CAREER: New Paradigm for Wireless Multimedia Communication Systems with Resource and Information Exchanges

现有的无线网络为多媒体应用提供动态变化的资源和有限的服务质量支持，这通常导致不令人满意的用户体验。本研究通过引入一种新的通信模式来解决这些挑战，该模式允许竞争无线站动态交换通信和计算资源。这一模式的灵感来自于一个成功的经济学概念，即“合作竞争”，它表明竞争与合作的明智结合在竞争环境中是有利的。当应用于无线多媒体系统时，本研究从根本上改变了被动的路站目前调整其传输策略，以匹配可用的无线和功率资源，使他们能够主动影响无线系统的动态，通过资源和信息交换。为了实现这一目标，调查模型的无线电台在一个动态的重复游戏中竞争可用的无线资源的理性球员。最佳的资源交换政策，确定不同的应用程序的要求，无线条件，多媒体内容，和不同层次的合作和优势，形成应用程序/站之间的联盟进行了探讨。在新的前摄范例中，通过调整参与站的传输策略来实现资源交换。目前，这些策略都是在较低的OSI层进行优化，而没有考虑多媒体业务的特点。本研究开发了一种新的跨层优化框架，适应不同的信道条件和可用资源，同时明确考虑无线多媒体应用的具体特点和要求。此外，为了实现不同的资源交换，以用户为中心的可伸缩多媒体编码和流传输算法进行了研究，考虑用户体验和站点资源。本研究同时考虑了现有的无线网络和下一代频谱捷变无线电网络，其中基站可以利用多个信道，从而动态地收集额外的资源，以满足多媒体需求。

Existing wireless networks provide dynamically varying resources with limited quality of service support for multimedia applications, which often results in unsatisfactory user experience. This research addresses these challenges by introducing a new communication paradigm that allows competing wireless stations to dynamically exchange communication and computation resources. This paradigm was inspired by a successful economics concept known as "coopetition", which suggests that a judicious mixture of competition and cooperation is advantageous in competitive environments. When applied to wireless multimedia systems, this research fundamentally changes the passive way stations currently adapt their transmission strategies to match available wireless and power resources, by enabling them to proactively influence the wireless systems dynamics through resource and information exchange. To achieve this, the investigator models wireless stations as rational players competing for available wireless resources in a dynamic repeated game. Optimal resource exchange policies are determined for different application requirements, wireless conditions, multimedia content, and different levels of collaboration and advantages of forming coalitions among applications/stations are explored. In the new proactive paradigm, the resource exchanges are made possible by adapting the transmission strategies of the participating stations. Currently, these strategies are optimized at the lower OSI layers without considering the multimedia traffic characteristics. This research develops a new cross-layer optimization framework that adapts to varying channel conditions and available resources, while explicitly considering the specific characteristics and requirements of wireless multimedia applications. Moreover, to enable different resource exchanges, user-centric scalable multimedia coding and streaming algorithms are investigated that consider the user experience and stations resources. This research considers both existing wireless networks and next-generation Spectrum Agile Radio networks in which stations can utilize multiple channels, thereby dynamically gathering additional resources to satisfy multimedia requirements.