CAREER: Next Generation Network Coding: Distributed Design Via Coded Feedback

Internet和无线网络对异构服务的需求呈指数级增长，这给设计具有更高吞吐量、更好的抗攻击能力和更强的敏感信息安全性的下一代网络提出了新的紧迫性和挑战，最近出现了一种新的网络编码范式，它可能以最优方式同时实现上述目标。尽管如此，要充分实现其预期的好处，需要一个干净的石板的网络代码设计方法，实现最佳的性能，并保持低复杂性，同时快速响应不断变化的网络环境。为此，研究人员研究编码反馈，它概括了传统的反馈机制，承认非编码的流量，通过纳入独特的代数结构的网络编码。本研究首先探讨了编码的前向和反馈数据包之间的联合代数性质，这是下一代网络代码的新的，有效的网络协议的concilientdevelopment的基础。特别是，调查人员感兴趣的编码反馈的作用，将thenon编码网络资源分配算法，以他们的编码为导向的同行。编码反馈所携带的丰富信息被用来设计协议，提供增强的全局和局部错误保护和数据安全性，同时自适应网络变化。该方案的理论研究紧密结合了无线网络的动态信道质量和干扰特性以及协议的复杂性等实际情况。系统级的实现被用来验证和进一步完善该方案的理论研究结果。编码理论，图论和网络优化的协调方法为普渡大学的学生提供了宝贵的跨学科培训。

The exponentially increasing demands for heterogenous servicesover Internet and wireless networks have imposed new urgencyand great challenges for designing next-generation networksthat achieve higher throughput, better resiliency to adversaryattacks, and stronger security for sensitive information.Recently, a new network coding paradigm has emerged, whichpotentially achieves the above goals simultaneously in anoptimal fashion. Nonetheless, to realize fully its promisedbenefits requires a clean-slate methodology of network codedesign that achieves optimal performance and maintains lowcomplexity while reacting quickly to the ever changing networkenvironment.To that end, the investigators study coded feedback, whichgeneralizes the conventional feedback mechanism thatacknowledges non-coded traffic by incorporating the uniquealgebraic structure of network-coding. This research firstexplores the joint algebraic properties between coded forwardand feedback packets, which are the basis for the subsequentdevelopment of new, efficient network protocols for nextgeneration network codes. In particular, the investigators areinterested in the roles of coded feedback that transform thenon-coding network resource allocation algorithms to theircoding-oriented counterparts. The rich information carried bycoded feedback is then used to design protocols that offerenhanced global and local error protection and data securitywhile self-adapting to network changes. The theoretic studiesof this program follow closely practical considerationsincluding the dynamic channel quality and the interferencenature of wireless networks and the complexity of the resultingprotocols. System-level implementation is used to verify andfurther refine the theoretic findings of this program. Thecoordinated approaches of coding theory, graph theory, andnetwork optimizations provide valuable interdisciplinarytraining for students with Purdue University.