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Stackelberg Game for Service Deployment of IoT-Enabled Applications in 6G-Aware Fog Networks
IEEE Internet of Things Journal, 2021Fog computing has emerged as a promising paradigm that borrows the user-oriented cloud services to the proximity of the Internet-of-Things (IoT) users in sixth-generation (6G) networks.
A. Hazra +3 more
semanticscholar +1 more source
Stackelberg Game on the Boundary of Coexistence
2011 IEEE International Conference on Communications (ICC), 2011This paper combines Convex analysis and Game theory to investigate the problem of maximizing the sum rate of transceivers operating in the same frequency band. In our earlier work [1], we proved that for transceivers operating under a total power constraint, the power distribution that maximizes the sum rate lies on the boundary of the feasible set ...
Kandasamy Illanko +2 more
openaire +1 more source
IEEE Internet of Things Journal
Vehicular edge computing (VEC) is an effective paradigm in Internet of Vehicles (IoV), which allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for processing, thereby enhancing the Quality of Service (QoS).
Liang Zhao +5 more
semanticscholar +1 more source
Vehicular edge computing (VEC) is an effective paradigm in Internet of Vehicles (IoV), which allows vehicles to offload delay-sensitive tasks to nearby road side units (RSUs) for processing, thereby enhancing the Quality of Service (QoS).
Liang Zhao +5 more
semanticscholar +1 more source
Stackelberg Game of Energy Consumption and Latency in MEC Systems With NOMA
IEEE Transactions on Communications, 2021In this article, a two-user scenario of a non-orthogonal multiple access (NOMA)-based mobile edge computing (MEC) network is investigated. By treating the users and the MEC server as leader and follower, respectively, a Stackelberg game is formulated ...
Kaidi Wang +3 more
semanticscholar +1 more source
Collaboration in Federated Learning With Differential Privacy: A Stackelberg Game Analysis
IEEE Transactions on Parallel and Distributed SystemsAs a privacy-preserving distributed learning paradigm, federated learning (FL) enables multiple client devices to train a shared model without uploading their local data.
Guangjing Huang +4 more
semanticscholar +1 more source
IEEE Transactions on Vehicular Technology, 2021
Defensive and offensive capabilities are both significant in communication confrontation games. By exploiting the above two capabilities, a new confrontation mechanism in the spectrum domain between two opposing teams denoted as the blue team (BT) and ...
Nan Qi +6 more
semanticscholar +1 more source
Defensive and offensive capabilities are both significant in communication confrontation games. By exploiting the above two capabilities, a new confrontation mechanism in the spectrum domain between two opposing teams denoted as the blue team (BT) and ...
Nan Qi +6 more
semanticscholar +1 more source
IEEE Transactions on Automation Science and Engineering
A Stackelberg-Pareto differential game-based approximate optimal interaction control approach is proposed for user-led modular robot manipulator (MRM) systems modeled by joint torque feedback (JTF) technique.
Tianjiao An +5 more
semanticscholar +1 more source
A Stackelberg-Pareto differential game-based approximate optimal interaction control approach is proposed for user-led modular robot manipulator (MRM) systems modeled by joint torque feedback (JTF) technique.
Tianjiao An +5 more
semanticscholar +1 more source
Mitigating uncertainty in Stackelberg games
2012 IEEE 51st IEEE Conference on Decision and Control (CDC), 2012We present robust Stackelberg games with two types of players: leaders who have side information and can identify the actions of other players, and followers who do not have such information. In such games, a leader chooses its actions based on its side information, and a follower chooses its actions myopically based on its observations.
Saeedeh Parsaeefard +2 more
openaire +1 more source
IEEE Transactions on Services Computing, 2022
To support the increasing computation-intensive applications in the Internet of Things (IoT), edge computing is introduced to provide mobile devices computing resources for performing low-latency tasks.
Zetao Yang +4 more
semanticscholar +1 more source
To support the increasing computation-intensive applications in the Internet of Things (IoT), edge computing is introduced to provide mobile devices computing resources for performing low-latency tasks.
Zetao Yang +4 more
semanticscholar +1 more source
ISA transactions, 2022
There exist the uncertainties and the inequality constraints in permanent magnet synchronous motor (PMSM) system. In order to meet the safety control requirements in industrial applications, the state transformation is used to meet the inequality ...
Kang Huang +3 more
semanticscholar +1 more source
There exist the uncertainties and the inequality constraints in permanent magnet synchronous motor (PMSM) system. In order to meet the safety control requirements in industrial applications, the state transformation is used to meet the inequality ...
Kang Huang +3 more
semanticscholar +1 more source

