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20152026
most citedA Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

1k citations · 2.9k across the 117 of their papers we have counts for

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Showing 2018Show all

9 papers · 1 filter

cs.NI2018

Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks

Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +3

This letter proposes two novel proactive cooperative caching approaches using deep learning (DL) to predict users' content demand in a mobile edge caching network. In the first app…

cs.NI2018★ 43 cited

Offloading Energy Efficiency with Delay Constraint for Cooperative Mobile Edge Computing Networks

Thai T. Vu, Nguyen Van Huynh, Dinh Thai Hoang +2

We propose a novel edge computing network architecture that enables edge nodes to cooperate in sharing computing and radio resources to minimize the total energy consumption of mob…

cs.NI2018★ 17 cited

Applications of Deep Reinforcement Learning in Communications and Networking: A Survey

Nguyen Cong Luong, Dinh Thai Hoang, Shimin Gong +4

This paper presents a comprehensive literature review on applications of deep reinforcement learning in communications and networking. Modern networks, e.g., Internet of Things (Io…

cs.NI2018★ 1 cited

A Novel Mobile Edge Network Architecture with Joint Caching-Delivering and Horizontal Cooperation

Yuris Mulya Saputra, Dinh Thai Hoang, Diep N. Nguyen +1

Mobile edge caching/computing has been emerging as a promising paradigm to provide new services (e.g., ultra-high rate, ultra-reliable, and/or low-latency communications) in future…

cs.NI2018★ 1 cited

Optimal and Low-Complexity Dynamic Spectrum Access for RF-Powered Ambient Backscatter System with Online Reinforcement Learning

Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +3

Ambient backscatter has been introduced with a wide range of applications for low power wireless communications. In this article, we propose an optimal and low-complexity dynamic s…

cs.NI2018★ 3 cited

Reinforcement Learning Approach for RF-Powered Cognitive Radio Network with Ambient Backscatter

Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen +3

For an RF-powered cognitive radio network with ambient backscattering capability, while the primary channel is busy, the RF-powered secondary user (RSU) can either backscatter the…