Optimized signal to noise ratio threshold based on transmission power and complexity of cognitive detector

  • Authors:

  • Jingmin Tang;Tao Luo;Jinbo Wu;Jianfeng Li;Guangxin Yue

  • Affiliations:

  • Lab of Wireless Communication Systems and Networks, Beijing University of Posts and Telecommunications;Lab of Wireless Communication Systems and Networks, Beijing University of Posts and Telecommunications;Lab of Wireless Communication Systems and Networks, Beijing University of Posts and Telecommunications;Lab of Wireless Communication Systems and Networks, Beijing University of Posts and Telecommunications;Lab of Wireless Communication Systems and Networks, Beijing University of Posts and Telecommunications

  • Venue:
  • WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
  • Year:
  • 2009

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Abstract

Scarcity of the spectrum is becoming a major issue based on traditional frequency planning scheme, cognitive radio(CR) has been proposed for better spectrum utilization efficiency by intelligently sensing and opportunistic access. In this paper, a novel method is proposed to determine signal to noise ratio threshold(SNRT) based on transmission power and complexity of cognitive detector under lognormal shadowing conditions. Since there is tradeoff between detection probability and false alarm probability, we can maximize spectrum utilization efficiency with pre-determined detection performance, meanwhile SNRT is adjusted to void unacceptable interference to primary receiver(PR) and minimize complexity of cognitive detector according to transmission power. Numerical results will show that cognitive radio can adjust SNRT adaptively in order to guarantee the PR decoding signal from primary transmitter(PT) without unacceptable interference.