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，这往往导致不满意的用户体验。这项研究通过引入一种新的通信范例来解决这些挑战，该范例允许竞争的无线站动态地交换通信和计算资源。这一范式的灵感来自于一个被称为“合作竞争”的成功经济学概念，该概念表明，在竞争环境中，明智地将竞争与合作结合在一起是有利的。当应用于无线多媒体系统时，本研究从根本上改变了站点当前调整其传输策略以匹配可用的无线和功率资源的被动方式，使它们能够通过资源和信息交换来主动地影响无线系统的动态。为了实现这一点，研究人员将无线站点建模为在动态重复博弈中争夺可用无线资源的理性参与者。为不同的应用需求确定最佳的资源交换策略，探索无线条件、多媒体内容和不同级别的协作以及在应用/站之间形成联盟的优势。在新的主动范式中，通过调整参与站点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，该框架能够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特定特征和要求。此外，为了支持不同的资源交换，研究了以用户为中心的可伸缩多媒体编码和流媒体算法，该算法考虑了用户体验和站点资源。这项研究既考虑了现有的无线网络，也考虑了下一代频谱敏捷无线网络，在这种网络中，站点可以利用多个信道，从而动态地聚集额外的资源来满足多媒体需求。

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.