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Priority-Based Rate Adaptation Using Game Theory in Vehicular Networks

机译:车辆网络中基于博弈论的基于优先级的速率自适应

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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, we find out that it is beneficial for rate adaptation schemes to consider priorities of packets when adapting transmission rates. We then propose a priority-based rate adaptation scheme for vehicular networks which jointly considers channel conditions and priorities of packets using game theory. In our scheme, we 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. Extensive ns-2 simulations demonstrate that the proposed scheme can provide much better performance for high priority users than existing schemes, while maintaining good performance for low priority users.
机译:速率自适应对于无线网络的系统性能至关重要。现有的速率适配方案主要利用信道信息(例如,分组错误率或接收到的分组的信号强度)来适配传输速率。在本文中,我们发现速率自适应方案在自适应传输速率时考虑数据包的优先级是有益的。然后,我们提出了一种基于优先级的车载网络速率适配方案,该方案使用博弈论共同考虑了信道条件和数据包的优先级。在我们的方案中,我们将速率适应视为一个由不同优先级的用户组成的游戏,并采用Stackelberg游戏模型来调节自利用户的行为。大量的ns-2仿真表明,与现有方案相比,该方案可以为高优先级用户提供更好的性能,同时为低优先级用户提供良好的性能。

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