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

这项提案寻求为纽约理工学院网站(LEAD)、弗吉尼亚大学网站和奥本大学网站进行的无线互联网高级技术中心(WICAT)研究提供资金。基础研究的资金申请由NSF批准的请愿书授权，NSF 10-507。征集邀请研究所/大学合作研究中心提交支持行业定义的基础研究的建议。这项建议是一项旨在显著提高无线网络容量的综合性研究项目。在过去的几十年里，无线设备和无线网络呈指数级增长。虽然无线网络为我们带来了移动性和新应用的便利，但它们受到带宽瓶颈的限制。行业和频谱监管机构正试图分配更多带宽，但仍落后于无线网络的带宽增长。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。这项研究不仅将对研究界做出重大贡献，而且对无线产业和频谱监管机构也具有非常重要的价值。该提案旨在利用协作和认知技术消除无线系统瓶颈，具有实现广泛的新无线应用的潜力。PIs将利用现有的项目，如NSF Reus以及与塔斯基吉和新墨西哥州北部学院的合作，这些项目的重点是将来自代表性不足群体的学生纳入研究。纽约大学保利分校的学生群体相当多样化。申请的大部分资金都用于学生支持。Pisa lo打算将这项工作纳入纽约大学保利分校的新研究生课程和奥本大学教唆认可的新课程。传播的轮廓很清楚：给NSF的报告，给他们的IAB的报告，期刊和会议论文，并使由此产生的软件包开源。

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.