Providing Spectrum Information Service Using TV White Space via Distributed Detection System

被引:12
|
作者
Chen, Zhenjia [1 ]
Zhang, Yonghui [1 ]
机构
[1] Hainan Univ, Dept Was Sch Informat & Commun Engn, Haikou 570228, Hainan, Peoples R China
基金
中国国家自然科学基金;
关键词
Multicast; phase extreme range estimation; TV White Space (TVWS); distributed detection;
D O I
10.1109/TVT.2019.2921383
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Electromagnetic spectrum resources are a very important resource. With the rapid development of radio technology, electromagnetic spectrum resources have become scarce. Abuse of spectrum resources and interference with primary user often occur. Pre-sensing the electromagnetic environment and performing dynamic spectrum access is the direction of future wireless technology development. This paper focuses on the electromagnetic spectrum information service platform. We design a spectrum detection node in combination with an embedded system. The distributed spectrum detection network is constructed by using the TV White Space as the communication frequency band of the backbone network. From the perspective of signal source, research on detection and identification methods based on radio signal characteristics improves the efficiency of electromagnetic spectrum detection. A phase extreme range estimation method based on radio frequency I/Q data is proposed to improve signal estimation accuracy in a low signal-noise-ratio environment. The interquartile range is proposed to distinguish noise and signal. The experiment results show that distributed electromagnetic spectrum information service platform based on signal characteristics can improve detection accuracy and increase system flexibility.
引用
收藏
页码:7655 / 7667
页数:13
相关论文
共 50 条
  • [1] Distributed Spectrum Management in TV White Space Networks
    Elias, Jocelyne
    Martignon, Fabio
    Chen, Lin
    Krunz, Marwan
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2017, 66 (05) : 4161 - 4172
  • [2] Using TV Receiver Information to Increase Cognitive White Space Spectrum
    Ellingsaeter, Brage
    Bezabih, Hemdan
    Noll, Josef
    Maseng, Torleiv
    2012 IEEE INTERNATIONAL SYMPOSIUM ON DYNAMIC SPECTRUM ACCESS NETWORKS, 2012, : 131 - 141
  • [3] Distributed Spectrum Management in TV White Space Cognitive Radio Networks
    Elias, Jocelyne
    Krunz, Marwan
    2015 IFIP NETWORKING CONFERENCE (IFIP NETWORKING), 2015,
  • [4] Trade Information, Not Spectrum: A Novel TV White Space Information Market Model
    Luo, Yuan
    Gao, Lin
    Huang, Jianwei
    2014 12TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT), 2014, : 405 - 412
  • [5] Providing Vehicular Infotainment Service Using VHF/UHF TV Bands via Spatial Spectrum Reuse
    Chen, Jiacheng
    Liu, Bo
    Zhou, Haibo
    Gui, Lin
    Liu, Ning
    Wu, Yiyan
    IEEE TRANSACTIONS ON BROADCASTING, 2015, 61 (02) : 279 - 289
  • [6] HySIM: A Hybrid Spectrum and Information Market for TV White Space Networks
    Luo, Yuan
    Gao, Lin
    Huang, Jianwei
    2015 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (INFOCOM), 2015,
  • [7] Implementation and Performance Evaluation of a Distributed TV White Space Sensing System
    Ha-Nguyen Tran
    Alemseged, Yohannes D.
    Harada, Hiroshi
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2014, E97B (02) : 305 - 313
  • [8] Information Market for TV White Space
    Luo, Yuan
    Gao, Lin
    Huang, Jianwei
    2014 IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS), 2014, : 604 - 609
  • [9] Whisper: IoT in the TV White Space Spectrum
    Chakraborty, Tusher
    Shi, Heping
    Kapetanovic, Zerina
    Priyantha, Bodhi
    Vasisht, Deepak
    Vu, Binh
    Pandit, Parag
    Pillai, Prasad
    Chabria, Yaswant
    Nelson, Andrew
    Daum, Michael
    Chandra, Ranveer
    PROCEEDINGS OF THE 19TH USENIX SYMPOSIUM ON NETWORKED SYSTEMS DESIGN AND IMPLEMENTATION (NSDI '22), 2022, : 401 - 417
  • [10] Whisper: IoT IN THE TV WHITE SPACE SPECTRUM
    Chakraborty, Tusher
    Shi, Heping
    Kapetanovic, Zerina
    Priyantha, Bodhi
    Vasisht, Deepak
    Vu, Binh
    Pandit, Parag
    Pillai, Prasad
    Chabria, Yaswant
    Nelson, Andrew
    Daum, Michael
    Chandra, Ranveer
    GETMOBILE-MOBILE COMPUTING & COMMUNICATIONS REVIEW, 2022, 26 (04) : 32 - 35