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EURASIP Journal on Wireless Communications and Networking
Fig. 8 | EURASIP Journal on Wireless Communications and Networking

Fig. 8

From: Q-learning-based dynamic joint control of interference and transmission opportunities for cognitive radio

Fig. 8

Q-learning mechanism of the proposed scheme. In the proposed Q-learning system, the sensor acts as an agent and uses sensing time and reply time as an action. In an environment where the PU operates in an alternating busy/idle state, it obtains the interference ratio and the transmission opportunity loss ratio for the action, and uses it to change the state and calculate the reward

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