QoS和自私用户:MAC层视角

P. Nuggehalli, M. Sarkar, R. Rao
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引用次数: 13

摘要

许多无线网络标准都包括MAC层的服务质量(QoS)特性。这些特性使传输实时流量(如语音和视频)的节点比传输“尽力而为”流量的节点优先访问信道。这些QoS机制的成功要求节点诚实并真实地报告其应用程序的QoS类别。然而,如果可以的话,理性节点将偏离标准规范以最大化其效用。网络接口变得越来越可编程,节点有可能错误地将其最大努力流量分类为实时流量,以获得更高的吞吐量。在本文中,我们提供了一个博弈论的分析,像开槽Aloha MAC类似于IEEE 802.11e MAC在许多基本方面。我们的MAC模型允许将流量分类为高优先级(HP)或低优先级(LP),并允许随机访问(争用)和轮询(无争用)通道访问。我们提倡使用无争用访问特性作为一种高效且符合协议的机制来激励LP用户诚实。我们讨论了合适的HP和LP流量的效用函数,并使用合作博弈论中的纳什议价解决方案(NBS)概念分析了系统的性能。NBS的概念被用来为我们的系统寻找一个公平和帕累托最优的工作点。由于用户是有策略的,我们使用非合作博弈论的框架来寻找纳什均衡集。值得注意的是,我们发现NBS的运行点是一个纳什均衡,这意味着我们的策略既有效又不受策略的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
QoS and Selfish Users: A MAC Layer Perspective
Many wireless network standards include quality-of-service (QoS) features at the MAC layer. These features provide nodes transmitting real-time traffic such as voice and video preferential access to the channel over nodes carrying best-effort traffic. The success of these QoS mechanisms requires that nodes be honest and truthfully report their application's QoS category. However rational nodes will, if they can, deviate from a standard's specification to maximize their utility. Network interfaces are becoming increasingly programmable and it is possible for nodes to falsely classify their best-effort traffic as real-time traffic to obtain increased throughput. In this paper, we provide a game-theoretic analysis for a slotted Aloha like MAC that resembles the IEEE 802.11e MAC in many essential respects. Our MAC model allows traffic to be classified as either high-priority (HP) or low-priority (LP), and allows for both random access (contention) and polled (contention-free) channel access. We advocate the use of the contention-free access feature as an efficient and protocol-compliant mechanism to incentivize LP users to be truthful. We discuss appropriate utility functions for HP and LP traffic and analyze the performance of the system using the Nash bargaining solution (NBS) concept from cooperative game theory. The NBS concept is used to find a fair and Pareto-optimal operating point for our system. Since users are strategic, we then use the framework of non-cooperative game theory to find the set of Nash equilibria. Somewhat remarkably, we find that the NBS operating point is a Nash equilibrium, implying that our strategy is both efficient and strategy-proof.
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