Signal detection for spectrum sensing with uncertain arrivals of traffics

Wen Long Chin, Yin Je Hwang, Ya Xuan Lin

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

Abstract

Due to random arrivals of primary user signals, their timing misalignment issue should be considered for spectrum sensing in cognitive radio (CR) systems, such as CR based femtocell networks. To deal with this issue in the literature, two approaches were recommended, including Bayesian and generalized likelihood ratio test (GLRT) detectors. However, Bayesian test requires the perfect knowledge of the distribution of unknown parameters. Therefore, it is considered to be impractical due to its implementation complexity. To design a low complexity energy detector (ED), this work proposes an ED scheme based on GLRT algorithm. As a result, maximum-likelihood (ML) estimation for the timing misalignment is devised, and the performance of the proposed scheme is analyzed. The results show that the proposed GLRT detector features a low complexity and satisfactory performance.

Original languageEnglish
Title of host publication2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
EditorsZhuo Tang, Jiayi Du, Shu Yin, Renfa Li, Ligang He
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2185-2189
Number of pages5
ISBN (Electronic)9781467376822
DOIs
Publication statusPublished - 2016 Jan 13
Event12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015 - Zhangjiajie, China
Duration: 2015 Aug 152015 Aug 17

Publication series

Name2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015

Other

Other12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015
CountryChina
CityZhangjiajie
Period15-08-1515-08-17

All Science Journal Classification (ASJC) codes

  • Discrete Mathematics and Combinatorics
  • Modelling and Simulation
  • Computer Networks and Communications
  • Control and Systems Engineering

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