Airborne relays in cooperative-MIMO systems
An Unmanned Aerial Vehicle (UAV) comprises a situational awareness system coupled to at least one onboard sensor and senses the location of other UAVs. A cooperative Radio Access Network (RAN)-signal processor is configured to process RAN signals cooperatively with at least one other UAV to produce RAN performance criteria. A flight controller provides autonomous navigation control of the UAV's flight based on the relative spatial locations of other UAVs and the RAN performance criteria, which operates within predetermined boundaries of navigation criteria. The UAV can employ mitigation tactics against one or more radio devices identified as a threat and may coordinate other UAVs to conduct such mitigations.
1. An apparatus, comprising:
a Radio Access Network (RAN)-signal processor communicatively coupled to a plurality of Unmanned Aerial Vehicles (UAVs) equipped with onboard radio transceivers, the onboard radio transceivers configured to receive RAN signals transmitted by at least one of a controller and a remote-controlled vehicle, the RAN-signal processor producing RAN performance criteria from the RAN signals;
a Threat Detection System configured to generate threat-detection data; and
a Fleet Manager employing the RAN performance criteria to coordinate flight navigation of the plurality of UAVs, thereby providing for improved reception of the RAN signals by the onboard radio transceivers.
2. The apparatus of claim 1 , wherein at least one of the RAN-signal processor and the radio transceivers comprises at least one Channel State Information (CSI) estimator configured to generate RAN performance criteria corresponding to one or more targets to be attacked.
3. The apparatus of claim 2 , wherein the at least one CSI estimator is configured to characterize at least one RAN channel between at least one of the plurality of UAVs and the one or more targets from at least one of CSI, received signal strength, bit error rate, transmission control messages, error detection, and error control messages.
4. The apparatus of claim 1 , wherein at least one of the Threat Detection System and the Fleet Manager is configured to coordinate the plurality of UAVs to perform at least one of an active attack and a passive attack on the at least one of the controller and the remote-controlled vehicle.
5. The apparatus of claim 1 , wherein the RAN-signal processor comprises a mitigation system configured to perform at least one of a passive attack and an active attack on the at least one of the controller and the remote-controlled vehicle.
6. The apparatus of claim 1 , wherein the Fleet Manager comprises a scheduler configured to schedule particular ones of the plurality of UAVs for at least one of detecting the RAN signals and performing countermeasures.
7. The apparatus of claim 1 , wherein the RAN-signal processor is configured to generate RAN mitigation performance criteria.
8. The apparatus of claim 1 , wherein at least one of the RAN-signal processor, the Threat Detection System, and the Fleet Manager resides in a central coordinator.
9. The apparatus of claim 1 , wherein at least one of the RAN-signal processor, the Threat Detection System, and the Fleet Manager is distributed across multiple UAVs.
10. The apparatus of claim 1 , wherein each of the plurality of UAVs comprises a flight controller configured to provide for autonomous flight and adapt flight rules based on RAN measurements.
11. The apparatus of claim 1 , further comprising a fronthaul network manager configured to formulate a network topology comprising the plurality of UAVs and adapt UAV flight to provide for communication links that operate within predetermined performance criteria.
12. The apparatus of claim 1 , further comprising a situational awareness manager configured to communicate at least one of UAV flight telemetry data, remote sensing data, and UAV position data to the fleet manager.
13. The apparatus of claim 1 , further comprising a synchronization manager configured to synchronize signal processing operations onboard the plurality of UAVs.
14. A method, comprising:
employing a plurality of Unmanned Aerial Vehicles (UAVs) equipped with onboard radio transceivers to receive Radio Access Network (RAN) signals transmitted by at least one of a controller and a remote-controlled vehicle;
producing RAN performance criteria from the RAN signals;
generating threat-detection data; and
employing the RAN performance criteria to coordinate flight navigation of the plurality of UAVs, thereby providing for improved reception of the RAN signals by the onboard radio transceivers.
