Optical self-interference cancellation system for improved spectrum sensing in cognitive radios

Matthew P. Chang, Paul R. Prucnal, Yanhua Deng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

We propose and experimentally demonstrate an optical self-interference cancellation system to enable more efficient spectrum management and sensing in cognitive radios. The optical system is a radio-frequency front-end module, which cancels in-band self-interference, permitting a radio to simultaneously transmit and receive. By cancelling enough self-interference, a cognitive radio can perform continuous spectrum sensing, even while transmitting, to detect the presence of a licensed user or to scan for spectrum white spaces. The system achieves 83 dB of narrowband interference cancellation, and 60 dB of cancellation of a 50 MHz frequency-modulated signal. The center frequency of the optical canceler is freely tunable across the radio frequency spectrum, limited only by the bandwidth of the photodetector and the electro-optic modulators to 10 GHz. The system is modulation-format independent and requires only one piece of hardware to operate across a wide bandwidth.

Original languageEnglish (US)
Title of host publication2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages188-191
Number of pages4
ISBN (Electronic)9781479979936
DOIs
StatePublished - Jul 22 2015
Event15th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2015 - Rome, Italy
Duration: Jun 10 2015Jun 13 2015

Publication series

Name2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 - Conference Proceedings

Other

Other15th IEEE International Conference on Environment and Electrical Engineering, EEEIC 2015
Country/TerritoryItaly
CityRome
Period6/10/156/13/15

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering
  • Energy Engineering and Power Technology

Keywords

  • cognitive radio
  • microwave photonics
  • self-interference cancellation
  • spectrum sensing

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