CAREER: SpecMax: Spectrum Trading and Harvesting Designs for Multi-Hop Communications in Cognitive Radio Networks

职业：SpecMax：认知无线电网络中多跳通信的频谱交易和收集设计

• 批准号: 1350230
• 负责人: Miao Pan
• 金额: $ 43万
• 依托单位: Texas Southern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-01 至 2016-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1350230&HistoricalAwards=false
• 关键词: CAREER; SpecMax; Spectrum; Trading; Harvesting

Cognitive radio (CR) is a revolutionary paradigm that releases spectrum and enables secondary users (SUs) to opportunistically access under-utilized spectrum. Due to the great economic value of spectrum, CR technology has also promoted many spectrum-trading designs in cognitive radio networks (CRNs). Unfortunately, most existing designs rely on the premise that the SUs hand-held devices have powerful CR capability, which may not be easily embedded into lightweight small-sized radios of SUs' devices. Besides, existing designs mainly focus on per-user based spectrum trading for single-hop communications, and lack deep understanding of multi-hop end-to-end service provision. Moreover, the prevalent idea of choosing the best band makes secondary services vulnerable to interruption due to the returns of primary users. Finally, to facilitate spectrum trading, more accurate information of spectrum availability should be provided. Motivated by these facts, this project aims to construct a framework to investigate the spectrum trading in multi-hop CRNs, which includes the study of (1) designing a novel CRN architecture to facilitate the accessing of SUs without CR capability, (2) extending spectrum trading for multi-hop CR communications, (3) harvesting spectrum under spectrum uncertainty, and (4) constructing a fine-grained mobile spectrum map. The results of this project can advance the state of the art in spectrum trading designs and enrich the scientific knowledge of network designs and network economics. The project is thus crucial to the success of CRNs, which can provide great opportunities for job creation, greater productivity, and economic growth. This project also involves research publications/talks, curriculum development, minority student recruitment, training and mentoring, and outreach to K-12 students.

认知无线电（CR）是一种革命性的范例，它释放频谱并使二级用户（SU）能够机会性地访问未充分利用的频谱。由于频谱巨大的经济价值，CR技术也推动了认知无线电网络（CRN）中的许多频谱交易设计。不幸的是，大多数现有设计都依赖于SU手持设备具有强大的CR能力的前提，这可能不容易嵌入到SU设备的轻量级小型无线电中。此外，现有设计主要侧重于单跳通信的基于每个用户的频谱交易，缺乏对多跳端到端服务提供的深入理解。此外，选择最佳频段的普遍观念使得次要服务很容易因主要用户的返回而中断。最后，为了促进频谱交易，应提供更准确的频谱可用性信息。受这些事实的启发，本项目旨在构建一个框架来研究多跳 CRN 中的频谱交易，其中包括研究 (1) 设计一种新颖的 CRN 架构，以方便没有 CR 能力的 SU 的接入，(2) 扩展多跳 CR 通信的频谱交易，(3) 在频谱不确定性下收获频谱，以及 (4) 构建细粒度的移动频谱图。该项目的成果可以推进频谱交易设计的最先进水平，并丰富网络设计和网络经济学的科学知识。因此，该项目对于 CRN 的成功至关重要，它可以为创造就业机会、提高生产力和经济增长提供巨大的机会。该项目还涉及研究出版物/讲座、课程开发、少数族裔学生招募、培训和指导以及对 K-12 学生的外展。