Method and system for managing a control operation of an unmanned aerial vehicle

1. A method for managing a control operation by an Unmanned Aerial Vehicle (UAV), comprising;

periodically receiving a request for transmission of UAV assistance information from a network entity;

establishing a radio resource control (RRC) connection with the network entity using a unicast communication;

determining, in response to the received request, a triggering of at least one event corresponding to an initiation of a UAV control operation;

transmitting, in an RRC connected state in response to the received request, the UAV assistance information to the network entity based on the determined triggering of the at least one event;

receiving a control message from the network entity in response to the transmitted UAV assistance information, wherein the control message includes information related to an execution of the UAV control operation;

executing the UAV control operation based on the information included in the received control message;

wherein the triggering of the at least one event is determined by the UAV using a pre-trained Artificial Intelligence (AI) based learning model, and the control message further includes a fall-back probability on use of the pre-trained AI-based learning model; and

wherein based on a reliability of the UAV on the pre-trained AI-based learning model being greater than a specified threshold value, the control message further includes a control signalling message for continuing the use of the pre-trained AI-based learning model for determining the triggering of the at least one event with a higher probability, and based on the reliability of the UAV on the pre-trained AI-based learning model being than the specified threshold value, the control message further includes the control signalling message for continuing the use of the pre-trained AI-based learning model for determining the triggering of the at least one event with a lower probability.

2. The method of claim 1 , wherein the request for transmission of UAV assistance information is received as a message through one of a multicast communication, a broadcast communication, or the unicast communication.

3. The method of claim 1 , wherein

the at least one triggered event comprises at least one of a depletion status of a battery of the UAV, a malfunction of the UAV, a variation in data rate, a requirement of a specific service based UAV, and environmental factors related to an environment in which the UAV is positioned to serve one or more User Equipment (UE),

the method further comprising:

receiving as an RRC message, from the one or more UEs, information related to a plurality of performance parameters including signal conditions and a throughput; and

periodically transmitting, to the network entity, UAV assistance information based on including each of information related to the at least one triggered event and the received information related to a plurality of performance parameters into the UAV assistance information.

4. The method of claim 3 , wherein

the UAV assistance information includes information related to information elements (IE) parameters,

the IE parameters include at least one of a respective multiple input multiple output (MIMO) feedback status, number of UEs that are connected to the UAV, field of view (FOV) of the UAV, transmission power of the UAV, average per-user data rate, a 3D space location of the UAV, beamforming parameters, adaptable mandatory access control (MAC) parameters, and each of a transmit bandwidth, operating frequency band, and aggregated carriers before disconnection of the UAV service, a height of the UAV, a battery status of the UAV, location parameters, and a requirement of UAV services, and

the respective MIMO feedback status includes at least one of number of antenna elements, sub-arrays used, inter-antenna element spacing, or sub-array spacing in a case if they are adaptable.

5. The method of claim 3 , wherein

the beamforming parameters include at least one of beam-width, number of beams, beam-width and spectral efficiency trade-off, directionality trade-off, beam-width and coverage trade-off, and selection of optimal code-book for analog beam steering and digital beamforming, and

the adaptable MAC parameters include at least one of a channel access probability and a fall-back trade-off based on UAV network operating on a dual operating frequency mode in one of a mid-band frequency range, an upper mid-band frequency range, high mmWave band, and sub-Terahertz band.

6. The method of claim 1 , wherein the execution of the UAV control operation corresponds to at least one of a replacement of the UAV, a modification of parameters corresponding to the UAV, an addition of an additional UAV, a reallocation of the UAV, and a modification in adaptable MAC parameters including one of a switching probability among frequency bands or back-off time values.

7. The method of claim 1 , further comprising:

determining whether current UAV assistance information is different from the transmitted UAV assistance information based on a comparison of the current UAV assistance information with the transmitted UAV assistance information; and

controlling the triggering of the at least one event based on the determination that the current UAV assistance information is different from the transmitted UAV assistance information and a time value of a timer for initiation of the transmission of the current UAV assistance information.

