Bayesian Energy Detection Based on Temporal Persistence

DOI

10.2991/isaeece-16.2016.44How to use a DOI?

Keywords

cognitive radio, temporal persistence, Bayesian energy detection

Abstract

Energy detection is one of the classical methods for spectrum sensing in Cognitive radio (CR). Previous research on energy detection is almost based on single time slot, while the communication process of the primary user (PU) is hardly completed in one time slot. In this study, the authors consider 2-slot temporal persistence (TP) that PU maintains the same state (absence or presence) for at least 2 slots. Since we cannot know the actual state of PU in spectrum sensing, two kinds of TP results are obtained, based on which an improved TP-based Bayesian Energy Detection (ITPBED) is proposed. Simulation results show that, compared with TPBED, ITPBED scheme can achieve significant reduction in false alarm probability, missed detection probability and Bayesian cost when signal-to-noise ratio (SNR) is less than -10 dB; in other SNR regions, the performance of ITPBED scheme is also superior to Bayesian Energy Detection (BED) scheme.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Renyang Gao
AU  - Shengliang Peng
AU  - Rui Zhao
AU  - Weibin Zheng
PY  - 2016/04
DA  - 2016/04
TI  - Bayesian Energy Detection Based on Temporal Persistence
BT  - Proceedings of the 2016 International Symposium on Advances in Electrical, Electronics and Computer Engineering
PB  - Atlantis Press
SP  - 228
EP  - 233
SN  - 2352-5401
UR  - https://doi.org/10.2991/isaeece-16.2016.44
DO  - 10.2991/isaeece-16.2016.44
ID  - Gao2016/04
ER  -