Spectrum sensing gain analysis in cooperative cognitive radio networks

Dian Wu Yue, Qian Wang, Chung Ming Lau

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

Abstract

In order to quantify the impact of channel and/or diversity scheme on the probability of mission detection, a concept of sensing gain was defined recently by us, very similar to diversity gain, which determines the slope of probability of missing detection versus average signal-to-noise ratio (SNR) curve. The sensing gain is an important performance target, and very useful in the performance analysis of spectrum sensing in cognitive radio (CR) networks. In this paper, we analyze spectrum sensing performance in cooperative CR networks with N CR nodes and a fusion center, and focus on the problem of determining their sensing gain. It is assumed that all channel links from the primary user to the CR nodes and from the CR nodes to the fusion center are flat Rayleigh fading, and the fusion center utilizes the K out of N rule (such as the Majority rule) as its fusion rule. It is shown that (1) the sensing gain can be designed to be equal to N-K+1 for the K out of N rule; and (2) the sensing gain can become N/2 for the Majority rule by setting an appropriate SNR threshold for the fusion center.
Original languageEnglish
Title of host publication2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
DOIs
Publication statusPublished - 25 Nov 2010
Event2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010 - Chengdu, China
Duration: 23 Sep 201025 Sep 2010

Conference

Conference2010 6th International Conference on Wireless Communications, Networking and Mobile Computing, WiCOM 2010
Country/TerritoryChina
CityChengdu
Period23/09/1025/09/10

Keywords

  • Cognitive radio
  • Cooperative diversity
  • Missing probability
  • Sensing gain
  • Spectrum sensing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Communication

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