Review Article
Application of Reinforcement Learning in Cognitive Radio Networks: Models and Algorithms
Table 6
RL model for joint DCS and channel sensing [
34].
| State | ; each substate indicates an idle or busy channel; specifically, if PU activity does not exist in channel , and if PU activity exists in channel |
| Action | ; each action represents a single channel available for data transmission |
| Reward | |
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