Daoud Burghal
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View article: Sim2Field: End-to-End Development of AI RANs for 6G
Sim2Field: End-to-End Development of AI RANs for 6G Open
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), the wireless industry is now broadly pushing for the adoptio…
Impact of Channel and System Parameters on Performance Evaluation of Frequency Extrapolation Using Machine Learning Open
Channel extrapolation in the frequency domain is an important tool for reducing overhead and latency in frequency division duplex (FDD) wireless communications systems. Over the past years, various machine learning (ML) techniques have bee…
Context-Conditioned Spatio-Temporal Predictive Learning for Reliable V2V Channel Prediction Open
Achieving reliable multidimensional Vehicle-to-Vehicle (V2V) channel state information (CSI) prediction is both challenging and crucial for optimizing downstream tasks that depend on instantaneous CSI. This work extends traditional predict…
Wireless Channel Aware Data Augmentation Methods for Deep Learning-Based Indoor Localization Open
Indoor localization is a challenging problem that - unlike outdoor localization - lacks a universal and robust solution. Machine Learning (ML), particularly Deep Learning (DL), methods have been investigated as a promising approach. Althou…
Enhanced AI-Based CSI Prediction Solutions for Massive MIMO in 5G and 6G Systems Open
Accurate Channel State Information (CSI) is critical for maximizing the throughput of massive Multi-Input Multi-Output (mMIMO) systems. Due to the environment dynamics and user mobility, CSI aging is a major challenge to achieving the larg…
Simple and Effective Augmentation Methods for CSI Based Indoor Localization Open
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) has emerged as the most promising approach for achieving a…
A Comprehensive Survey of Machine Learning Based Localization with Wireless Signals Open
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 indoor and outdoor applications. However, challenges remai…
Dual Frequency Bands Shadowing Correlation Model in a Micro-Cellular Environment Open
Future wireless networks are expected to operate in both the centimeter-wave and millimeter-wave bands. It is thus necessary to provide an accurate characterization of the {em joint} channel properties in the two bands. Shadow fading is an…
A Machine Learning Solution for Beam Tracking in mmWave Systems Open
Utilizing millimeter-wave (mmWave) frequencies for wireless communication in \emph{mobile} systems is challenging since it requires continuous tracking of the beam direction. Recently, beam tracking techniques based on channel sparsity and…
System Performance Assessment in Dual-Band Device-to-Device MIMO Channels Open
Device-to-Device (D2D) communications has been embraced as a novel approach for extending coverage in fifth-generation (5G and beyond) wireless networks. Throughput and reliability assessment of such wireless networks are therefore of utmo…
Deep Learning and Gaussian Process based Band Assignment in Dual Band Systems. Open
We consider the band assignment (BA) problem in dual-band systems, where the basestation (BS) chooses one of the two available frequency bands (centimeter-wave and millimeter-wave bands) to communicate with the user equipment (UE). While t…
Supervised ML Solution for Band Assignment in Dual-Band Systems with Omnidirectional and Directional Antennas Open
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 assignment (BA) problem in dual-band systems, where the basestati…
Joint Characterization of MM-Wave and CM-Wave Device-to-Device Fading Channels Open
The envelope of performance in Fifth generation (5G) technology will be much greater than what we see in legacy technologies, featuring low latency, ultra-high data rates, massive connectivity, and increased security. 5G wireless systems o…
Band Assignment in Dual Band Systems: A Learning-Based Approach Open
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 bands) to communicate data to the mobile station (MS). While th…
A Lower Bound To The Expected Discovery Time In One-Way Random Neighbor Discovery Open
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 transmission probabilities, which result in different probability …
A Lower Bound To The Expected Discovery Time In One-Way Random Neighbor\n Discovery Open
We provide a lower bound on the expected discovery time of one-way neighbor\ndiscovery in multi antenna system. We assume that the scheme allows to use\ndifferent directional transmission probabilities, which result in different\nprobabili…