Spectrum sensing performance analysis based on primary user probability access/leave model
Song Chen, Shuainan Gu, Ke Li, Peng Dong
Available Online April 2015.
- https://doi.org/10.2991/amcce-15.2015.352How to use a DOI?
- cognitive radio; spectrum sensing; detection probability; probability accessing; probability leaving
- In cognitive radio system, secondary user’s self-sensing properties to the spectrum occupy is the start and basis of the whole cognitive process. The classical analysis of self-sensing properties has the hypothesis that the Primary user signal occupies the whole sensing slot. However, in the actual, primary user may access or leave anytime in the sensing slot. This paper does some discussion and analysis at this fact. Firstly, model according to behavior characteristics of primary user’s probability accessing and leaving. Secondly, derive the probability of primary user’s different length of sample points' appearance in sensing slot. Meanwhile, derive the function expression of secondary user’s average detection probability theoretically in the theoretical framework of energy detection. Finally, the results of numerical simulation verify the rationality of theoretical derivation. Compared with the classical method, the behavior of primary user’s probability accessing and leaving not only changes the trend of self-sensing properties but also makes detection probability of secondary user reduced by more than 50%.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Song Chen AU - Shuainan Gu AU - Ke Li AU - Peng Dong PY - 2015/04 DA - 2015/04 TI - Spectrum sensing performance analysis based on primary user probability access/leave model BT - 2015 International Conference on Automation, Mechanical Control and Computational Engineering PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/amcce-15.2015.352 DO - https://doi.org/10.2991/amcce-15.2015.352 ID - Chen2015/04 ER -