Multi-user reinforcement learning-based cognitive wireless network anti-hostile interference method
A cognitive wireless network and reinforcement learning technology, which is applied in the field of cognitive wireless network anti-hostile interference based on multi-user reinforcement learning, can solve problems such as increasing the difficulty of anti-interference
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[0030] The following examples will further illustrate the present invention.
[0031] Embodiments of the present invention include the following steps:
[0032] 1) The cognitive source node initializes the learning factor α s , discount factor γ s , step size n, learning rate (δ l and δ w ), the current launch strategy π s (t s , u s )=1 / |A s |, Q s Table of values, V s The value table and the number of occurrences of state t C(t s ) value is 0;
[0033] 2) The cognitive source node perceives the state t when the step size n=1, according to the hybrid launch strategy Choose an action from state t conduct appropriate exploration;
[0034] 3) The cognitive source node first needs to detect the access state σ of the primary user every time. When the primary user accesses the target channel at the current moment, the cognitive source node selects the transmission power 0; otherwise, the state t is based on the hybrid transmission strategy π s (t s , u s ) from st...
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