US 12,238,602 B2
AI/ML based mobility related prediction for handover
Xipeng Zhu, San Diego, CA (US); Ozcan Ozturk, San Diego, CA (US); Punyaslok Purkayastha, San Diego, CA (US); Rajeev Kumar, San Diego, CA (US); and Shankar Krishnan, San Diego, CA (US)
Assigned to QUALCOMM Incorporated, San Diego, CA (US)
Filed by QUALCOMM Incorporated, San Diego, CA (US)
Filed on Jun. 21, 2022, as Appl. No. 17/808,072.
Prior Publication US 2023/0413152 A1, Dec. 21, 2023
Int. Cl. H04W 36/32 (2009.01); H04L 5/00 (2006.01); H04W 36/30 (2009.01)
CPC H04W 36/32 (2013.01) [H04L 5/0053 (2013.01); H04W 36/30 (2013.01)] 30 Claims
OG exemplary drawing
 
1. An apparatus for wireless communication at a source network node, comprising:
memory; and
at least one processor coupled to the memory and, based at least in part on information stored in the memory, the at least one processor is configured to:
receive at least one mobility related prediction associated with at least one target network node, the at least one mobility related prediction being derived by at least one neural network; and
handover a user equipment (UE) from the source network node to the at least one target network node based on the at least one mobility related prediction received from the at least one target network node.