Maged Elkashlan
Researcher / author (OpenAlex)
Facts
2 properties- Affiliation
- Queen Mary University of Londonas of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
🔖 Identifiers · 2
- ORCID iD
- 0000-0002-5168-0160
- OpenAlex ID
- A5015335741, A5125368969, A5125572443, A5128779199, A5135248735, A5135693937as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 16
Achievable Data Rate for URLLC-Enabled UAV Systems With 3-D Channel Model,
Artificial-Noise Aided Secure Transmission in Large Scale Spectrum Sharing Networks,
A STAR-RIS-Segmented Symbiotic AmBC System,
Clustered Millimeter-Wave Networks With Non-Orthogonal Multiple Access,
Deep Reinforcement Learning-Based Grant-Free NOMA Optimization for mURLLC,
Exploiting Direct Links for Physical Layer Security in Multiuser Multirelay Networks,
Fifty Years of Noise Modeling and Mitigation in Power-Line Communications,
Fingerprint-Based mmWave Positioning System Aided by Reconfigurable Intelligent Surface
+8 more
← Authored by 16
Achievable Data Rate for URLLC-Enabled UAV Systems With 3-D Channel Model,
Artificial-Noise Aided Secure Transmission in Large Scale Spectrum Sharing Networks,
A STAR-RIS-Segmented Symbiotic AmBC System,
Clustered Millimeter-Wave Networks With Non-Orthogonal Multiple Access,
Deep Reinforcement Learning-Based Grant-Free NOMA Optimization for mURLLC,
Exploiting Direct Links for Physical Layer Security in Multiuser Multirelay Networks,
Fifty Years of Noise Modeling and Mitigation in Power-Line Communications,
Fingerprint-Based mmWave Positioning System Aided by Reconfigurable Intelligent Surface
+8 more
Affiliated with 2
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Summary
Maged Elkashlan is a human[1].