A survey on model-based, heuristic, and machine learning optimization approaches in RIS-aided wireless networks
Reconfigurable intelligent surfaces (RISs) have received considerable attention as a key
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
enabler for envisioned 6G networks, for the purpose of improving the network capacity …
Comprehensive review on ML-based RIS-enhanced IoT systems: basics, research progress and future challenges
Sixth generation (6G) internet of things (IoT) networks will modernize the applications and
satisfy user demands through implementing smart and automated systems. Intelligence …
satisfy user demands through implementing smart and automated systems. Intelligence …
Integration of NOMA with reflecting intelligent surfaces: A multi-cell optimization with SIC decoding errors
Reflecting intelligent surfaces (RIS) has gained significant attention due to its high energy
and spectral efficiency in next-generation wireless networks. By using low-cost passive …
and spectral efficiency in next-generation wireless networks. By using low-cost passive …
Physical layer security for NOMA systems: Requirements, issues, and recommendations
Nonorthogonal multiple access (NOMA) has been viewed as a potential candidate for the
upcoming generation of wireless communication systems. Comparing to traditional …
upcoming generation of wireless communication systems. Comparing to traditional …
Machine Learning Empowered Emerging Wireless Networks in 6G: Recent Advancements, Challenges & Future Trends
The upcoming 6G networks are sixth-sense next-generation communication networks with
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
an ever-increasing demand for enhanced end-to-end (E2E) connectivity towards a …
[HTML][HTML] Research on smart city data encryption and communication efficiency improvement under federated learning framework
Z Kuang, C Chen - Egyptian Informatics Journal, 2023 - Elsevier
To improve the data communication processing capability of smart city informatization
construction and defend against malicious joint attacks of internal communication …
construction and defend against malicious joint attacks of internal communication …
Meta federated reinforcement learning for distributed resource allocation
In cellular networks, resource allocation is usually performed in a centralized way, which
brings huge computation complexity to the base station (BS) and high transmission …
brings huge computation complexity to the base station (BS) and high transmission …
Deep Q-learning based resource management in IRS-assisted VLC systems
A Al Hammadi, L Bariah, S Muhaidat… - … Machine Learning in …, 2023 - ieeexplore.ieee.org
Visible Light Communication (VLC) is a promising enabling technology for the next-
generation wireless networks, as it complements radio-frequency (RF)-based …
generation wireless networks, as it complements radio-frequency (RF)-based …
Federated learning for 6g: Paradigms, taxonomy, recent advances and insights
Artificial Intelligence (AI) is expected to play an instrumental role in the next generation of
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
wireless systems, such as sixth-generation (6G) mobile network. However, massive data …
A Semantic-Oriented Federated Learning for Hybrid Ground-Aqua Computing Systems
B Picano, R Fantacci - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
Nowadays, an ambitious target of the next-generation networks is to develop intelligent
overarching space–air–ground–aqua computing systems, in order to provide a smart …
overarching space–air–ground–aqua computing systems, in order to provide a smart …