activity
20092026
most citedEfficient Coordinated Recovery of Sparse Channels in Massive MIMO

184 citations · 818 across the 156 of their papers we have counts for

collaborators

175 papers

eess.SP2026

Zadoff-Chu Sequences for Chirp-Domain Communication: Diversity-Complexity Tradeoffs in Doubly Dispersive Channels

Rawan Alghamdi, Moahmed Siala, Tareq Y. Al-Naffouri +1

Orthogonal frequency-division multiplexing (OFDM) combats multipath-induced time dispersion by dividing the channel into narrowband sub-channels. However, when the channel also exh…

cs.IT2026

How Many RF Chains Does a Microwave Linear Analog Computer (MiLAC) Need to Match the Fully-Digital Cramér-Rao Bound?

Yuchen Zhang, Yu Ge, Bruno Clerckx +1

A microwave linear analog computer (MiLAC) is a tunable microwave network that performs linear operations directly on radio-frequency signals through wave propagation. Used as an a…

eess.SP2026

Symbol Error Analysis of Linear Receivers in Terahertz Channels under Channel-Noise Dependence

Almutasem Bellah Enad, Jihad Fahs, Hadi Sarieddeen +2

This paper develops a comprehensive framework for the performance analysis of linear detectors, namely zero-forcing (ZF) and minimum mean-square error (MMSE), under diverse teraher…

eess.SP2026

Beamforming Design for Stem-Connected Microwave Linear Analog Computer (MiLAC)-Aided Multiuser MISO Downlinks

Yuchen Zhang, Zheyu Wu, Bruno Clerckx +1

A microwave linear analog computer (MiLAC) is a tunable microwave network that leverages wave propagation to perform computation directly in the analog domain. MiLAC finds promisin…

eess.SP2026

Quadratic Forms in Gaussian Random Variables Theoretical Results and Applications

Mohanad Ahmed, Mahmoud Ghazal, Maaz Mahadi +1

This manuscript reviews theoretical results and applications related to quadratic forms in Gaussian random variables. It summarizes definitions, canonical representations, exact an…

eess.SP2026

Quantization-Aware EE Optimization and SE-EE Tradeoff for MiLAC-Aided MU-MISO Beamforming

Yuchen Zhang, Pinjun Zheng, Tareq Y. Al-Naffouri

In large antenna arrays, hardware power consumption becomes a dominant design constraint, making energy efficiency (EE) a first-class objective alongside spectral efficiency (SE).…

eess.SP2026

Handover-Aware Power Minimization for Networked LEO Satellite Communications: Joint Cooperative Beamforming and Scheduling

Yuchen Zhang, Eva Lagunas, Symeon Chatzinotas +1

Networked low Earth orbit (LEO) satellite constellations enabled by inter-satellite links offer a promising path toward ubiquitous broadband non-terrestrial services, as cooperativ…

eess.SP2025

RIS-Aided Near-Field Channel Estimation under Mutual Coupling and Spatial Correlation

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen +1

The integration of reconfigurable intelligent surfaces (RIS) with extremely large multiple-input multiple-output (MIMO) arrays at the base station has emerged as a key enabler for…

eess.SP2025

THz-Band Near-Field RIS Channel Modeling for Linear Channel Estimation

Ahmad Dkhan, Simon Tarboush, Hadi Sarieddeen +2

Reconfigurable intelligent surface (RIS)-aided terahertz (THz)-band communications are promising enablers for future wireless networks. However, array densification at high frequen…

eess.SP2025

Diversity Analysis for Terahertz Communication Systems under Small-Scale Fading

Almutasem Bellah Enad, Jihad Fahs, Hakim Jemaa +2

The terahertz (THz) band is a key enabler for future wireless systems, promising ultra-high data rates and dense spatial reuse. However, the reliability of THz links remains a majo…

eess.SP2025

Performance and Complexity Analysis of Terahertz-Band MIMO Detection

Hakim Jemaa, Simon Tarboush, Hadi Sarieddeen +2

Achieving terabit-per-second (Tbps) data rates in terahertz (THz)-band communications requires bridging the complexity gap in baseband transceiver design. This work addresses the s…

eess.SP2025

Privacy Preservation in MIMO-OFDM Localization Systems: A Beamforming Approach

Yuchen Zhang, Hui Chen, Musa Furkan Keskin +4

We investigate an uplink MIMO-OFDM localization scenario where a legitimate base station (BS) aims to localize a user equipment (UE) using pilot signals transmitted by the UE, whil…

eess.SP2025

Asymptotic Analysis of One-bit Quantized Box-Constrained Precoding in Large-Scale Multi-User Systems

