Research Article
Research on Intelligent anti-jamming communication with Cognitive Radio
@ARTICLE{10.4108/eai.11-5-2018.155074, author={Jingning Wang and Meng Liu and Yi Zhang}, title={Research on Intelligent anti-jamming communication with Cognitive Radio}, journal={EAI Endorsed Transactions on Cognitive Communications}, volume={4}, number={14}, publisher={EAI}, journal_a={COGCOM}, year={2018}, month={7}, keywords={intelligent anti-jamming communication, transform domain communication system, artificial intelligence algorithm}, doi={10.4108/eai.11-5-2018.155074} }- Jingning Wang
Meng Liu
Yi Zhang
Year: 2018
Research on Intelligent anti-jamming communication with Cognitive Radio
COGCOM
EAI
DOI: 10.4108/eai.11-5-2018.155074
Abstract
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.
Copyright © 2018 Jingning Wang et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.
