US 11,054,843 B2
Self-configuring long term evolution radio access network on unmanned autonomous vehicles
Karthikeyan Sundaresan, Manalapan, NJ (US); Eugene Chai, Monmouth Junction, NJ (US); Sampath Rangarajan, Bridgewater, NJ (US); Mohammad Khojastepour, Lawrenceville, NJ (US); and Ayon Chakraborty, Plainsboro, NJ (US)
Assigned to NEC Corporation
Filed by NEC Laboratories America, Inc., Princeton, NJ (US)
Filed on Mar. 1, 2019, as Appl. No. 16/289,847.
Claims priority of provisional application 62/641,975, filed on Mar. 12, 2018.
Prior Publication US 2019/0278302 A1, Sep. 12, 2019
Int. Cl. B64C 39/02 (2006.01); G01S 19/10 (2010.01); G01S 19/46 (2010.01); G05D 1/10 (2006.01)
CPC G05D 1/104 (2013.01) [B64C 39/024 (2013.01); G01S 19/10 (2013.01); G01S 19/46 (2013.01); B64C 2201/122 (2013.01); B64C 2201/143 (2013.01)] 17 Claims
OG exemplary drawing
 
1. A computer-implemented method for positioning an unmanned autonomous vehicle (UAV) in a long term evolution (LTE) radio access network (RAN), the method comprising:
acquiring, by a processor-device, a position of the UAV with a global position system (GPS);
determining, by the processor-device, physical distances from the UAV to each of a plurality of user equipment (UE) responsive to a time-of-flight (ToF) from the UAV to each of the plurality of UE;
generating, by the processor-device, radio environment maps (REMs) for each of the plurality of UE with signal-to-noise ratios (SNR) from each of the plurality of UEs to the UAV;
selecting, by the processor-device, a determined position for the UAV as a position with a minimum SNR in the REMs;
computing a flight trajectory of the UAV in an operation area of the UAV by resolving a gradient map of differences between SNR in adjacent cells of an aggregate map; and
commanding the UAV to move to the determined position.