Dusit Niyato

Challenges and Countermeasures for Adversarial Attacks on Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) has numerous applications in the real ...
01/27/2020 ∙ by Inaam Ilahi, et al. ∙ 23 ∙ share

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Mobile Big Data Analytics Using Deep Learning and Apache Spark

The proliferation of mobile devices, such as smartphones and Internet of...
02/23/2016 ∙ by Mohammad Abu Alsheikh, et al. ∙ 0 ∙ share

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Deep Activity Recognition Models with Triaxial Accelerometers

Despite the widespread installation of accelerometers in almost all mobi...
11/15/2015 ∙ by Mohammad Abu Alsheikh, et al. ∙ 0 ∙ share

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Toward a Robust Sparse Data Representation for Wireless Sensor Networks

Compressive sensing has been successfully used for optimized operations ...
08/02/2015 ∙ by Mohammad Abu Alsheikh, et al. ∙ 0 ∙ share

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Evolutionary Game for Mining Pool Selection in Blockchain Networks

In blockchain networks adopting the proof-of-work schemes, the monetary ...
12/06/2017 ∙ by Xiaojun Liu, et al. ∙ 0 ∙ share

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Applications of Economic and Pricing Models for Wireless Network Security: A Survey

This paper provides a comprehensive literature review on applications of...
07/25/2017 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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When Mobile Blockchain Meets Edge Computing: Challenges and Applications

Blockchain, as the backbone technology of the current popular Bitcoin di...
11/16/2017 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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Wireless-Powered Device-to-Device Communications with Ambient Backscattering: Performance Modeling and Analysis

The recent advanced wireless energy harvesting technology has enabled wi...
12/10/2017 ∙ by Xiao Lu, et al. ∙ 0 ∙ share

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Optimal Stochastic Delivery Planning in Full-Truckload and Less-Than-Truckload Delivery

With an increasing demand from emerging logistics businesses, Vehicle Ro...
02/04/2018 ∙ by Suttinee Sawadsitang, et al. ∙ 0 ∙ share

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Ambient Backscatter Communications: A Contemporary Survey

Recently, ambient backscatter communications has been introduced as a cu...
12/13/2017 ∙ by Nguyen Van Huynh, et al. ∙ 0 ∙ share

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Optimal Cross Slice Orchestration for 5G Mobile Services

5G mobile networks encompass the capabilities of hosting a variety of se...
12/16/2017 ∙ by Dinh Thai Hoang, et al. ∙ 0 ∙ share

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Cyberattack Detection in Mobile Cloud Computing: A Deep Learning Approach

With the rapid growth of mobile applications and cloud computing, mobile...
12/16/2017 ∙ by Khoi Khac Nguyen, et al. ∙ 0 ∙ share

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A Stochastic Programming Approach for Risk Management in Mobile Cloud Computing

The development of mobile cloud computing has brought many benefits to m...
12/16/2017 ∙ by Dinh Thai Hoang, et al. ∙ 0 ∙ share

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One-Hop Out-of-Band Control Planes for Low-Power Multi-Hop Wireless Networks

Separation of control and data planes (SCDP) is a desirable paradigm for...
12/17/2017 ∙ by Chaojie Gu, et al. ∙ 0 ∙ share

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Edge Computing Resource Management and Pricing for Mobile Blockchain

The mining process in blockchain requires solving a proof-of-work puzzle...
10/04/2017 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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Performance Analysis and Application of Mobile Blockchain

Mobile security has become more and more important due to the boom of mo...
12/11/2017 ∙ by Kongrath Suankaewmanee, et al. ∙ 0 ∙ share

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Edge Caching in Delay-Constrained Virtualized Cellular Networks: Analysis and Market

Caching of popular contents at cellular base stations, i.e., edge cachin...
02/13/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Applications of Economic and Pricing Models for Resource Management in 5G Wireless Networks: A Survey

This paper presents a comprehensive literature review on applications of...
10/13/2017 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Optimal Time Scheduling for Wireless-Powered Backscatter Communication Networks

This letter introduces a novel wireless-powered backscatter communicatio...
01/08/2018 ∙ by Nguyen Van Huynh, et al. ∙ 0 ∙ share

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Optimal Stochastic Package Delivery Planning with Deadline: A Cardinality Minimization in Routing

Vehicle Routing Problem with Private fleet and common Carrier (VRPPC) ha...
02/28/2018 ∙ by Suttinee Sawadsitang, et al. ∙ 0 ∙ share

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Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain

Blockchain, an emerging decentralized security system, has been applied ...
10/29/2017 ∙ by Yutao Jiao, et al. ∙ 0 ∙ share

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Competition and Cooperation Analysis for Data Sponsored Market: A Network Effects Model

The data sponsored scheme allows the content provider to cover parts of ...
11/03/2017 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market

Mobile Crowdsensing has shown a great potential to address large-scale p...
11/03/2017 ∙ by Jiangtian Nie, et al. ∙ 0 ∙ share

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Optimal Pricing-Based Edge Computing Resource Management in Mobile Blockchain

As the core issue of blockchain, the mining requires solving a proof-of-...
11/03/2017 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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Decentralized Caching for Content Delivery Based on Blockchain: A Game Theoretic Perspective

Blockchains enables tamper-proof, ordered logging for transactional data...
01/23/2018 ∙ by Wenbo Wang, et al. ∙ 0 ∙ share

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Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach

