EAGER: SC2: A Systems Approach to Spectrum Collaboration

EAGER：SC2：频谱协作的系统方法

• 批准号: 1738114
• 负责人: Swarun Kumar
• 金额: $ 10万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2017
• 资助国家: 美国
• 起止时间: 2017-04-01 至 2018-03-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1738114&HistoricalAwards=false
• 关键词: EAGER; SC2; Systems; Approach; Spectrum

Wireless spectrum is a precious resource that can only be meaningfully used when access is controlled. Current mechanisms for control are largely legislative, granting organizations and individuals the right to exclude others. Exclusive use of frequency ranges over time and space can be highly inefficient - denying non-interfering, would-be users access despite under-utilization by rights holders. Spectrum collaboration is advanced as an alternative control mechanism in which intelligence on the part of transceiver equipment is used to simultaneously govern access and maximize utilization. Such intelligence is manifested in the form of sophisticated algorithms and supporting flexible radio and computing hardware. This proposal takes a systems approach to spectrum collaboration. The PIs propose new approaches to understand and classify activities within a range of frequencies and to study and evolve channel access protocols that are both proactive (getting data through) and polite (assisting others in the mission of getting their data through). More broadly, the investigators seek to create novel protocols and tools to facilitate spectrum sharing.The proposed research is built on three pillars: (a) improved spectrum sharing through PHY-layer optimization techniques such as beamforming and interference cancellation, (b) mechanisms to learn the RF environment and spectrum usage patterns using reinforcement learning and signal classification, and (c) defining a model for spectrum sharing, called channel-as-society (CAS). The investigators contend that advances in these three domains have direct applicability to the practice of spectrum collaboration and the DARPA Spectrum Collaboration Challenge (SC2) in particular. The investigators' ongoing joint work on Low-Power Wide-Area Networking (LP-WAN) serves as a testbed for some of the concepts relevant to SC2, both informing and being informed by the proposed research. In addition, the investigators plan to co-teach a Special Topics course in Wireless Networks and Mobile Computing specifically targeting the SC2 problem statement, engaging the students in the creation of novel SC2 concepts and techniques.

无线频谱是一种宝贵的资源，只有在接入受到控制的情况下才能有意义地使用。目前的控制机制主要是立法性的，给予组织和个人排斥他人的权利。在时间和空间上独占使用频率范围可能是非常低效的-拒绝非干扰的潜在用户访问，尽管权利持有者未充分利用。频谱协作是一种先进的替代控制机制，其中收发器设备的智能用于同时管理接入并最大化利用率。这种智能表现在复杂的算法和支持灵活的无线电和计算硬件的形式。该提案采用系统方法进行频谱协作。PI提出了新的方法来理解和分类频率范围内的活动，并研究和发展信道访问协议，这些协议既具有主动性（通过数据），又具有礼貌性（帮助其他人完成使命）。更广泛地说，研究人员寻求创建新的协议和工具，以促进频谱共享。拟议的研究建立在三个支柱上：（a）通过PHY层优化技术（例如波束成形和干扰消除）改进的频谱共享，（B）使用强化学习和信号分类来学习RF环境和频谱使用模式的机制，以及（c）定义用于频谱共享的模型，称为频道即社会（CAS）。研究人员认为，这三个领域的进展直接适用于频谱合作的实践，特别是DARPA频谱合作挑战赛（SC2）。研究人员正在进行的关于低功耗广域网（LP-WAN）的联合工作可以作为与SC2相关的一些概念的测试平台，为拟议的研究提供信息和信息。此外，研究人员计划共同教授一门无线网络和移动的计算的专题课程，专门针对SC2问题陈述，让学生参与创建新的SC2概念和技术。