Blockchain-empowered resource allocation in Multi-UAV-enabled 5G-RAN: a multi-agent deep reinforcement learning approach

AM Seid, A Erbad, HN Abishu… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
In 5G and B5G networks, real-time and secure resource allocation with the common telecom
infrastructure is challenging. This problem may be more severe when mobile users are …

Deep reinforcement learning for computation offloading and resource allocation in blockchain-based multi-UAV-enabled mobile edge computing

A Mohammed, H Nahom, A Tewodros… - … on Wavelet Active …, 2020 - ieeexplore.ieee.org
In the current fifth-generation (5G) and Beyond 5G (B5G) era, the Unmanned Aerial Vehicles
(UAVs) have been playing a vital role and attracting interest in different application areas in …

Blockchain-enabled resource trading and deep reinforcement learning-based autonomous RAN slicing in 5G

GO Boateng, D Ayepah-Mensah… - … on Network and …, 2021 - ieeexplore.ieee.org
The advent of radio access network (RAN) slicing is envisioned as a new paradigm for
accommodating different virtualized networks on a single infrastructure in 5G and beyond …

When deep reinforcement learning meets federated learning: Intelligent multitimescale resource management for multiaccess edge computing in 5G ultradense …

S Yu, X Chen, Z Zhou, X Gong… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Recently, smart cities, healthcare system, and smart vehicles have raised challenges on the
capability and connectivity of state-of-the-art Internet-of-Things (IoT) devices, especially for …

Blockchain-based resource trading in multi-UAV-assisted industrial IoT networks: A multi-agent DRL approach

MS Abegaz, HN Abishu, YH Yacob… - … on Network and …, 2022 - ieeexplore.ieee.org
With the Industrial Internet of Things (IIoT), mobile devices (MDs) and their demands for low-
latency data communication are increasing. Due to the limited resources of MDs, such as …

Incentivizing proof-of-stake blockchain for secured data collection in UAV-assisted IoT: A multi-agent reinforcement learning approach

X Tang, X Lan, L Li, Y Zhang… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
The Internet of Things (IoT) can be conveniently deployed while empowering various
applications, where the IoT nodes can form clusters to finish certain missions collectively. In …

Blockchain-enabled task offloading with energy harvesting in multi-UAV-assisted IoT networks: A multi-agent DRL approach

AM Seid, J Lu, HN Abishu… - IEEE Journal on Selected …, 2022 - ieeexplore.ieee.org
Unmanned Aerial Vehicle (UAV) is a promising technology that can serve as aerial base
stations to assist Internet of Things (IoT) networks, solving various problems such as …

Distributed dynamic resource management and pricing in the IoT systems with blockchain-as-a-service and UAV-enabled mobile edge computing

A Asheralieva, D Niyato - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
In this article, we study the pricing and resource management in the Internet of Things (IoT)
system with blockchain-as-a-service (BaaS) and mobile-edge computing (MEC). The BaaS …

Deep reinforcement learning for optimal resource allocation in blockchain-based IoV secure systems

H Xiao, C Qiu, Q Yang, H Huang… - … on Mobility, Sensing …, 2020 - ieeexplore.ieee.org
Driven by the advanced technologies of vehicular communications and networking, the
Internet of Vehicles (IoV) has become an emerging paradigm in smart world. However …

Deep reinforcement learning based performance optimization in blockchain-enabled internet of vehicle

M Liu, Y Teng, FR Yu, VCM Leung… - ICC 2019-2019 IEEE …, 2019 - ieeexplore.ieee.org
The rapid development of Internet of Vehicles (IoV) necessitates a secure and reliable
infrastructure to store and share the massive data. Blockchain, a distributed and immutable …