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Volumn , Issue , 2007, Pages

Machine learning based cognitive communications in white as well as the gray space

Author keywords

Classification; Cognitive communications; Feature extraction; Gray space; Machine learning; Policy sets and game theory; Signal detection; White space

Indexed keywords

ADAPTIVE WAVEFORM DESIGNS; DEFENSE ADVANCED RESEARCH PROJECTS AGENCY (DARPA); FEATURE IDENTIFICATION; INCREMENTAL LEARNING; LEARNING MODULES; MACHINE-LEARNING; NEW IDEAS; PATTERN CLASSIFICATIONS; SCENE ANALYSIS; SIGNAL CLASSIFICATION; SIGNAL TRANSMISSIONS; SPACE UTILIZATION; SPECTRUM HOLES; SUB SPACES; TECHNOLOGY ADVANCES; WAVEFORMS; WHITE SPACE;

EID: 47949107161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/MILCOM.2007.4455246     Document Type: Conference Paper
Times cited : (11)

References (12)
  • 2
    • 13844296408 scopus 로고    scopus 로고
    • Cognitive Radio: Brain-Empowered Wireless Communications
    • Feb
    • S. Haykin, "Cognitive Radio: Brain-Empowered Wireless Communications," IEEE J. Select. Areas Commun., vol. 23, no. 2, pp. 201-220, Feb. 2005.
    • (2005) IEEE J. Select. Areas Commun , vol.23 , Issue.2 , pp. 201-220
    • Haykin, S.1
  • 3
    • 47949126679 scopus 로고    scopus 로고
    • IEEE 802. 22 Working Group on Wireless Regional Area Networks (WRANs), for a cognitive radiobased PHY/MAC/air-interface for use by license-exempt devices on a non-interfering basis in spectrum that is allocated to the TV Broadcast Service: http://grouper.ieee.org/groups/SOS/22/, IEEE Std. 802.22, 2005.
    • IEEE 802. 22 Working Group on Wireless Regional Area Networks (WRANs), for a cognitive radiobased PHY/MAC/air-interface for use by license-exempt devices on a non-interfering basis in spectrum that is allocated to the TV Broadcast Service: http://grouper.ieee.org/groups/SOS/22/, IEEE Std. 802.22, 2005.
  • 4
    • 47949087010 scopus 로고    scopus 로고
    • http://www.ieeepl900.org
    • The IEEE Standards Coordinating Committee 41 for Dynamic Spectrum Access Networks DySpan, P
    • The IEEE Standards Coordinating Committee 41 for Dynamic Spectrum Access Networks (DySpan): http://www.ieeepl900.org, IEEE Std. P1900, 2005.
    • (2005) IEEE Std , pp. 1900
  • 5
    • 47949102280 scopus 로고    scopus 로고
    • IEEE Standard for Wireless Personal Area Networks Based on the Bluetooth™ vl.1 Foundation Specifications. http://www.ieee80S.org/15/pub/ TG1.html, IEEE Std. 802.15.1, 2002.
    • IEEE Standard for Wireless Personal Area Networks Based on the Bluetooth™ vl.1 Foundation Specifications. http://www.ieee80S.org/15/pub/ TG1.html, IEEE Std. 802.15.1, 2002.
  • 6
    • 47949113866 scopus 로고    scopus 로고
    • IEEE Standard 802.11g-2003, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Higher-speed Physical Layer Extension in the S.4 GHz Band., IEEE Std. 802.11, 2003.
    • IEEE Standard 802.11g-2003, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Higher-speed Physical Layer Extension in the S.4 GHz Band., IEEE Std. 802.11, 2003.
  • 7
    • 47949111149 scopus 로고    scopus 로고
    • IEEE Standard 802. Hg, Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications: Amendment 4- Further Higher Data Rate Extension in the S.4 GHz Band., IEEE Std. 802.11, 2003.
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  • 8
    • 0026119462 scopus 로고
    • Tutorial on Higer-Order Statistics (Spectra) in Signal Processing and Systems Theory: Theoretical Results and Some Applications
    • Mar
    • J. M. Mendel, "Tutorial on Higer-Order Statistics (Spectra) in Signal Processing and Systems Theory: Theoretical Results and Some Applications," IEEE Trans. Signal Processing, vol. 79, no. 3, pp. 278-305, Mar. 1991.
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    • Mendel, J.M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.