Priority-Based Rate Adaptation Using Game Theory in Vehicular Networks
Rate adaptation is extremely crucial to the system performance of wireless networks. Existing rate adaptation schemes mainly make use of channel information (e.g., packet error rate or signal strengths of received packets) to adapt transmission rates. In this paper, the authors find out that it is beneficial for rate adaptation schemes to consider priorities of packets when adapting transmission rates. They then propose a priority-based rate adaptation scheme for vehicular networks which jointly considers channel conditions and priorities of packets using game theory. In their scheme, they consider rate adaptation as a game which consists of different priorities of users and adopt a Stackelberg game model to regulate behaviors of self-interested users.