Machine learning for large-scale optimization in 6g wireless networks

Y Shi, L Lian, Y Shi, Z Wang, Y Zhou… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The sixth generation (6G) wireless systems are envisioned to enable the paradigm shift from
“connected things” to “connected intelligence”, featured by ultra high density, large-scale …

Space-aerial-ground-sea integrated networks: Resource optimization and challenges in 6G

S Sharif, S Zeadally, W Ejaz - Journal of Network and Computer …, 2023 - Elsevier
Abstract Space-air-ground-sea integrated (SAGSI) networks are envisioned to connect
satellite, aerial, ground, and sea networks to provide connectivity everywhere and all the …

Scalable, Distributed AI Frameworks: Leveraging Cloud Computing for Enhanced Deep Learning Performance and Efficiency

N Mungoli - arXiv preprint arXiv:2304.13738, 2023 - arxiv.org
In recent years, the integration of artificial intelligence (AI) and cloud computing has
emerged as a promising avenue for addressing the growing computational demands of AI …

Federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Recent technological advancements have considerably improved healthcare systems to
provide various intelligent services, improving life quality. The Metaverse, often described as …

Towards 6G hyper-connectivity: Vision, challenges, and key enabling technologies

H Lee, B Lee, H Yang, J Kim, S Kim… - Journal of …, 2023 - ieeexplore.ieee.org
Technology forecasts anticipate a new era in which massive numbers of humans, machines,
and things are connected to wireless networks to sense, process, act, and communicate with …

A survey on federated learning for the healthcare metaverse: Concepts, applications, challenges, and future directions

AK Bashir, N Victor, S Bhattacharya… - arXiv preprint arXiv …, 2023 - arxiv.org
Recent technological advancements have considerately improved healthcare systems to
provide various intelligent healthcare services and improve the quality of life. Federated …

Multi-task and multi-objective joint resource optimization for UAV-assisted air-ground integrated networks under emergency scenarios

X Song, M Cheng, L Lei, Y Yang - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
To face the challenges in emergency scenarios, a multitask and multiobjective optimization
algorithm for computation offloading and relay communication is investigated for the air …

BSAF: A blockchain-based secure access framework with privacy protection for cloud-device service collaborations

L Duan, W Xu, W Ni, W Wang - Journal of Systems Architecture, 2023 - Elsevier
In an open Internet-of-Things (IoT) environment, cloud-device collaborative development
brings more functional services to users. However, privacy disclosure risks concerning …

[HTML][HTML] Mobile edge computing in space-air-ground integrated networks: Architectures, key technologies and challenges

Y Qiu, J Niu, X Zhu, K Zhu, Y Yao, B Ren… - Journal of Sensor and …, 2022 - mdpi.com
Space-air-ground integrated networks (SAGIN) provide seamless global coverage and cross-
domain interconnection for the ubiquitous users in heterogeneous networks, which greatly …

Space information network with joint virtual network function deployment and flow routing strategy with QoS constraints

H Yang, W Liu, J Li, TQS Quek - IEEE Journal on Selected …, 2023 - ieeexplore.ieee.org
Space information network (SIN) can provide global coverage in 6G network. Furthermore,
SIN with network function virtualization (NFV) can achieve flexible deployment of network …