Work

Quantum Deep Reinforcement Learning for Secure Multi-User UAV RSMA Networks

Year: 2025

Type: conference-paper

Source: IFIP International Conference on New Technologies, Mobility and Security (NTMS)

DOI: 10.1109/ntms65597.2025.11076787

Authors: Mohamed Amine Ouamri, Abuzar B. M. Adam, Mohammed A. M. Elhassan

Institutions: Université Sorbonne Paris Nord, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust, Zhejiang Normal University

Language: English

Topic: Wireless Communication Security Techniques

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W6884595492

FWCI:

Cites: 14

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