15. The method of claim 14 , wherein the RAN performance criteria comprises Channel State Information (CSI) corresponding to one or more targets to be attacked.
16. The method of claim 15 , wherein the CSI characterizes at least one RAN channel between at least one of the plurality of UAVs and the one or more targets and is based on at least one of received signal strength, bit error rate, transmission control messages, error detection, and error control messages.
17. The method of claim 14 , further comprising coordinating the plurality of UAVs to perform at least one of an active attack and a passive attack on the at least one of the controller and the remote-controlled vehicle.
18. The method of claim 14 , further comprising scheduling particular ones of the plurality of UAVs for at least one of detecting the RAN signals and performing countermeasures.
19. The method of claim 14 , wherein at least one of producing, generating, and coordinating is performed by a central coordinator.
20. The method of claim 14 , wherein at least one of producing, generating, and coordinating is distributed across multiple UAVs.
21. The method of claim 14 , wherein each of the plurality of UAVs comprises a flight controller configured to provide for autonomous flight and adapt flight rules based on RAN measurements.
22. The method of claim 14 , further comprising formulating a network topology comprising the plurality of UAVs and adapting UAV flight to provide for communication links that operate within predetermined performance criteria.
23. The method of claim 14 , further comprising communicating at least one of UAV flight telemetry data, remote sensing data, and UAV position data to a fleet manager.
24. The method of claim 14 , further comprising synchronizing signal processing operations onboard the plurality of UAVs.
25. A non-transitory computer-readable memory including a set of instructions stored therein and configured to perform the method of claim 14 .
26. An apparatus, comprising:
a processor; and
a non-transitory computer-readable memory coupled to the processor, the memory including a set of instructions stored therein and executable by the processor for:
producing Radio Access Network (RAN) performance criteria from RAN signals received by a plurality of Unmanned Aerial Vehicles (UAVs), the plurality of UAVs equipped with onboard radio transceivers to receive the RAN signals transmitted by at least one of a controller and a remote-controlled vehicle;
generating threat-detection data; and
employing the RAN performance criteria to coordinate flight navigation of the plurality of UAVs, thereby providing for improved reception of the RAN signals by the onboard radio transceivers.
27. The apparatus of claim 26 , wherein the RAN performance criteria comprises Channel State Information (CSI) corresponding to one or more targets to be attacked.
28. The apparatus of claim 26 , wherein the CSI characterizes at least one RAN channel between at least one of the plurality of UAVs and the one or more targets and is based on at least one of received signal strength, bit error rate, transmission control messages, error detection, and error control messages.
29. The apparatus of claim 26 , wherein the memory further includes a set of instructions stored therein and executable by the processor for directing the plurality of UAVs to perform at least one of an active attack and a passive attack on the at least one of the controller and the remote-controlled vehicle.
30. The apparatus of claim 26 , wherein the memory further includes a set of instructions stored therein and executable by the processor for scheduling particular ones of the plurality of UAVs for at least one of detecting the RAN signals and performing countermeasures.
31. The apparatus of claim 26 , wherein at least one of producing, generating, and coordinating is performed by a central coordinator.
32. The apparatus of claim 26 , wherein at least one of producing, generating, and coordinating is distributed across multiple UAVs.
33. The apparatus of claim 26 , wherein each of the plurality of UAVs comprises a flight controller configured to provide for autonomous flight and adapt flight rules based on RAN measurements.
34. The apparatus of claim 26 , wherein the memory further includes a set of instructions stored therein and executable by the processor for formulating a network topology comprising the plurality of UAVs and adapting UAV flight to provide for communication links that operate within predetermined performance criteria.
35. The apparatus of claim 26 , wherein the memory further includes a set of instructions stored therein and executable by the processor for communicating at least one of UAV flight telemetry data, remote sensing data, and UAV position data to a fleet manager.
36. The apparatus of claim 26 , wherein the memory further includes a set of instructions stored therein and executable by the processor for synchronizing signal processing operations onboard the plurality of UAVs.