Techniques are described herein for a switch strategy based on actor-critic reinforcement learning. This depends on not only the Received Signal Strength Indicator (RSSI) and packet loss rate but also on the distribution of error segments in a packet. The states, actions, and values for the actor-critic model may be defined to fit the switch strategy. The mechanism of dynamical adjustment may depend on the different PHY formats.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.