Research on Intelligent anti-jamming communication with Cognitive Radio

Wang, Jingning and Liu, Meng and Zhang, Yi (2019) Research on Intelligent anti-jamming communication with Cognitive Radio. EAI Endorsed Transactions on Cognitive Communications, 4 (14): e1. ISSN 2313-4534

[thumbnail of eai.11-5-2018.155074.pdf]
eai.11-5-2018.155074.pdf - Published Version
Available under License Creative Commons Attribution No Derivatives.

Download (2MB) | Preview


In order to solve the interfere problem in complex electromagnetic environment, NC-OFDM and TDCS are efficient transmit wave form proposed for cognitive radio. The spectral efficiency and the applicable environment of TDCS are different from NC-OFDM. The simulation results show that NC-OFDM can obtain the higher spectral efficiency and the required SINR is higher, and TDCS can work well in lower SINR environment with different spreading factor. When there is little spectrum hole, spread spectrum is a better choice. There is no threshold of some parameter which can make decision. An artificial intelligence algorithm is proposed to select the optimal one from several wave forms. The input parameters of the algorithm include SINR, interference bandwidth, spectrum holes, etc.

Item Type: Article
Uncontrolled Keywords: intelligent anti-jamming communication, transform domain communication system, artificial intelligence algorithm
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
QA75 Electronic computers. Computer science
Depositing User: EAI Editor II.
Date Deposited: 10 Sep 2020 14:09
Last Modified: 10 Sep 2020 14:09

Actions (login required)

View Item
View Item