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Social Welfare Maximization Auction in Edge Computing Resource Allocation for Mobile Blockchain
Yutao Jiao, Ping Wang, Dusit Niyato +1
Blockchain, an emerging decentralized security system, has been applied in many applications, such as bitcoin, smart grid, and Internet-of-Things. However, running the mining proce…
Optimal Auction For Edge Computing Resource Management in Mobile Blockchain Networks: A Deep Learning Approach
Nguyen Cong Luong, Zehui Xiong, Ping Wang +1
Blockchain has recently been applied in many applications such as bitcoin, smart grid, and Internet of Things (IoT) as a public ledger of transactions. However, the use of blockcha…
Competition and Cooperation Analysis for Data Sponsored Market: A Network Effects Model
Zehui Xiong, Shaohan Feng, Dusit Niyato +2
The data sponsored scheme allows the content provider to cover parts of the cellular data costs for mobile users. Thus the content service becomes appealing to more users and poten…
Optimal Pricing-Based Edge Computing Resource Management in Mobile Blockchain
Zehui Xiong, Shaohan Feng, Dusit Niyato +2
As the core issue of blockchain, the mining requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to high computing power needed.…
When Mobile Blockchain Meets Edge Computing
Zehui Xiong, Yang Zhang, Dusit Niyato +2
Blockchain, as the backbone technology of the current popular Bitcoin digital currency, has become a promising decentralized data management framework. Although blockchain has been…
A Socially-Aware Incentive Mechanism for Mobile Crowdsensing Service Market
Jiangtian Nie, Zehui Xiong, Dusit Niyato +2
Mobile Crowdsensing has shown a great potential to address large-scale problems by allocating sensing tasks to pervasive Mobile Users (MUs). The MUs will participate in a Crowdsens…
Cloud/fog computing resource management and pricing for blockchain networks
Zehui Xiong, Shaohan Feng, Wenbo Wang +3
The mining process in blockchain requires solving a proof-of-work puzzle, which is resource expensive to implement in mobile devices due to the high computing power and energy need…