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，这往往导致用户体验不满意。本研究通过引入一种新的通信范式来解决这些挑战，该范式允许竞争的无线站动态交换通信和计算资源。这一范式的灵感来自于一个成功的经济学概念——“合作”，该概念表明，在竞争环境中，竞争与合作的明智结合是有利的。当应用于无线多媒体系统时，从根本上改变了目前被动站点根据可用的无线和电力资源调整传输策略，使其能够通过资源和信息交换主动影响无线系统动态。为了实现这一点，研究者将无线电台建模为在动态重复博弈中竞争可用无线资源的理性参与者。针对不同的应用需求、无线条件、多媒体内容和不同的协作水平，确定了最优的资源交换策略，并探讨了在应用/站之间形成联盟的优势。在新的主动模式中，通过调整参与站点的传输策略，资源交换成为可能。目前，这些策略都是在较低的OSI层进行优化，没有考虑多媒体流量的特点。本研究开发了一种新的跨层优化框架，可以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，研究了考虑用户体验和站点资源的以用户为中心的可扩展多媒体编码和流算法。本研究考虑了现有无线网络和下一代频谱敏捷无线网络，其中电台可以利用多个信道，从而动态收集额外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.