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Table 1 Comparison between pattern based cognitive communication system and cognitive radio

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)

  1. aAmplitude frequency phase shift keying