CIF: Medium: Collaborative Research: On-demand Physical Layer Cooperation

CIF：媒介：协作研究：按需物理层协作

• 批准号: 1514531
• 负责人: Suhas Diggavi
• 金额: $ 66.7万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-07-01 至 2020-06-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1514531&HistoricalAwards=false
• 关键词: CIF; Medium; Collaborative; Research; demand

Wireless access is fast becoming the primary portal to the Internet, causing an exponentially rising demand for wireless data. This has pushed current wireless systems to their limits, despite significant investment in infrastructure to meet the ever-growing demands. Physical layer cooperation can enable near-optimal usage of the available wireless bandwidth.This proposal fundamentally rethinks physical-layer cooperation by introducing an on-demand approach to wireless cooperation. It can be argued that the success of the (wired) Internet was made possible by its on-demand operation, using adaptation, local knowledge, feedback and a best-effort service model. Notably, the success of many peer-to-peer network protocols is closely tied to on-demand information propagation and adaptation of the network. The broad goal of this proposal is to bring this philosophy to wireless networks, enabling near-optimal usage of the wireless network bandwidth within the complexity constraints of implementable systems. This project aims to complement the theoretical work with proof-of-concept deployments on software radio testbeds, and also engage industry partners to impact next-generation wireless network designs. The project also promotes training of research engineers, through a plan to establish a unique inter-university education and research program, which will include joint and collaborative student advising and curricular development. The underlying assumption of most network information theory works is that one can build architectures which tightly coordinate the estimation and sharing of information about the wireless channels, the user requirements and the network topology, at a very fast time-scale, without impacting the performance (rates, error). That is, the cost of learning the very dynamic network state is not accounted for. Another implicit assumption is complete network usage, that all available relays in a wireless network are used, with no adaptation to user demand. This can be very wasteful in many situations, and again, the cost of unnecessarily using relays is not accounted for. The many breakthrough ideas based on these assumptions have advanced a collective understanding, but bringing physical layer cooperation techniques closer to practical networks requires additional steps to move beyond these assumptions. This project puts together a program that develops the theoretical foundations and practice of an on-demand network operation, that dispenses with these assumptions. This entails operating specific subsets of the network relays (sub-networks) that fulfill target rates, as opposed to using all network relays to achieve the best possible performance. This project constructs a theoretical understanding of how to select, adapt and operate these sub-networks on demand, by using accountable partial network knowledge and using feedback mechanisms to enhance signal adaptation to the unknown. The theoretical formulations are tightly coupled to implementable protocols that will be validated in test beds.

无线访问迅速成为Internet的主要门户，导致对无线数据的需求呈指数增长。 尽管对基础架构进行了大量投资以满足不断增长的需求，但仍将当前的无线系统推向了其限制。物理层的合作可以使可用无线带宽的近乎最佳使用。该提案通过引入按需的无线合作方法来重新考虑物理层合作。可以说，使用适应性，本地知识，反馈和最佳富度服务模型，通过其按需操作使（有线）Internet的成功成为可能。值得注意的是，许多对等网络协议的成功与按需信息传播和网络的适应密切相关。该提案的广泛目标是将这种理念带到无线网络，从而在可实施系统的复杂性约束中近乎最佳地使用无线网络带宽。该项目旨在通过软件无线电测试台上的概念验证部署来补充理论工作，并让行业合作伙伴影响下一代无线网络设计。 该项目还通过建立独特的大学间教育和研究计划的计划来促进研究工程师的培训，该计划将包括联合和协作学生建议和课程发展。大多数网络信息理论工作的基本假设是，可以在非常快速的时间尺度上建立紧密协调有关无线渠道，用户需求和网络拓扑信息的信息的架构，而不会影响性能（费率，错误）。也就是说，学习非常动态的网络状态的成本未计算。另一个隐含的假设是完整的网络使用情况，即使用无线网络中的所有可用继电器，而没有适应用户需求。在许多情况下，这可能非常浪费，而且不必要使用继电器的成本被解释为不必要的。基于这些假设的许多突破性想法已经提出了集体的理解，但是将物理层合作技术更接近实用网络需要其他步骤，以超越这些假设。该项目汇总了一个计划，该计划开发了按需网络操作的理论基础和实践，该计划可以分配这些假设。这需要实现目标率的网络继电器（子网络）的操作特定子集，而不是使用所有网络继电器来实现最佳性能。该项目通过使用负责任的部分网络知识并使用反馈机制来增强信号适应未知的信号，从而构建了如何根据需求选择，适应和操作这些子网络的理论理解。理论配方与将在测试床中验证的可实施协议紧密耦合。