Incentive Mechanism Design for Resource Management in Satellite Networks: A Comprehensive Survey

2026-01-07

IEEE Internet of Things Journal

AI Summary

This study addresses the challenges of resource management in satellite networks, where high mobility, long propagation delays, and limited resources render traditional rigid approaches ineffective in balancing user rationality and system efficiency. From an integrated economic and systems perspective, this work presents the first comprehensive survey of incentive mechanisms grounded in game theory and auction theory, applied to critical domains such as communication resource allocation, computation offloading, privacy-preserving security, and multi-agent coordination. By explicitly incorporating users’ rational behaviors, the proposed unified framework significantly enhances the scalability, adaptability, and fairness of resource allocation. The paper further identifies learning-based mechanism design as a pivotal direction for achieving intelligent, efficient, and equitable resource management in future satellite networks.

Technology Category

• Game Theory and Economic Paradigms: Mechanism Design
• Multiagent Systems: Mechanism Design
• Planning, Routing, and Scheduling: Scheduling under Uncertainty

Application Category

• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Systems and Infrastructure for Web, Mobile and WoT: Virtualization and resource management in Web systems and infrastructures
• User Modeling, Personalization and Recommendation: User privacy protection in personalized systems

Abstract

The resource management is one of the challenges in satellite networks due to their high mobility, wide coverage, long propagation distances, and stringent constraints on energy, communication, and computational resources. Traditional resource allocation approaches rely only on hard and rigid system performance metrics. Meanwhile, incentive mechanisms, which are based on the game theory and auction theory, investigate systems from the “economic” perspective in addition to the “system” perspective. Particularly, incentive mechanisms are able to take into account rationality and other behavior of human users into account, which guarantees benefits/utility of all system entities, thereby improving the scalability, adaptability, and fairness in resource allocation. This article presents a comprehensive survey of incentive mechanism design for resource management in satellite networks. This article covers key issues in the satellite networks, such as communication resource allocation, computational offloading, privacy and security, and coordination. We conclude with future research directions, including learning-based mechanism design for satellite networks.

Problem

• resource management
• satellite networks
• incentive mechanism
• game theory
• auction theory

Innovation

• incentive mechanism
• satellite networks
• resource management
• game theory
• learning-based design