122 citations · 148 across the 26 of their papers we have counts for
34 papers
Orientation-Aware Deep Learning Framework for RSSI-Based Indoor Localization in RIS-Aided mmWave Systems
Varun S. Advani, Ahmed Nasser, Mohamed Y. Selim +1
Reconfigurable intelligent surface (RIS)-aided millimeter wave (mmWave) systems provide directional measurements of received power for indoor localization, but device orientation c…
Digital Twin-Conditioned RSS-Fingerprint Localization in Cell-Free Millimeter-Wave Networks
Varun S. Advani, Khalid Kanaan, Ahmed Nasser +2
Digital twins (DTs) can generate dense synthetic fingerprints for localization via ray tracing, yet the sim-to-real domain gap limits their direct use, particularly in cell-free mi…
RF Chain Count to Mitigate Beam Split in Wideband Hybrid Arrays: From Far-Field to Near-Field
Ahmed Hussain, Asmaa Abdallah, Asmaa Abdallah Senior Member +4
Deploying large antenna arrays transitions wireless communication into the radiative near-field (NF), where spherical wavefronts enable beamfocusing in the joint angle-distance dom…
Cramér-Rao Bound Analysis for Cell-Free ISAC Systems with Fluid Intelligent Metasurfaces
Changhao He, Jiguang He, Asmaa Abdallah +1
Fluid intelligent metasurfaces (FIMs) reshape antenna geometry to improve angular sensitivity. This paper studies their role in cell-free integrated sensing and communication, wher…
WALoMA: A Multitask Wireless Foundation Model via Adaptive Low-Rank Masked Autoencoders
Madi Makin, Asmaa Abdallah, Abdulkadir Celik +1
This paper proposes a multitask wireless foundation model via adaptive low-rank masked autoencoders (WALoMA), a unified multi-task foundation model for sixth-generation (6G) wirele…
Text-conditioned Segmentation for Tomato Phenotyping via Procedural Synthetic Data
Samy Mounir, Mikolaj Cieslak, Najmeddine Dhieb +8
Vision-based automation is an excellent candidate for reducing manual labor in greenhouse crop production and phenotyping. However, progress is constrained by the lack of annotated…
Enwar 3.0: An Agentic Multi-Modal LLM Orchestrator for Situation-Aware Beamforming, Blockage Prediction, and Handover Management
Ahmad M. Nazar, Abdulkadir Celik, Asmaa Abdallah +3
Maintaining robust millimeter-wave (mmWave) connectivity in vehicular networks requires real-time adaptation to environmental dynamics, sensor degradation, and link variability. Th…
Boosting Spectral Efficiency via Spatial Path Index Modulation in RIS-Aided mMIMO
Ahmet M. Elbir, Abdulkadir Celik, Asmaa Abdallah +1
Next generation wireless networks focus on improving spectral efficiency (SE) while reducing power consumption and hardware cost. Reconfigurable intelligent surfaces (RISs) offer a…
Array Geometry-Centric Axial Sidelobe Interference Analysis for Near-Field Multi-User MIMO
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1
With the deployment of large antenna arrays at high-frequency bands, future wireless communication systems are likely to operate in the radiative near-field (NF). Unlike far-field…
Spatial Degrees of Freedom in Near Field MIMO: Experimental Validation of Beamspace Perspective
Ahmed Hussain, Asmaa Abdallah, Ahmed Nasser +2
Conventional far-field multiple-input multiple-output (MIMO) channels are limited to a single spatial degree of freedom (DoF) under a line-of-sight (LoS) condition. In contrast, th…
Analyzing URA Geometry for Enhanced Near-Field Beamfocusing and Spatial Degrees of Freedom
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +2
With the deployment of large antenna arrays at high-frequency bands, future wireless communication systems are likely to operate in the radiative near-field. Unlike far-field beam…
Sparse Array Design for Near-Field MU-MIMO: Reconfigurable Array Thinning Approach
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +2
Future wireless networks, deploying thousands of antenna elements, may operate in the radiative near-field (NF), enabling spatial multiplexing across both angle and range domains.…
Sparsity-Aware Streaming SNN Accelerator with Output-Channel Dataflow for Automatic Modulation Classification
Kuilian Yang, Li Zhang, Ahmed M. Eltawil +1
The rapid advancement of wireless communication technologies, including 5G, emerging 6G networks, and the large-scale deployment of the Internet of Things (IoT), has intensified th…
Near Field Tapering with Slepian Window: Balancing the Range Angle Sidelobe Trade off
Ahmed Hussain, Ahmed Sultan, Asmaa Abdallah +2
Near-field beamforming enables target discrimination in both range (axial) and angle (lateral) dimensions. Elevated sidelobes along either dimension, however, increase susceptibili…
Uniform Circular Arrays in Near-Field: Omnidirectional Coverage with Limited Capacity
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1
Recent studies suggest that uniform circular arrays (UCAs) can extend the angular coverage of the radiative near field region. This work investigates whether such enhanced angular…
Mixed-Precision Quantization for Language Models: Techniques and Prospects
Mariam Rakka, Marios Fournarakis, Olga Krestinskaya +5
The rapid scaling of language models (LMs) has resulted in unprecedented computational, memory, and energy requirements, making their training and deployment increasingly unsustain…
Causal Beam Selection for Reliable Initial Access in AI-driven Beam Management
Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2
Efficient and reliable beam alignment is a critical requirement for mmWave multiple-input multiple-output (MIMO) systems, especially in 6G and beyond, where communication must be f…
Multi-Modal Sensor Fusion for Proactive Blockage Prediction in mmWave Vehicular Networks
Ahmad M. Nazar, Abdulkadir Celik, Mohamed Y. Selim +3
Vehicular communication systems operating in the millimeter wave (mmWave) band are highly susceptible to signal blockage from dynamic obstacles such as vehicles, pedestrians, and i…
Joint Motion, Angle, and Range Estimation in Near-Field under Array Calibration Imperfections
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1
Ultra-massive multiple-input multiple-output MIMO (UM-MIMO) leverages large antenna arrays at high frequencies, transitioning communication paradigm into the radiative near-field (…
Digital Twin-Assisted Explainable AI for Robust Beam Prediction in mmWave MIMO Systems
Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2
In line with the AI-native 6G vision, explainability and robustness are crucial for building trust and ensuring reliable performance in millimeter-wave (mmWave) systems. Efficient…
Analyzing URA Geometry for Enhanced Spatial Multiplexing and Extended Near-Field Coverage
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1
With the deployment of large antenna arrays at high frequency bands, future wireless communication systems are likely to operate in the radiative near-field. Unlike far-field beam…
Near-Field Beam Prediction Using Far-Field Codebooks in Ultra-Massive MIMO Systems
Ahmed Hussain, Asmaa Abdallah, Abdulkadir Celik +1
Ultra-massive multiple-input multiple-output (UM-MIMO) technology is a key enabler for 6G networks, offering exceptional high data rates in millimeter-wave (mmWave) and Terahertz (…
Explainable Autoencoder Design for RSSI-Based Multi-User Beam Probing and Hybrid Precoding
Asmaa Abdallah, Abdulkadir Celik, Ahmed Alkhateeb +1
This paper introduces a novel neural network (NN) structure referred to as an ``Auto-hybrid precoder'' (Auto-HP) and an unsupervised deep learning (DL) approach that jointly design…
Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks
Nasir Khan, Asmaa Abdallah, Abdulkadir Celik +2
Integrated artificial intelligence (AI) and communication has been recognized as a key pillar of 6G and beyond networks. In line with AI-native 6G vision, explainability and robust…