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Multiuser Rate Allocation Games for Multimedia Communications

机译：多媒体通信的多用户速率分配游戏

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摘要

How to efficiently and fairly allocate data rate among different users is a key problem in the field of multiuser multimedia communication. However, most of the existing optimization-based methods, such as minimizing the weighted sum of the distortions or maximizing the weighted sum of the peak signal-to-noise ratios (PSNRs), have their weights heuristically determined. Moreover, those approaches mainly focus on the efficiency issue while there is no notion of fairness. In this paper, we address this problem by proposing a game-theoretic framework, in which the utility/payoff function of each user/player is jointly determined by the characteristics of the transmitted video sequence and the allocated bit-rate. We show that a unique Nash equilibrium (NE), which is proportionally fair in terms of both utility and PSNR, can be obtained, according to which the controller can efficiently and fairly allocate the available network bandwidth to the users. Moreover, we propose a distributed cheat-proof rate allocation scheme for the users to converge to the optimal NE using alternative ascending clock auction. We also show that the traditional optimization-based approach that maximizes the weighted sum of the PSNRs is a special case of the game-theoretic framework with the utility function defined as an exponential function of PSNR. Finally, we show several experimental results on real video data to demonstrate the efficiency and effectiveness of the proposed method.
机译：如何在不同用户之间有效，公平地分配数据速率是多用户多媒体通信领域的关键问题。但是，大多数现有的基于优化的方法，例如最小化失真的加权和或最大化峰值信噪比（PSNR）的加权和，都需要权衡确定其权重。而且，这些方法主要关注效率问题，而没有公平的概念。在本文中，我们通过提出一个游戏理论框架来解决这个问题，在该框架中，每个用户/玩家的效用/收益函数由传输的视频序列的特性和分配的比特率共同确定。我们表明，可以获得唯一的纳什均衡（NE），它在效用和PSNR方面都成比例地公平，根据该纳什均衡，控制器可以有效，公平地将可用网络带宽分配给用户。此外，我们提出了一种分布式的防作弊率分配方案，以使用户可以使用替代的上升时钟拍卖来收敛到最佳NE。我们还表明，将PSNR的加权和最大化的基于传统优化的传统方法是博弈论框架的特例，其效用函数定义为PSNR的指数函数。最后，我们在真实视频数据上显示了一些实验结果，以证明所提方法的效率和有效性。

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