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20182026
most citedRecommendation System-based Upper Confidence Bound for Online Advertising

8 citations · 15 across the 9 of their papers we have counts for

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8 papers · 1 filter

cs.NI2026

Semantic Split Inference for Remote Modulation Recognition

Samer Lahoud, Kinda Khawam

Remote automatic modulation recognition balances sensing-node complexity, reporting cost and accuracy. To address this trade-off, we propose channel-aware semantic split inference:…

cs.NI2026

Semantic Communication for Distributed Spectrum Monitoring over Unreliable Links

Samer Lahoud, Kinda Khawam

Distributed spectrum monitoring relies on spatially separated receivers to infer the state of the radio environment. A central task is to determine how many emitters are active and…

cs.NI2026

Towards Realistic Waveform-Level IoT Network Simulation via IQ Mixing

Alexis Delplace, Samer Lahoud, Kinda Khawam +1

Most Internet of Things (IoT) network simulators are packet-level discrete-event systems in which physical-layer (PHY) behavior is approximated through analytical interference rule…

cs.NI2025

Exploring LR-FHSS Modulation for Enhanced IoT Connectivity: A Measurement Campaign

Alexis Delplace, Samer Lahoud, Kinda Khawam

This paper presents the first comprehensive real-world measurement campaign comparing LR-FHSS and LoRa modulations within LoRaWAN networks in urban environments. Conducted in Halif…

cs.NI2025

Client Selection Strategies for Federated Semantic Communications in Heterogeneous IoT Networks

Samer Lahoud, Kinda Khawam

The exponential growth of IoT devices presents critical challenges in bandwidth-constrained wireless networks, particularly regarding efficient data transmission and privacy preser…

cs.NI2025

Fragment-Level Macro-Diversity Reception in LoRaWAN Networks with LR-FHSS

Samer Lahoud, Kinda Khawam

The rapid expansion of Internet of Things (IoT) deployments demands wireless protocols that combine high scalability with robust performance. Long Range-Frequency Hopping Spread Sp…

cs.NI2024

Understanding IoT Domain Names: Analysis and Classification Using Machine Learning

Ibrahim Ayoub, Martine S. Lenders, Benoît Ampeau +4

In this paper, we investigate the domain names of servers on the Internet that are accessed by IoT devices performing machine-to-machine communications. Using machine learning, we…

cs.NI2018★ 7 cited

Joint User Association, Power Control and Scheduling in Multi-Cell 5G Networks

Kinda Khawam, Bilal Maaz, Samir Tohmé +3

-The focus of this paper is targeted towards multi-cell 5G networks which are composed of HPNs (High Power Node) such as evolved NodeBs (HPNs) that control signaling and system bro…