Cognitive radio device providing radio frequency (RF) jammer capabilities based upon quadratic unconstrained binary optimization (QUBO) objective function and related methods
A cognitive radio device may include a radio frequency (RF) detector operable over an RF spectrum, an RF jammer having a selectable jamming frequency window within the RF spectrum, and a controller. The controller may be configured to cooperate with the RF detector and RF jammer to detect an RF transmission, determine different Quadratic Unconstrained Binary Optimization (QUBO) inputs based upon the detected RF transmission, process the QUBO inputs with a QUBO objective function to determine a new jamming frequency window, and operate the RF jammer at the new jamming frequency window.
1 . A cognitive radio device comprising:
a radio frequency (RF) detector operable over an RF spectrum;
an RF jammer having a selectable jamming frequency window within the RF spectrum; and
a controller configured to cooperate with the RF detector and RF jammer to
detect an RF transmission,
determine a plurality of different Quadratic Unconstrained Binary Optimization (QUBO) inputs based upon the detected RF transmission,
process the QUBO inputs with a QUBO objective function to determine a new jamming frequency window, and
operate the RF jammer at the new jamming frequency window.
2 . The cognitive radio device of claim 1 wherein one of the QUBO inputs corresponds to a difference between a power level associated with the RF transmitter and a power level associated with the RF transmission.
3 . The cognitive radio device of claim 1 wherein one of the QUBO inputs corresponds to an RF power budget for the RF jammer.
4 . The cognitive radio device of claim 1 wherein the new jamming frequency window comprises a plurality of new frequencies; and wherein one of the QUBO inputs corresponds to a number of new frequencies.
5 . The cognitive radio device of claim 1 wherein the controller is configured to operate based upon a machine learning (ML) model.
6 . The cognitive radio device of claim 1 wherein the controller is configured to determine the plurality of different QUBO inputs based upon a hysteresis of switching of the detected RF transmission.
7 . The cognitive radio device of claim 1 wherein the RF spectrum is within the ultra-high frequency (UHF) band.
8 . A method for using a cognitive radio device comprising a radio frequency (RF) detector operable over an RF spectrum and an RF jammer having a selectable jamming frequency window within the RF spectrum, the method comprising:
detecting an RF transmission using the RF detector;
determining a plurality of different Quadratic Unconstrained Binary Optimization (QUBO) inputs based upon the detected RF transmission;
processing the QUBO inputs with a QUBO objective function to determine a new jamming frequency window; and
operating the RF jammer at the new jamming frequency window.
9 . The method of claim 8 wherein one of the QUBO inputs corresponds to a difference between a power level associated with the RF transmitter and a power level associated with the RF transmission.
10 . The method of claim 8 wherein one of the QUBO inputs corresponds to an RF power budget for the RF jammer.
11 . The method of claim 8 wherein the new jamming frequency window comprises a plurality of new frequencies; and wherein one of the QUBO inputs corresponds to a number of new frequencies.
12 . The method of claim 8 wherein determining comprises determining the plurality of different QUBO inputs based upon a hysteresis of switching of the detected RF transmission.
13 . The method of claim 8 wherein determining comprises determining the plurality of different QUBO inputs based upon a machine learning (ML) model.
14 . The method of claim 8 wherein the RF spectrum is within the ultra-high frequency (UHF) band.
15 . A non-transitory computer-readable medium for a cognitive radio device comprising a radio frequency (RF) detector operable over an RF spectrum and an RF jammer having a selectable jamming frequency window within the RF spectrum, the non-transitory computer-readable medium having computer-executable instructions for causing the cognitive radio device to perform steps comprising:
detecting an RF transmission using the RF detector;
determining a plurality of different Quadratic Unconstrained Binary Optimization (QUBO) inputs based upon the detected RF transmission;
processing the QUBO inputs with a QUBO objective function to determine a new jamming frequency window; and
operating the RF jammer at the new jamming frequency window.
16 . The non-transitory computer-readable medium of claim 15 wherein one of the QUBO inputs corresponds to a difference between a power level associated with the RF transmitter and a power level associated with the RF transmission.
17 . The non-transitory computer-readable medium of claim 15 wherein one of the QUBO inputs corresponds to an RF power budget for the RF jammer.
18 . The non-transitory computer-readable medium of claim 15 wherein the new jamming frequency window comprises a plurality of new frequencies; and wherein one of the QUBO inputs corresponds to a number of new frequencies.
19 . The non-transitory computer-readable medium of claim 15 wherein determining comprises determining the plurality of different QUBO inputs based upon a hysteresis of switching of the detected RF transmission.
20 . The non-transitory computer-readable medium of claim 15 wherein determining comprises determining the plurality of different QUBO inputs based upon a machine learning (ML) model.
21 . The non-transitory computer-readable medium of claim 15 wherein the RF spectrum is within the ultra-high frequency (UHF) band.