Xiuxiu Ma, Abla Kammoun, Mohamed-Slim Alouini +1

This paper addresses the design of multi-antenna precoding strategies, considering hardware limitations such as low-resolution digital-to-analog converters (DACs), which necessitat…

eess.SP2025

Indoor Position and Attitude Tracking with SO(3) Manifold

Hammam Salem, Mohanad Ahmed, Mohammed AlSharif +2

Driven by technological breakthroughs, indoor tracking and localization have gained importance in various applications including the Internet of Things (IoT), robotics, and unmanne…

cs.CV2024

Multimodal Biometric Authentication Using Camera-Based PPG and Fingerprint Fusion

Xue Xian Zheng, M. M. Ur Rahma, Bilal Taha +3

Camera-based photoplethysmography (PPG) obtained from smartphones has shown great promise for personalized healthcare and secure authentication. This paper presents a multimodal bi…

eess.SY2024

Error Feedback Approach for Quantization Noise Reduction of Distributed Graph Filters

Xue Xian Zheng, Tareq Al-Naffouri

This work introduces an error feedback approach for reducing quantization noise of distributed graph filters. It comes from error spectrum shaping techniques from state-space digit…

eess.SY2024

Unsupervised Physics-Informed Neural Network-based Nonlinear Observer design for autonomous systems using contraction analysis

Yasmine Marani, Israel Filho, Tareq Al-Naffouri +1

Contraction analysis offers, through elegant mathematical developments, a unified way of designing observers for a general class of nonlinear systems, where the observer correction…

eess.SP2024★ 1 cited

6G RIS-aided Single-LEO Localization with Slow and Fast Doppler Effects

Sharief Saleh, Musa Furkan Keskin, Basuki Priyanto +5

6G networks aim to enable applications like autonomous driving by providing complementary localization services through key technologies such as non-terrestrial networks (NTNs) wit…

eess.SP2024★ 2 cited

Mutual Coupling-Aware Channel Estimation and Beamforming for RIS-Assisted Communications

Pinjun Zheng, Simon Tarboush, Hadi Sarieddeen +1

This work studies the problems of channel estimation and beamforming for active reconfigurable intelligent surface (RIS)-assisted multiple-input multiple-output (MIMO) communicatio…

eess.SP2024

Calibration in RIS-aided Integrated Sensing, Localization and Communication Systems

Reza Ghazalian, Pinjun Zheng, Hui Chen +6

Reconfigurable intelligent surfaces (RISs) are key enablers for integrated sensing and communication (ISAC) systems in the 6G communication era. With the capability of dynamically…

eess.SP2024

Leveraging parallelizability and channel structure in THz-band, Tbps channel-code decoding

Hakim Jemaa, Hadi Sarieddeen, Simon Tarboush +2

As advancements close the gap between current device capabilities and the requirements for terahertz (THz)-band communications, the demand for terabit-per-second (Tbps) circuits is…

cs.RO2024

Kalman Filtering for Precise Indoor Position and Orientation Estimation Using IMU and Acoustics on Riemannian Manifolds

Mohammed H. AlSharif, Mohanad Ahmed, Mohamed Siala +1

Indoor tracking and pose estimation, i.e., determining the position and orientation of a moving target, are increasingly important due to their numerous applications. While Inertia…

eess.SP2024

Performance Analysis of Outdoor THz Links under Mixture Gamma Fading with Misalignment

Hakim Jemaa, Simon Tarboush, Hadi Sarieddeen +2

The precision of link-level theoretical performance analysis for emerging wireless communication paradigms is critical. Recent studies have demonstrated the excellent fitting capab…

cs.IT2024

UAV-assisted Unbiased Hierarchical Federated Learning: Performance and Convergence Analysis

Ruslan Zhagypar, Nour Kouzayha, Hesham ElSawy +2

The development of the sixth generation (6G) of wireless networks is bound to streamline the transition of computation and learning towards the edge of the network. Hierarchical fe…