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: 1613661
• 负责人: Miao Pan
• 金额: $ 43万
• 依托单位: University of Houston
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-23 至 2020-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1613661&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）是一种革命性的范式，它释放频谱，使次级用户（SU）能够机会性地接入未充分利用的频谱。由于频谱的巨大经济价值，认知无线电技术也推动了许多认知无线电网络（CRN）中的频谱交易设计。不幸的是，大多数现有设计依赖于SU手持设备具有强大的CR能力的前提，这可能不容易嵌入SU设备的轻型小型无线电中。此外，现有的设计主要集中在单跳通信的基于每个用户的频谱交易，而缺乏对多跳端到端服务提供的深入理解。此外，选择最佳频带的流行思想使得次要服务容易由于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。基于这些事实，本项目旨在构建一个研究多跳CRN中频谱交易的框架，包括（1）设计一种新的CRN架构，以方便没有CR能力的SU的接入，（2）将频谱交易扩展到多跳CR通信，（3）在频谱不确定的情况下收获频谱，以及（4）构建细粒度的移动的频谱图。本计画之研究成果可提升频谱交易设计之技术水准，并丰富网路设计与网路经济之科学知识。因此，该项目对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，少数民族学生招聘，培训和指导，以及对K-12学生的推广。

项目成果

Pipe Data Through the Water: Stress Wave Communications Along Pipelines

• DOI: 10.1145/3366486.3366508
• 发表时间: 2019-10
• 期刊: Proceedings of the 14th International Conference on Underwater Networks & Systems
• 作者: Debing Wei;Chaoxian Qi;Jiefu Chen;A. Song;G. Song;M. Pan

Ferrite Assisted Geometry-Conformal Magnetic Induction Antenna and Subsea Communications for AUVs

用于 AUV 的铁氧体辅助几何共形磁感应天线和海底通信

• DOI: 10.1109/glocom.2018.8647396
• 发表时间: 2019
• 期刊: 2018 IEEE Global Communications Conference (GLOBECOM
• 作者: Wei, Debing;Yan, Li;Li, Xuanheng;Wang, Jie;Chen, Jiefu;Pan, Miao;Zheng, Yahong Rosa
• 通讯作者: Zheng, Yahong Rosa

Noncoherent Backscatter Communications Over Ambient OFDM Signals

• DOI: 10.1109/tcomm.2019.2899301
• 发表时间: 2019-02
• 期刊: IEEE Transactions on Communications
• 影响因子: 8.3
• 作者: Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han
• 通讯作者: Mohamed A. Elmossallamy;M. Pan;Riku Jäntti;Karim G. Seddik;Geoffrey Y. Li;Zhu Han

ROV assisted magnetic induction communication field tests in underwater environments

• DOI: 10.1145/3291940.3291988
• 发表时间: 2018-12
• 期刊: Proceedings of the 13th International Conference on Underwater Networks & Systems
• 作者: Debing Wei;S. Soto;Javier Garcia;Aaron T. Becker;Li Wang;M. Pan