Holistic network virtualization and pervasive network intelligence for 6G
In this tutorial paper, we look into the evolution and prospect of network architecture and
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
propose a novel conceptual architecture for the 6th generation (6G) networks. The proposed …
A survey of decentralizing applications via blockchain: The 5G and beyond perspective
Trusted third parties (TTPs) are frequently used for serving as an authority to issue and verify
transactions in applications. Although the TTP-based paradigm provides customers with …
transactions in applications. Although the TTP-based paradigm provides customers with …
Incentive mechanism for reliable federated learning: A joint optimization approach to combining reputation and contract theory
Federated learning is an emerging machine learning technique that enables distributed
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
model training using local datasets from large-scale nodes, eg, mobile devices, but shares …
AI-assisted network-slicing based next-generation wireless networks
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …
and various network resources renders next-generation wireless networks (NGWNs) highly …
InFEDge: A blockchain-based incentive mechanism in hierarchical federated learning for end-edge-cloud communications
Advances in communications and networking technologies are driving the computing
paradigm toward the end-edge-cloud collaborative architecture to leverage ubiquitous data …
paradigm toward the end-edge-cloud collaborative architecture to leverage ubiquitous data …
Integrated resource management for terrestrial-satellite systems
As data traffic in terrestrial-satellite systems surges, the integration of power allocation for
caching, computing, and communication (3C) has attracted much research attention …
caching, computing, and communication (3C) has attracted much research attention …
Multiagent meta-reinforcement learning for adaptive multipath routing optimization
In this article, we investigate the routing problem of packet networks through multiagent
reinforcement learning (RL), which is a very challenging topic in distributed and autonomous …
reinforcement learning (RL), which is a very challenging topic in distributed and autonomous …
Secure and efficient data collection and storage of IoT in smart ocean
C Hu, Y Pu, F Yang, R Zhao… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Due to the abundant marine resources, smart ocean has attracted much attention of the
government, industry, and academy. The Internet-of-Things (IoT) architectures for smart …
government, industry, and academy. The Internet-of-Things (IoT) architectures for smart …
Social-aware incentive mechanisms for D2D resource sharing in IIoT
W Sun, J Liu, Y Yue, Y Jiang - IEEE Transactions on Industrial …, 2019 - ieeexplore.ieee.org
The industrial Internet of Things (IIoT), as one of the indispensable paradigms of the future
network, challenges existing computing network architectures by supporting computational …
network, challenges existing computing network architectures by supporting computational …
Blockchain for dynamic spectrum access and network slicing: A review
Dynamic spectrum access (DSA) and network slicing are some of the principal concepts to
realize the emerging applications in Beyond 5th Generation (B5G) and 6th Generation (6G) …
realize the emerging applications in Beyond 5th Generation (B5G) and 6th Generation (6G) …