A survey of blockchain and intelligent networking for the metaverse

Y Fu, C Li, FR Yu, TH Luan, P Zhao… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The virtual world created by the development of the Internet, computers, artificial intelligence
(AI), and hardware technologies have brought various degrees of digital transformation to …

[HTML][HTML] A Review of blockchain technology in knowledge-defined networking, its application, benefits, and challenges

PADSN Wijesekara, S Gunawardena - Network, 2023 - mdpi.com
Knowledge-Defined Networking (KDN) necessarily consists of a knowledge plane for the
generation of knowledge, typically using machine learning techniques, and the …

Blockchain for dynamic spectrum access and network slicing: A review

ST Muntaha, PI Lazaridis, M Hafeez, QZ Ahmed… - IEEE …, 2023 - ieeexplore.ieee.org
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) …

Applications of machine learning in resource management for RAN-slicing in 5G and beyond networks: A survey

Y Azimi, S Yousefi, H Kalbkhani, T Kunz - IEEE Access, 2022 - ieeexplore.ieee.org
One of the key foundations of 5th Generation (5G) and beyond 5G (B5G) networks is
network slicing, in which the network is partitioned into several separated logical networks …

Multi-operator dynamic spectrum sharing for wireless communications: A consortium blockchain enabled framework

Z Li, W Wang, Q Wu, X Wang - IEEE Transactions on Cognitive …, 2022 - ieeexplore.ieee.org
To enable secure and efficient dynamic spectrum sharing (DSS) with guaranteed revenue
and quality of service (QoS) in future wireless communications, we present a consortium …

Joint optimization of caching placement and power allocation in virtualized satellite-terrestrial network

H Zhang, J Xu, X Liu, K Long… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of mobile services and applications, the transmitting of massive
data makes low-cost communication a challenge. Edge-based wireless communication …

How to attack and defend nextg radio access network slicing with reinforcement learning

Y Shi, YE Sagduyu, T Erpek… - IEEE Open Journal of …, 2022 - ieeexplore.ieee.org
In this paper, reinforcement learning (RL) for network slicing is considered in next
generation (NextG) radio access networks, where the base station (gNodeB) allocates …

QoS guaranteed network slicing orchestration for Internet of Vehicles

Y Cui, X Huang, P He, D Wu… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
To support the diversified Quality of Service (QoS) requirements of application scenarios,
network slicing has been introduced in the mobile cellular network. It allows mobile cellular …

Blockchain-based computing resource trading in autonomous multi-access edge network slicing: A dueling double deep Q-learning approach

T Kwantwi, G Sun, NAE Kuadey… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
We investigate the computing resource allocation in multi-access edge network slicing (NS)
in the context of revenue and multi-access edge computing (MEC) resource management …

Two-Tier Resource Allocation for Multi-Tenant Network Slicing: A Federated Deep Reinforcement Learning Approach

R Ou, G Sun, D Ayepah-Mensah… - IEEE Internet of …, 2023 - ieeexplore.ieee.org
Fifth-generation (5G) wireless networks enable gigabit-per-second data speeds, minimal
latency, and reliable Internet of Things (IoT) connectivity. Thus, network slicing (NS) has …