Radio frequency (RF) communication system providing enhanced mobile vehicle positioning based upon reward matrices and related methods
A radio frequency (RF) communication system may include of mobile vehicles, with each mobile vehicle including RF equipment and a controller. The controller may be configured to operate the RF equipment, determine a reward matrix based upon possible positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle, and implement a positional adjustment of the mobile vehicle based upon the reward matrix. The system may also include an oversight controller configured to update respective reward matrices of the mobile vehicles.
1. A radio frequency (RF) communication system comprising:
an oversight controller configured to generate a plurality of operational parameter weights, the oversight controller being configured to change the weights based upon Q-learning; and
a plurality of mobile vehicles, each mobile vehicle comprising
RF equipment, and
a controller configured to
determine a reward matrix to communicate with at least one other mobile vehicle based upon a plurality of different positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle,
implement a positional adjustment of the mobile vehicle based upon the reward matrix and the operational parameter weights from the oversight controller to achieve a steady state of operation, wherein the steady state of operation corresponds to a Nash Equilibrium, and
operate the RF equipment after the positional adjustment to relay wireless RF communications directly between adjacent mobile vehicles to define an RF relay network.
2. The RF communication system of claim 1 further comprising a base station and a target station, and wherein the RF relay network relays RF communications between the base station and the target station.
3. The RF communication system of claim 1 wherein the possible positional adjustments include elevational adjustments.
4. The RF communication system of claim 1 wherein the possible positional adjustments include directional adjustments.
5. The RF communication system of claim 1 wherein each controller is configured to implement a positional adjustment of the mobile vehicle based upon the reward matrix and a linear optimization.
6. The RF communication system of claim 1 wherein each mobile vehicle comprises an unmanned aerial vehicle (UAV).
7. A radio frequency (RF) communication system comprising:
an oversight controller configured to generate a plurality of operational parameter weights, the oversight controller being configured to change the weights based upon Q-learning; and
a plurality of mobile vehicles, each mobile vehicle comprising
RF equipment, and
a controller configured to
determine a reward matrix to communicate with adjacent mobile vehicles based upon a plurality of different positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle,
implement a positional adjustment of the mobile vehicle based upon the reward matrix and the operational parameter weights from the oversight controller to achieve a steady state of operation, wherein the steady state of operation corresponds to a Nash Equilibrium, and
operate the RF equipment after the positional adjustment to relay wireless RF communications directly between adjacent mobile vehicles to define an RF relay.
8. The RF communication system of claim 7 further comprising a base station and a target station, and wherein the RF relay network relays RF communications between the base station and the target station.
9. The RF communication system of claim 7 wherein the possible positional adjustments include at least one of elevational adjustments and directional adjustments.
10. The RF communication system of claim 7 wherein each controller is configured to implement a positional adjustment of the mobile vehicle based upon the reward matrix and a linear optimization.
11. A radio frequency (RF) communications method for a plurality of mobile vehicles, each mobile vehicle comprising RF equipment, the method comprising:
at an oversight controller, generating a plurality of operational parameter weights, the oversight controller being configured to change the weights based upon Q-learning; and
at each mobile vehicle,
determining a reward matrix to communicate with at least one other mobile vehicle based upon a plurality of different positional adjustments of the mobile vehicle and associated operational parameters of the mobile vehicle,
implementing a positional adjustment of the mobile vehicle based upon the reward matrix and the operational parameter weights from the oversight controller to achieve a steady state of operation, wherein the steady state of operation corresponds to a Nash Equilibrium, and
operate the RF equipment after the positional adjustment to relay wireless RF communications directly between adjacent mobile vehicles to define an RF relay network.
12. The method of claim 11 further comprising relaying RF communications between a base station and a target station using the RF relay network.
13. The method of claim 11 wherein updating the reward matrices comprises updating the reward matrices by changing weights associated with at least some of the operational parameters.
14. The method of claim 11 wherein the possible positional adjustments include at least one of elevational adjustments and directional adjustments.
15. The method of claim 11 wherein implementing the positional adjustment comprises implementing the positional adjustment of the mobile vehicle based upon the reward matrix and a linear optimization.
16. The method of claim 11 wherein each mobile vehicle comprises an unmanned aerial vehicle (UAV).