I/UCRC: Collaborative Research: Unlocking Spectrum Efficiency for Future Wireless Networks

I/UCRC：合作研究：释放未来无线网络的频谱效率

• 批准号: 1230918
• 负责人: Alfredo Garcia
• 金额: $ 4万
• 依托单位: University of Virginia Main Campus
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-08-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1230918&HistoricalAwards=false
• 关键词: UCRC; Collaborative; Research; Unlocking; Spectrum

Efficient use of limited spectrum is emerging as a major issue in wireless systems. The proposed work focuses on technologies that provide better understanding of wireless networks and greatly enhance spectrum efficiency. with three coupled thrusts: (i) wireless network modeling; (ii) mechanisms for efficient spectrum sharing; and (iii) exploiting enhanced spectrum efficiency for wireless video communications. The project also includes an experimental research component in which the developed approaches will be implemented and tested on the cognitive radio testbed hosted at Virginia Tech and the cooperative networking testbed hosted at NYU-Poly.The proposed research plans to systematically investigate several of the unique technical challenges and open problems in enhancing radio spectrum efficiency, and supporting emerging video services. This fundamental research will support the development of technologies that achieve new levels of efficiency and quality in wireless broadband services, and will help alleviate the wireless bandwidth limits now being experienced. The work is supported by the Industry Advisory Board as well as individual industry members of the center and has the potential to extend the centers portfolio. The PIs plan to disseminate the work to their industry members and the broader industry and academic community via open-source software as wel as introduce the content within their degree and outreach programs.

有限频谱的有效使用正成为无线系统中的主要问题。拟议的工作重点关注能够更好地了解无线网络并大大提高频谱效率的技术。有三个共同的推力：（i）无线网络建模;（ii）用于有效频谱共享的机制;以及（iii）利用增强的频谱效率用于无线视频通信。该项目还包括一个实验研究部分，其中开发的方法将在弗吉尼亚理工大学的认知无线电测试平台和纽约大学-Poly的合作网络测试平台上实施和测试。拟议的研究计划系统地调查几个独特的技术挑战和开放的问题，以提高无线电频谱效率，并支持新兴的视频服务。这项基础研究将支持技术的发展，使无线宽带服务的效率和质量达到新的水平，并将有助于缓解目前正在经历的无线带宽限制。这项工作得到了行业咨询委员会以及该中心各个行业成员的支持，并有可能扩大该中心的投资组合。PI计划通过开源软件向其行业成员以及更广泛的行业和学术界传播这项工作，并在其学位和推广计划中介绍这些内容。