AI-assisted network-slicing based next-generation wireless networks

X Shen, J Gao, W Wu, K Lyu, M Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
The integration of communications with different scales, diverse radio access technologies,
and various network resources renders next-generation wireless networks (NGWNs) highly …

Hierarchical game-theoretic and reinforcement learning framework for computational offloading in UAV-enabled mobile edge computing networks with multiple …

A Asheralieva, D Niyato - IEEE Internet of Things Journal, 2019 - ieeexplore.ieee.org
We present a novel game-theoretic (GT) and reinforcement learning (RL) framework for
computational offloading in the mobile edge computing (MEC) network operated by multiple …

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 …

Game theory and Lyapunov optimization for cloud-based content delivery networks with device-to-device and UAV-enabled caching

A Asheralieva, D Niyato - IEEE Transactions on Vehicular …, 2019 - ieeexplore.ieee.org
The paper considers a cloud-based Content Delivery Network (CDN) with Device-to-Device
(D2D) and Unmanned Aerial Vehicle (UAV) enabled caching. The network is managed by …

Machine learning-based computation offloading in multi-access edge computing: A survey

A Choudhury, M Ghose, A Islam - Journal of Systems Architecture, 2024 - Elsevier
The advancement of technology towards the realization of the evolving mobile computing
paradigm brings a rapid paradigm shift in its usage, especially in the Internet, computation …

Combining contract theory and Lyapunov optimization for content sharing with edge caching and device-to-device communications

A Asheralieva, D Niyato - IEEE/ACM Transactions on …, 2020 - ieeexplore.ieee.org
The paper proposes a novel framework based on the contract theory and Lyapunov
optimization for content sharing in a wireless content delivery network (CDN) with edge …

Learning-based mobile edge computing resource management to support public blockchain networks

A Asheralieva, D Niyato - IEEE Transactions on Mobile …, 2019 - ieeexplore.ieee.org
We consider a public blockchain realized in the mobile edge computing (MEC) network,
where the blockchain miners compete against each other to solve the proof-of-work puzzle …

Dynamic behaviors of hyperbolic-type memristor-based Hopfield neural network considering synaptic crosstalk

Y Leng, D Yu, Y Hu, SS Yu, Z Ye - Chaos: An Interdisciplinary Journal …, 2020 - pubs.aip.org
Crosstalk phenomena taking place between synapses can influence signal transmission
and, in some cases, brain functions. It is thus important to discover the dynamic behaviors of …

Bayesian reinforcement learning and bayesian deep learning for blockchains with mobile edge computing

A Asheralieva, D Niyato - IEEE Transactions on Cognitive …, 2020 - ieeexplore.ieee.org
We present a novel game-theoretic, Bayesian reinforcement learning (RL) and deep
learning (DL) framework to represent interactions of miners in public and consortium …

Energy-efficient computation offloading for static and dynamic applications in hybrid mobile edge cloud system

J Bi, K Zhang, H Yuan, J Zhang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As a promising paradigm, mobile edge computing (MEC) provides cloud resources in a
network edge to offer low-latency services to mobile devices (MDs). MEC addresses the …