Blockchain has recently been applied in many applications such as bitcoi...
11/08/2017 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Auction Mechanisms in Cloud/Fog Computing Resource Allocation for Public Blockchain Networks

As an emerging decentralized secure data management platform, blockchain...
04/26/2018 ∙ by Yutao Jiao, et al. ∙ 0 ∙ share

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Joint Communication, Computation, Caching, and Control in Big Data Multi-access Edge Computing

The concept of multi-access edge computing (MEC) has been recently intro...
03/30/2018 ∙ by Anselme Ndikumana, et al. ∙ 0 ∙ share

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A Survey on Consensus Mechanisms and Mining Management in Blockchain Networks

The past decade has witnessed the rapid evolution in blockchain technolo...
05/07/2018 ∙ by Wenbo Wang, et al. ∙ 0 ∙ share

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Joint Ground and Aerial Package Delivery Services: A Stochastic Optimization Approach

Unmanned aerial vehicles (UAVs), also known as drones, have emerged as a...
08/14/2018 ∙ by Suttinee Sawadsitang, et al. ∙ 0 ∙ share

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Stackelberg Game for Distributed Time Scheduling in RF-Powered Backscatter Cognitive Radio Networks

In this paper, we study the transmission strategy adaptation problem in ...
04/08/2018 ∙ by Wenbo Wang, et al. ∙ 0 ∙ share

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A Hierarchical Game with Strategy Evolution for Mobile Sponsored Content and Service Markets

In sponsored content and service markets, the content and service provid...
06/29/2018 ∙ by Wenbo Wang, et al. ∙ 0 ∙ share

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Market-Oriented Information Trading in Internet of Things (IoT) for Smart Cities

Internet of Things (IoT) technology is a fundamental infrastructure for ...
06/14/2018 ∙ by Yang Zhang, et al. ∙ 0 ∙ share

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On Cyber Risk Management of Blockchain Networks: A Game Theoretic Approach

Open-access blockchains based on proof-of-work protocols have gained tre...
04/27/2018 ∙ by Shaohan Feng, et al. ∙ 0 ∙ share

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

For an RF-powered cognitive radio network with ambient backscattering ca...
08/23/2018 ∙ by Nguyen Van Huynh, et al. ∙ 0 ∙ share

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A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing

Mobile crowdsensing has shown a great potential to address large-scale d...
07/23/2018 ∙ by Jiangtian Nie, et al. ∙ 0 ∙ share

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Competitive Data Trading in Wireless-Powered Internet of Things (IoT) Crowdsensing Systems with Blockchain

With the explosive growth of smart IoT devices at the edge of the Intern...
08/30/2018 ∙ by Shaohan Feng, et al. ∙ 0 ∙ share

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

Ambient backscatter has been introduced with a wide range of application...
09/08/2018 ∙ by Nguyen Van Huynh, et al. ∙ 0 ∙ share

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Robust Transmissions in Wireless Powered Multi-Relay Networks with Chance Interference Constraints

In this paper, we consider a wireless powered multi-relay network in whi...
10/18/2018 ∙ by Jing Xu, et al. ∙ 0 ∙ share

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Network Slicing with Mobile Edge Computing for Micro-Operator Networks in Beyond 5G

We model the scenarios of network slicing allocation for the micro-opera...
11/01/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Deep Reinforcement Learning based Modulation and Coding Scheme Selection in Cognitive Heterogeneous Networks

We consider a cognitive heterogeneous network (HetNet), in which multipl...
11/07/2018 ∙ by Lin Zhang, et al. ∙ 0 ∙ share

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A Stackelberg Game Approach Towards Socially-Aware Incentive Mechanisms for Mobile Crowdsensing (Online report)

Mobile crowdsensing has shown a great potential to address large-scale d...
07/23/2018 ∙ by Jiangtian Nie, et al. ∙ 0 ∙ share

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

This paper presents a comprehensive literature review on applications of...
10/18/2018 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Joint Transaction Transmission and Channel Selection in Cognitive Radio Based Blockchain Networks: A Deep Reinforcement Learning Approach

To ensure that the data aggregation, data storage, and data processing a...
10/24/2018 ∙ by Nguyen Cong Luong, et al. ∙ 0 ∙ share

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Dynamic Pricing for Revenue Maximization in Mobile Social Data Market with Network Effects

Mobile data demand is increasing tremendously in wireless social network...
08/13/2018 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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Game Theoretic Analysis for Joint Sponsored and Edge Caching Content Service Market

With a sponsored content scheme in a wireless network, a sponsored conte...
08/13/2018 ∙ by Zehui Xiong, et al. ∙ 0 ∙ share

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Deep Q-Learning for Dynamic Reliability Aware NFV-Based Service Provisioning

Network function virtualization (NFV) is referred to the technology in w...
12/03/2018 ∙ by Hamed Rahmani Khezri, et al. ∙ 0 ∙ share

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Multi-operator spectrum sharing using matching game in small cells network

In this paper, we study a problem where multiple operators (OPs) need to...
08/27/2018 ∙ by Tachporn Sanguanpuak, et al. ∙ 0 ∙ share

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Efficient Training Management for Mobile Crowd-Machine Learning: A Deep Reinforcement Learning Approach

In this letter, we consider the concept of Mobile Crowd-Machine Learning...
12/10/2018 ∙ by Tran The Anh, et al. ∙ 0 ∙ share

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

This letter proposes two novel proactive cooperative caching approaches ...
12/13/2018 ∙ by Yuris Mulya Saputra, et al. ∙ 0 ∙ share

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