

9 papers

cs.NI2025

Sim2Field: End-to-End Development of AI RANs for 6G

Russell Ford, Hao Chen, Pranav Madadi +17

Following state-of-the-art research results, which showed the potential for significant performance gains by applying AI/ML techniques in the cellular Radio Access Network (RAN), t…

eess.SY2024

Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction

Lei Chu, Daoud Burghal, Rui Wang +2

Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend…

eess.SY2024

Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization

Omer Gokalp Serbetci, Daoud Burghal, Andreas F. Molisch

Indoor localization is a challenging problem that - unlike outdoor localization - lacks a universal and robust solution. Machine Learning (ML), particularly Deep Learning (DL), met…

eess.SP2022

Simple and Effective Augmentation Methods for CSI Based Indoor Localization

Omer Gokalp Serbetci, Ju-Hyung Lee, Daoud Burghal +1

Indoor localization is a challenging task. Compared to outdoor environments where GPS is dominant, there is no robust and almost-universal approach. Recently, machine learning (ML)…

eess.SY2020★ 42 cited

A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals

Daoud Burghal, Ashwin T. Ravi, Varun Rao +2

The last few decades have witnessed a growing interest in location-based services. Using localization systems based on Radio Frequency (RF) signals has proven its efficacy for both…

eess.SP2019

A Machine Learning Solution for Beam Tracking in mmWave Systems

Daoud Burghal, Naveed A. Abbasi, Andreas F. Molisch

Utilizing millimeter-wave (mmWave) frequencies for wireless communication in \emph{mobile} systems is challenging since it requires continuous tracking of the beam direction. Recen…

cs.LG2019

Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional Antennas

Daoud Burghal, Rui Wang, Abdullah Alghafis +1

Many wireless networks, including 5G NR (New Radio) and future beyond 5G cellular systems, are expected to operate on multiple frequency bands. This paper considers the band assign…

eess.SP2018

Band Assignment in Dual Band Systems: A Learning-based Approach

Daoud Burghal, Rui Wang, Andreas F. Molisch

We consider the band assignment problem in dual band systems, where the base-station (BS) chooses one of the two available frequency bands (centimeter-wave and millimeter-wave band…

math.OC2017★ 1 cited

A Lower Bound To The Expected Discovery Time In One-Way Random Neighbor Discovery

Daoud Burghal, Arash Saber Tehrani, Andreas F. Molisch

We provide a lower bound on the expected discovery time of one-way neighbor discovery in multi antenna system. We assume that the scheme allows to use different directional transmi…