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20182026
most citedA Survey on Scalable LoRaWAN for Massive IoT: Recent Advances, Potentials, and Challenges

355 citations · 440 across the 26 of their papers we have counts for

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15 papers · 1 filter

eess.SP2026

Centralized RAN for Future Low-Power Wide-Area Networks: A LoRa Case Study

Joachim Tapparel, Amavi Dossa, El Mehdi Amhoud +1

In recent years, low-power wide-area network (LPWAN) technologies have gained significant traction as a connectivity option for Internet of Things (IoT) applications. While these n…

eess.SP2025

Scalable Association of Users in CF-mMIMO: A Synergy of Communication, Sensing, and JCAS

Ahmed Naeem, Anastassia Gharib, El Mehdi Amhoud +1

Cell-free massive multiple-input multiple-output (CF-mMIMO) is a key enabler for the sixth generation (6G) networks, offering unprecedented spectral efficiency and ubiquitous cover…

eess.SP2025

Exact Sum Distribution of alpha-eta-kappa-mu Fading Channels for Statistical Performance Analysis of RRS-Based Wireless Transmission

Rayees Ahmad Wani, Rajeev Rajagopal, Pranay Bhardwaj +2

Reconfigurable refractive surface (RRS) is an efficient alternative to holographic multiple input multiple outputs (HMIMO) systems that can serve as a transmission unit operating i…

eess.SP2024

Joint Adaptive OFDM and Reinforcement Learning Design for Autonomous Vehicles: Leveraging Age of Updates

Mamady Delamou, Ahmed Naeem, Huseyin Arslan +1

Millimeter wave (mmWave)-based orthogonal frequency-division multiplexing (OFDM) stands out as a suitable alternative for high-resolution sensing and high-speed data transmission.…

eess.SP2024★ 1 cited

MetaGraphLoc: A Graph-based Meta-learning Scheme for Indoor Localization via Sensor Fusion

Yaya Etiabi, Eslam Eldeeb, Mohammad Shehab +4

Accurate indoor localization remains challenging due to variations in wireless signal environments and limited data availability. This paper introduces MetaGraphLoc, a novel system…

eess.SP2024★ 4 cited

Optimal Joint Radar and Communication User Association in Cell-Free mMIMO Systems

Ahmed Naeem, El Mehdi Amhoud, Hüseyin Arslan

The cell-free massive multiple-input multiple-output (CF-mMIMO) systems are crucial for 6G development due to their high spectral efficiency and uniform user-experienced data rates…

eess.SP2024

FeMLoc: Federated Meta-learning for Adaptive Wireless Indoor Localization Tasks in IoT Networks

Yaya Etiabi, Wafa Njima, El Mehdi Amhoud

The rapid growth of the Internet of Things fosters collaboration among connected devices for tasks like indoor localization. However, existing indoor localization solutions struggl…

eess.SP2024★ 3 cited

A Unified Deep Transfer Learning Model for Accurate IoT Localization in Diverse Environments

Abdullahi Isa Ahmed, Yaya Etiabi, Ali Waqar Azim +1

Internet of Things (IoT) is an ever-evolving technological paradigm that is reshaping industries and societies globally. Real-time data collection, analysis, and decision-making fa…

eess.SP2023★ 1 cited

Deep Learning-based Estimation for Multitarget Radar Detection

Mamady Delamou, Ahmad Bazzi, Marwa Chafii +1

Target detection and recognition is a very challenging task in a wireless environment where a multitude of objects are located, whether to effectively determine their positions or…

eess.SP2022★ 1 cited

An Efficient Radar Receiver for OFDM-based Joint Radar and Communication Systems

Mamady Delamou, Kawtar Zerhouni, Guevara Noubir +1

We propose in this work a radar detection system for orthogonal-frequency division multiplexing (OFDM) transmission. We assume that the transmitting antenna Tx is colocated with a…

eess.SP2022★ 2 cited

Federated Distillation based Indoor Localization for IoT Networks

Yaya Etiabi, Marwa Chafii, El Mehdi Amhoud

Federated distillation (FD) paradigm has been recently proposed as a promising alternative to federated learning (FL) especially in wireless sensor networks with limited communicat…

eess.SP2022

Spreading Factor assisted LoRa Localization with Deep Reinforcement Learning

Yaya Etiabi, Mohammed JOUHARI, Andreas Burg +1

Most of the developed localization solutions rely on RSSI fingerprinting. However, in the LoRa networks, due to the spreading factor (SF) in the network setting, traditional finger…

eess.SP2021★ 27 cited

OFDM with Index Modulation in Orbital Angular Momentum Multiplexed Free Space Optical Links

El-Mehdi Amhoud, Marwa Chafii, Ahmad Nimr +1

Communication using orbital angular momentum (OAM) modes has recently received a considerable interest in free space optical (FSO) communications. Propagating OAM modes through fre…

eess.SP2019

A Unified Statistical Model for Atmospheric Turbulence-Induced Fading in Orbital Angular Momentum Multiplexed FSO Systems

El-Mehdi Amhoud, Boon S. Ooi, Mohamed-Slim Alouini

This paper proposes a unified statistical channel model to characterize the atmospheric turbulence induced distortions faced by orbital angular momentum (OAM) in free space optical…

eess.SP2018

OAM Mode Selection and Space-Time Coding for Turbulence Mitigation in FSO Communication

El-Mehdi Amhoud, Abderrahmen Trichili, Boon S. Ooi +1

Free space optical (FSO) communications using orbital angular momentum (OAM) modes has recently received a considerable interest. Propagating OAM modes through free space may be su…