From: Very-low-SNR cognitive receiver based on wavelet preprocessed signal patterns and neural network
PBCCS | Cognitive radio | |
---|---|---|
Objective | To improve data transmission performance under bandwidth limitations by maximizing the LSE value with respect to SNR level. | To efficiently manage the spectrum by using the unoccupied spectrum band when it is not used by the licensed user. |
Transmitter side | It selects one signal pattern from the glossary space in adaptive manner. | It uses the frequency bandwidth in an adaptive manner with respect to channel availability. |
Receiver side | The distorted signal is recovered by a trained ANN. Recovering the information without separate demodulation, decoding and error recovery operations. | Receiver must have a wide-band front-end to detect spectrum holes. It should take into account the adaptive modulation feature, since some receivers employs AMC. Many ML algorithms can be used. |
Modulation technique | AFPSKa | QAM, QPSK, BPSK, …etc. |
Cognition manager | Glossary selector (GS) | Cognitive engine(CE) |