8. An Unmanned Aerial Vehicle (UAV), comprising:

at least one processor,

wherein the at least one processor is configured to:

periodically receive a request for transmission of UAV assistance information from a network entity;

establish a radio resource control (RRC) connection with the network entity using a unicast communication;

determine, in response to the received request, a triggering of at least one event corresponding to an initiation of a UAV control operation;

transmit, in an RRC connected state in response to the received request, the UAV assistance information to the network entity based on the determined triggering of the at least one event; and

receive a control message from the network entity in response to the transmitted UAV assistance information, wherein the control message includes information related to an execution of the UAV control operation; and

execute the UAV control operation based on the information included in the received control message;

wherein the triggering of the at least one event is determined by the UAV using a pre-trained Artificial Intelligence (AI) based learning model, and the control message further includes a fall-back probability on use of the pre-trained AI-based learning model; and

wherein based on a reliability of the UAV on the pre-trained AI-based learning model being greater than a specified threshold value, the control message further includes a control signalling message for continuing the use of the pre-trained AI-based learning model for determining the triggering of the at least one event with a higher probability, and based on the reliability of the UAV on the pre-trained AI-based learning model being than the specified threshold value, the control message further includes the control signalling message for continuing the use of the pre-trained AI-based learning model for determining the triggering of the at least one event with a lower probability.

9. The Unmanned Aerial Vehicle (UAV) of claim 8 , wherein the request for transmission of UAV assistance information is received as a message through one of a multicast communication, a broadcast communication, or the unicast communication.

10. The Unmanned Aerial Vehicle (UAV) of claim 8 , wherein

the at least one triggered event comprises at least one of a depletion status of a battery of the UAV, a malfunction of the UAV, a variation in data rate, a requirement of a specific service based UAV, and environmental factors related to an environment in which the UAV is positioned to serve one or more User Equipment (UE),

wherein the at least one processor is further configured to:

receive as an RRC message, from the one or more UEs, information related to a plurality of performance parameters including signal conditions and a throughput; and

periodically transmit, to the network entity, UAV assistance information based on including each of information related to the at least one triggered event and the received information related to a plurality of performance parameters into the UAV assistance information.

11. The Unmanned Aerial Vehicle (UAV) of claim 10 , wherein

the UAV assistance information includes information related to information elements (IE) parameters,

the IE parameters include at least one of a respective multiple input multiple output (MIMO) feedback status, number of UEs that are connected to the UAV, field of view (FOV) of the UAV, transmission power of the UAV, average per-user data rate, a 3D space location of the UAV, beamforming parameters, adaptable mandatory access control (MAC) parameters, and each of a transmit bandwidth, operating frequency band, and aggregated carriers before disconnection of the UAV service, a height of the UAV, a battery status of the UAV, location parameters, and a requirement of UAV services, and

the respective MIMO feedback status includes at least one of number of antenna elements, sub-arrays used, inter-antenna element spacing, or sub-array spacing in a case if they are adaptable.

12. The Unmanned Aerial Vehicle (UAV) of claim 10 , wherein

the beamforming parameters include at least one of beam-width, number of beams, beam-width and spectral efficiency trade-off, directionality trade-off, beam-width and coverage trade-off, and selection of optimal code-book for analog beam steering and digital beamforming, and

the adaptable MAC parameters include at least one of a channel access probability and a fall-back trade-off based on UAV network operating on a dual operating frequency mode in one of a mid-band frequency range, an upper mid-band frequency range, high mmWave band, and sub-Terahertz band.

13. The Unmanned Aerial Vehicle (UAV) of claim 7 , wherein the execution of the UAV control operation corresponds to at least one of a replacement of the UAV, a modification of parameters corresponding to the UAV, an addition of an additional UAV, a reallocation of the UAV, and a modification in adaptable MAC parameters including one of a switching probability among frequency bands or back-off time values.

14. The Unmanned Aerial Vehicle (UAV) of claim 8 ,

wherein the at least one processor is further configured to:

determine whether current UAV assistance information is different from the transmitted UAV assistance information based on a comparison of the current UAV assistance information with the transmitted UAV assistance information; and

control the triggering of the at least one event based on the determination that the current UAV assistance information is different from the transmitted UAV assistance information and a time value of a timer for initiation of the transmission of the current UAV assistance information.