在吞吐量和传输比例公平之间权衡的ALOHA多用户博弈

A. Garnaev, W. Trappe
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引用次数: 0

摘要

本文考虑了一种多用户发送数据的ALOHA类型通信,并在博弈论框架下研究了该问题。我们表明,在这种ALOHA类型的通信中,吞吐量度量导致平衡的连续体。此外,它的传统扩展通过增加传输成本,这可能会使这样一个连续体崩溃为有限数量的均衡,实际上仍然是一个多均衡的情况,这可能会潜在地破坏用户通信的稳定。此外,我们还表明,与平坦衰落多址通信(MAC)网络相比,在ALOHA网络中,用户的通信可能不会通过从吞吐量切换到延迟通信实用程序来稳定。这种现象提出了一个问题,即在多用户ALOHA类型通信中,哪种度量可能导致唯一的平衡,从而达到稳定。在这里,对于多用户ALOHA类型通信,我们建议使用一种高级通信度量来反映吞吐量和传输公平性之间的权衡。这种度量也可以解释为用户在自私行为和合作行为之间的权衡。我们证明,与吞吐量度量相比,这种高级度量总是导致唯一的平衡,从而在相应的传输协议下实现通信稳定性。另一个已被证明的优点是它支持用户之间的不间断通信。平衡是用封闭形式推导出来的。最后,给出了如何在建议的权衡度量中优化吞吐量和传输公平性的权重。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An ALOHA multi-user game with tradeoff between throughput and transmission proportional fairness
The paper considers an ALOHA type communication, where several users send data, and investigates the problem in a game-theoretic framework. We show that in such ALOHA type communication, the throughput metric leads to a continuum of equilibria. Moreover, its traditional extension via adding a transmission cost, which might collapse such a continuum to a finite number of equilibria, actually remains a multi equilibria situation, and that this might potentially destabilize users communication. Also we show that in contrast to the flat-fading multiple access communication (MAC) networks, in an ALOHA network, users' communication might not be stabilized via switching from throughput to latency communication utility. This phenomena puts forward a question of which metric might lead to a unique equilibrium, and thus to stability in multi user ALOHA type communication. Here for multi user ALOHA type communication we suggest an advanced communication metric reflecting tradeoff between throughput and the transmission's fairness. Such metric might be also interpreted as a trade-off for a user between its selfish and cooperative behavior. We prove that, in contrast to the throughput metric, such an advanced metric always lead to a unique equilibrium, and thus to communication stability under the corresponding transmission protocol. The other proven advantage is that it supports uninterrupted communication between the users. The equilibrium is derived in closed form. Finally, it is shown how to optimize weights of throughput and transmission's fairness in the suggested trade-off metric.
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