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.

无线接入正迅速成为互联网的主要门户，导致对无线数据的需求呈指数级增长。尽管在基础设施方面进行了大量投资以满足不断增长的需求，但这已经将当前的无线系统推向了极限。物理层协作可以实现对可用无线带宽的近乎最佳利用。这个提议从根本上重新思考了物理层的合作，引入了一种随需应变的无线合作方式。可以说，（有线）互联网的成功是由于它的按需运作，利用适应、本地知识、反馈和尽力而为的服务模式。值得注意的是，许多点对点网络协议的成功与按需信息传播和网络适应性密切相关。本提案的总体目标是将这一理念引入无线网络，在可实现系统的复杂性约束下实现无线网络带宽的近乎最佳使用。该项目旨在通过软件无线电测试平台上的概念验证部署来补充理论工作，并与行业合作伙伴一起影响下一代无线网络设计。该项目还通过一项建立独特的大学间教育和研究项目的计划，促进研究工程师的培训，该计划将包括联合和合作的学生咨询和课程开发。大多数网络信息理论工作的基本假设是，人们可以在非常快的时间尺度上构建紧密协调有关无线信道、用户需求和网络拓扑的信息估计和共享的体系结构，而不会影响性能（速率、错误）。也就是说，学习非常动态的网络状态的成本没有被考虑在内。另一个隐含的假设是完整的网络使用，即无线网络中所有可用的中继都被使用，不适应用户需求。在许多情况下，这可能是非常浪费的，而且，不必要使用继电器的成本也没有考虑在内。基于这些假设的许多突破性想法促进了集体理解，但要使物理层合作技术更接近实际网络，还需要采取额外的步骤来超越这些假设。这个项目把一个程序放在一起，发展了按需网络操作的理论基础和实践，省去了这些假设。这需要操作实现目标速率的网络中继的特定子集（子网），而不是使用所有网络中继来实现最佳性能。本项目通过使用可问责的部分网络知识和使用反馈机制来增强信号对未知的适应，构建了如何按需选择、适应和操作这些子网络的理论理解。理论公式与可实现的协议紧密耦合，将在测试台上进行验证。