Empowering edge intelligence by air-ground integrated federated learning
Ubiquitous intelligence has been widely recognized as a critical vision of the future sixth
generation (6G) networks, which implies intelligence over the whole network from the core to …
generation (6G) networks, which implies intelligence over the whole network from the core to …
AI-inspired non-terrestrial networks for IIoT: Review on enabling technologies and applications
During the last few years, various Industrial Internet of Things (IIoT) applications have
emerged with numerous network elements interconnected using wired and wireless …
emerged with numerous network elements interconnected using wired and wireless …
Artificial intelligence for elastic management and orchestration of 5G networks
DM Gutierrez-Estevez, M Gramaglia… - IEEE wireless …, 2019 - ieeexplore.ieee.org
The emergence of 5G enables a broad set of diversified and heterogeneous services with
complex and potentially conflicting demands. For networks to be able to satisfy those needs …
complex and potentially conflicting demands. For networks to be able to satisfy those needs …
Cloud-edge-end collaboration in air–ground integrated power IoT: A semidistributed learning approach
H Liao, Z Jia, Z Zhou, Y Wang, H Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The combination of air–ground integrated power Internet of Things (AGI-PIoT) and cloud-
edge-end collaboration enables flexible coverage and real-time data processing. However …
edge-end collaboration enables flexible coverage and real-time data processing. However …
Edge intelligence for mission-critical 6G services in space-air-ground integrated networks
Next-generation wireless services will change our daily lives by supporting smart factories,
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
intelligent transportation, augmented/virtual reality, and more. These sophisticated services …
Deep reinforcement learning for radio resource allocation and management in next generation heterogeneous wireless networks: A survey
Next generation wireless networks are expected to be extremely complex due to their
massive heterogeneity in terms of the types of network architectures they incorporate, the …
massive heterogeneity in terms of the types of network architectures they incorporate, the …
Software-defined networking meets software-defined radio in mobile ad hoc networks: state of the art and future directions
D Kafetzis, S Vassilaras, G Vardoulias… - IEEE …, 2022 - ieeexplore.ieee.org
The aims of this survey article are to elaborate on cross-layer optimization, Software-Defined
Networking (SDN) and Software-Defined Radio (SDR) as separate domains of wireless …
Networking (SDN) and Software-Defined Radio (SDR) as separate domains of wireless …
Big AI models for 6G wireless networks: Opportunities, challenges, and research directions
Recently, big artificial intelligence (AI) models represented by chatGPT have brought an
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …
incredible revolution. With the pre-trained big AI model (BAIM) in certain fields, numerous …