Mobile cloud-computing is a wireless network environment that focuses on sharing the publicly available wireless resources. Wireless network virtualization provides an efficient technique to implement the mobile cloud-computing by enabling multiple virtual wireless networks to be mapped onto one physical substrate wireless network. One of the most important challenges of this technique lies in how to efficiently allocate the wireless resources of physical wireless networks to the multiple virtual wireless network users. To overcome these difficulties, in this paper we propose a set of novel game-theory based schemes to resolve the wireless resources allocation problem in terms of transmit power and wireless spectrum. We formulate this wireless resources allocation problem as the gaming process where each mobile user bids for the limited wireless resources from physical substrate wireless networks, and competes with the other mobile-user players bidding for the same resources. Under our proposed game-theory framework, we develop three types of wireless resources request strategies: price-based strategy, correlation-based strategy, and water-filling-based strategy to allocate wireless resources under three different gaming mechanisms. The extensive simulation results obtained validate and evaluate our proposed schemes.

中文翻译：

---

基于博弈论的功率和频谱虚拟化优化移动云计算无线网络中的频谱效率

移动云计算是一种无线网络环境，专注于共享公共可用的无线资源。无线网络虚拟化通过将多个虚拟无线网络映射到一个物理基板无线网络上，为实现移动云计算提供了一种有效的技术。该技术最重要的挑战之一在于如何将物理无线网络的无线资源高效地分配给多个虚拟无线网络用户。为了克服这些困难，在本文中，我们提出了一套新的基于博弈论的方案来解决发射功率和无线频谱方面的无线资源分配问题。我们将此无线资源分配问题表述为博弈过程，其中每个移动用户竞标来自物理基础无线网络的有限无线资源，并与竞标相同资源的其他移动用户玩家竞争。在我们提出的博弈论框架下，我们开发了三种类型的无线资源请求策略：基于价格的策略、基于相关性的策略和基于注水的策略，以在三种不同的博弈机制下分配无线资源。获得的广泛模拟结果验证和评估了我们提出的方案。基于价格的策略、基于相关性的策略和基于注水的策略在三种不同的博弈机制下分配无线资源。获得的广泛模拟结果验证和评估了我们提出的方案。基于价格的策略、基于相关性的策略和基于注水的策略在三种不同的博弈机制下分配无线资源。获得的广泛模拟结果验证和评估了我们提出的方案。