Uncoded image transmission in cognitive radio systems

Chuang Ye, Gozde Ozcan, Mustafa C Gursoy, Senem Velipasalar

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

Abstract

In this paper, we consider robust uncoded image transmission in cognitive radio systems, where the secondary user initially performs channel sensing with possible sensing errors in the form of false alarms and miss detections, and then sends image data to the secondary receiver with two power levels depending on the sensing decisions (e.g., idle or busy). It is assumed that two dimensional (2-D) Discrete Cosine Transform (DCT) is applied to the image and the resulting DCT coefficients are directly transmitted through the wireless channel under sensing uncertainty. At the secondary receiver, DCT coefficients are first estimated via linear minimum mean square error (LMMSE) or MMSE estimation, then the received image is reconstructed. In this setting, the optimal power levels that minimize the mean squared error (MSE) of LMMSE estimation are obtained subject to average transmit power and average interference power constraints. Also, a low-complexity power control algorithm is proposed. The impact of imperfect sensing decisions and power constraints on the performance of uncoded image transmission in cognitive radio systems is analyzed through simulations. In addition, the performances of estimating DCT coefficient by using MMSE and LMMSE are compared.

Original languageEnglish (US)
Title of host publication2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1219-1223
Number of pages5
ISBN (Print)9781479970889
DOIs
StatePublished - Feb 5 2014
Event2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 - Atlanta, United States
Duration: Dec 3 2014Dec 5 2014

Other

Other2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014
CountryUnited States
CityAtlanta
Period12/3/1412/5/14

Keywords

  • Channel sensing
  • Cognitive radio
  • DCT
  • Image transmission
  • LMMSE
  • MMSE
  • Power control
  • Probability of detection
  • Probability of false alarm
  • Uncoded transmission

ASJC Scopus subject areas

  • Signal Processing
  • Information Systems

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  • Cite this

    Ye, C., Ozcan, G., Gursoy, M. C., & Velipasalar, S. (2014). Uncoded image transmission in cognitive radio systems. In 2014 IEEE Global Conference on Signal and Information Processing, GlobalSIP 2014 (pp. 1219-1223). [7032316] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/GlobalSIP.2014.7032316