Enhanced Game Theoretical Spectrum Sharing Method Based on Blockchain Consensus
- Resource Type
- Conference
- Authors
- Wu, Peiyan; Chen, Wenbin; Wu, Hualin; Qi, Ke; Liu, Miao
- Source
- 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall) Vehicular Technology Conference (VTC2021-Fall), 2021 IEEE 94th. :1-7 Sep, 2021
- Subject
- Aerospace
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Engineering Profession
Fields, Waves and Electromagnetics
Photonics and Electrooptics
Power, Energy and Industry Applications
Signal Processing and Analysis
Transportation
Resistance
Vehicular and wireless technologies
Fault tolerance
Conferences
Fault tolerant systems
Games
Consensus algorithm
Blockchain
Spectrum sharing
Reinforcement factor
Byzantine problem
Consensus
- Language
- ISSN
- 2577-2465
The limited spectrum resources need to provide safe and efficient spectrum service for the intensive users. Malicious spectrum work nodes will affect the normal operation of the entire system. Using the blockchain model, consensus algorithm Praft based on optimized Raft is to solve the consensus problem in Byzantine environment. Message digital signatures give the spectrum node some fault tolerance and tamper resistance. Spectrum sharing among spectrum nodes is carried out in combination with game theory. The existing game theoretical algorithm does not consider the influence of spectrum occupancy of primary users and cognitive users on primary users' utility and enthusiasm at the same time. We elicits a reinforcement factor and analyzes the effect of the reinforcement factor on strategy performance. This scheme optimizes the previous strategy so that the profits of spectrum nodes are improved and a good Nash equilibrium is shown, while Praft solves the Byzantine problem left by Raft.