Collaborative Research: Unlocking Capacity for Wireless Networks Using Cooperative and Cognitive Techniques

该提案为纽约理工学院站点（牵头）、弗吉尼亚大学站点和奥本大学站点进行的无线互联网先进技术中心（WICAT）研究寻求资金。基础研究的资助申请由 NSF 批准的征集 NSF 10-507 授权。 此次征集邀请 I/UCRC 提交支持行业定义的基础研究的提案。 该提案是一个旨在显着提高无线网络容量的综合研究项目。在过去的几十年里，无线设备和无线网络呈指数级增长。无线网络虽然给我们带来了移动的便利和新的应用，但也受到带宽瓶颈的限制。行业和频谱监管机构正在尝试分配更多带宽，但仍然落后于无线网络带宽的增长。因此，更有效地利用频谱资源至关重要。拟议的工作旨在减少干扰，包括合作和认知网络。这项研究不仅将为研究界做出重大贡献，而且对无线行业和频谱监管机构也非常有价值。该提案旨在利用协作和认知技术消除无线系统瓶颈，并有可能实现广泛的新无线应用。 PI 将利用现有项目，例如 NSF REU 以及与塔斯基吉和北新墨西哥学院的合作，重点是将来自代表性不足群体的学生纳入研究。纽约大学理工学院的学生群体相当多元化。大部分请求的资金将用于学生支持。比萨学院打算将这项工作纳入纽约大学理工学院新的研究生课程和奥本大学新的 ABET 认证项目中。传播过程有明确的概述：向 NSF 报告、向 IAB 报告、期刊和会议论文以及将生成的软件包开源。

This proposal seeks funding for the Center for Wireless Internet Center for Advanced Technology (WICAT) studies conducted by the Polytechnic Institute of New York site (lead), the University of Virginia site and the site at Auburn University. Funding Requests for Fundamental Research are authorized by an NSF approved solicitation, NSF 10-507. The solicitation invites I/UCRCs to submit proposals for support of industry-defined fundamental research. This proposal is a comprehensive research project for significantly improving the capacity of wireless networks. In past decades, there has been an exponential growth of wireless devices and wireless networks. While wireless networks have brought us the convenience of mobility and new applications, they are limited by bandwidth bottlenecks. The industry and spectrum regulators are trying to allocate more bandwidth, but they still fall behind the bandwidth increases in wireless networks. Thus it is critically important to use spectrum resources more efficiently. The proposed work aims to decrease interference, including cooperative and cognitive networking. This research will not only make significant contributions to the research community, but also be very valuable for the wireless industry and spectrum regulators.This proposal aims to eliminate wireless system bottlenecks using cooperative and cognitive technologies, with the potential of enabling a broad spectrum of new wireless applications. The PIs will exploit existing programs, such as NSF REUs and the collaboration with Tuskegee and Northern New Mexico College, which focus on including students from underrepresented groups in the research. The student body at NYU-Poly is quite diverse. Most of the requested funding is going toward student support. The Pisa lo intend to incorporate this work into the new graduate course at NYU-Poly and the new ABET-accredited program at Auburn. Dissemination is clearly outlined: reports to NSF, reports to their IAB, journal and conference papers and making the resulting software packages open source.