Cooperative spectrum sensing in cognitive radio networks with weighted decision fusion scheme

Edward C.Y. Peh, Ying Chang Liang, Yong Liang Guan, Yonghong Zeng

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

13 Citations (Scopus)

Abstract

In cognitive radio networks, both the sensing time and the fusion schemes used for cooperative spectrum sensing affect the detection probabilities of the primary users and the throughput of the secondary users. Therefore, joint optimization of the sensing time and the cooperative fusion scheme has been studied before in terms of sensing-throughput tradeoff design. In this paper, different from the previous studies, we consider the case that each secondary user may have different detection signalto- noise ratio (SNR), and requires different threshold for energy detection. Weightings are used to weigh the decisions from the secondary users before combining. A new algorithm is proposed to compute the thresholds for the secondary users and the optimal weightings for the decisions are shown. Computer simulations are presented to show the performance of the proposed algorithm.

Original languageEnglish
Title of host publication2010 IEEE 71st Vehicular Technology
DOIs
Publication statusPublished - 2010
Externally publishedYes
Event2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring - Taipei, Taiwan, Province of China
Duration: May 16 2010May 19 2010

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252

Conference

Conference2010 IEEE 71st Vehicular Technology Conference, VTC 2010-Spring
Country/TerritoryTaiwan, Province of China
CityTaipei
Period5/16/105/19/10

ASJC Scopus Subject Areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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