Game Theory in Wireless and Communication Networks

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How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching (2017, methodology): “has been shown as a powerful tool [24].”
Federated Learning for Edge Networks: Resource Optimization and Incentive Mechanism (2019, background): “Several frameworks such as game theory, matching theory, and auction theory can be used in the design of incentive mechanisms for federated learning [13], [14].”
Robust Power Management via Learning and Game Design (2021, unknown): “2010, Han et al. 2014).”