A double-auction mechanism for mobile data-offloading markets with strategic agents

K. P. Naveen, R. Sundaresan
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引用次数: 3

Abstract

We consider a recently proposed double-auction mechanism for mobile data-offloading. Network operators (users) derive benefit from offloading their traffic to third party WiFi or femtocell network (link-supplier). A link-supplier experiences costs for the additional capacity that he provides. Users and link-supplier (collectively referred to as agents) have their utilities and cost function as private knowledge. A system-designer decomposes the problem into a network problem (with surrogate utilities and surrogate cost functions) and agent problems (one per agent). The surrogate utilities and cost functions are modulated by the agents' bids. Agents' payoffs and costs are then determined by the allocations and prices set by the system designer. So long as the agents do not anticipate the effect of their actions, a competitive equilibrium exists as a solution to the network and agent problems, and this equilibrium optimizes the system utility. This work shows that when the agents are strategic (price-anticipating), the presence of strategic supplying agents drives the system to an undesirable equilibrium with zero participation. This is in stark contrast to the setting when link-suppliers are not strategic where the efficiency loss is at most 34%. The paper then proposes a Stackelberg game modification to alleviate the efficiency loss problem. The system designer first announces the allocation and payment functions. He then invites the supplying agents to announce their bids. He then invites the users to respond to the suppliers' bids. The resulting efficiency loss is characterized in terms of the suppliers' cost functions.
具有战略代理的移动数据卸载市场的双重拍卖机制
我们考虑了最近提出的移动数据卸载的双重拍卖机制。网络运营商(用户)从将其流量转移到第三方WiFi或移动蜂窝网络(链路供应商)中获益。链路供应商要为他提供的额外容量承担成本。用户和链接提供者(统称为代理)的效用和成本函数都是私有知识。系统设计者将问题分解为网络问题(具有代理效用和代理成本函数)和代理问题(每个代理一个)。代理效用和成本函数由代理的出价调节。然后,代理的收益和成本由系统设计者设定的分配和价格决定。只要智能体不预期其行为的效果,竞争均衡就作为网络和智能体问题的解决方案而存在,这种均衡使系统效用最优化。该研究表明,当代理人是战略性的(价格预期的)时,战略供应代理人的存在将系统驱动到零参与的不良均衡。这与链接供应商不具有战略性的情况形成鲜明对比,后者的效率损失最多为34%。然后提出了一种Stackelberg博弈修正来缓解效率损失问题。系统设计者首先宣布分配和支付功能。然后,他邀请供应代理商宣布他们的出价。然后,他邀请用户对供应商的出价作出回应。由此产生的效率损失用供应商的成本函数表示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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