# US 2023/0053572 A1 · Enhancement on mmw scg measurement configuration and adding/switching > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2023/0053572 A1 - Document ID: US20230053572A1 - Status: Published application - Kind: A1 - Application number: 17/404,850 - Filed: 2021-08-17 - Published: 2023-02-23 - Earliest claimed: 2021-08-17 - Assignees: QUALCOMM Incorporated - Applicants: QUALCOMM Incorporated - Inventors: Ming YANG; Kausik RAY CHAUDHURI; Juan MONTOJO - Web page: https://patentgrep.com/patent/US20230053572A1 ## CPC - H04W 64/006: {with additional information processing, e.g. for direction or speed determination} - H04W 24/10: Scheduling measurement reports {; Arrangements for measurement reports} - H04W 60/04: using triggered events - H04W 76/15: Setup of multiple wireless link connections - H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72) ## Abstract This disclosure provides systems, devices, apparatus, and methods, including computer programs encoded on storage media, for an SCG measurement configuration and adding/switching enhancement. A UE may receive information associated with an MCG and training, based on at least one of the information associated with the MCG or historical information of the UE for an SCG, an ML model of UE, of network and interworking in between that indicates whether a location of the UE is within a coverage area of the SCG. The UE may communicate with a base station based on an indication of the ML model. The indication of the ML model may be indicative of whether the UE is within the coverage area of the SCG. ## Claims ### Claim 1 An apparatus for wireless communication at a user equipment (UE), comprising: a memory; and at least one processor coupled to the memory and configured to: receive information associated with a master cell group (MCG); train, based on at least one of the information associated with the MCG or historical information of the UE for a secondary cell group (SCG), a machine learning (ML) model that indicates whether a location of the UE is within a coverage area of the SCG; and communicate with a base station based on an indication of the ML model, the indication of the ML model indicative of whether the UE is within the coverage area of the SCG. ### Claim 2 (depends on 1) The apparatus of claim 1, wherein the information associated with the MCG is indicative of at least one of a reference signal received power (RSRP), a timing advance (TA), a power headroom (PHR), or channel state information (CSI). ### Claim 3 (depends on 2) The apparatus of claim 2, wherein the MCG corresponds to at least one of an MCG serving cell, an MCG intra-frequency neighbor cell, or an MCG inter-frequency neighbor cell. ### Claim 4 (depends on 3) The apparatus of claim 3, wherein the at least one of the RSRP, the TA, the PHR, or the CSI corresponds to at least one of a serving beam of the MCG serving cell, a non-serving beam of the MCG serving cell, a strongest beam of the MCG neighbor cell, or a non-strongest beam of the MCG neighbor cell. ### Claim 5 (depends on 1) The apparatus of claim 1, wherein the at least one processor is further configured to receive the indication of the ML model indicative of whether the UE is within the coverage area of the SCG. ### Claim 6 (depends on 1) The apparatus of claim 1, wherein to communicate with the base station the at least one processor is further configured to refrain from transmitting, to the base station, a request for an SCG measurement configuration and an SCG activation indication, if the UE is not within the coverage area of the SCG. ### Claim 7 (depends on 1) The apparatus of claim 1, wherein to communicate with the base station the at least one processor is further configured to transmit, to the base station, a request for at least one of an SCG measurement configuration or an SCG activation indication, if the UE is within the coverage area of the SCG. ### Claim 8 (depends on 7) The apparatus of claim 7, wherein the at least one processor is further configured to: receive the at least one of the SCG measurement configuration or the SCG activation indication; and transmit, to the base station, a report associated with the at least one of the SCG measurement configuration or the SCG activation indication. ### Claim 9 (depends on 7) The apparatus of claim 7, wherein the at least one processor is further configured to retrain the ML model based on not receiving the at least one of the SCG measurement configuration or the SCG activation indication for a predetermined amount of time after transmitting, to the base station, the request for the at least one of the SCG measurement configuration or the SCG activation indication. ### Claim 10 (depends on 1) The apparatus of claim 1, wherein the at least one processor is further configured to transmit, to the base station, the indication of the ML model indicative of whether the location of the UE is within the coverage area of the SCG. ### Claim 11 (depends on 10) The apparatus of claim 10, wherein the indication of the ML model is based on at least one of the ML model being trained at the UE or the ML model being configured to the UE from the base station. ### Claim 12 (depends on 10) The apparatus of claim 10, wherein the indication of the ML model is associated with a first level of confidence for being weighted with a second indication of a second ML model at the base station associated with a second level of confidence, the communication with the base station based on a weighted level of confidence for whether the UE is within the coverage area of the SCG. ### Claim 13 (depends on 12) The apparatus of claim 12, wherein a weight for the indication of the ML model is further based on a capability of the UE. ### Claim 14 (depends on 1) The apparatus of claim 1, wherein the indication of the ML model indicative of whether the UE is within the coverage area of the SCG is based on a second indication of a second ML model associated with the base station. ### Claim 15 (depends on 1) The apparatus of claim 1, further comprising at least one of an antenna or a transceiver coupled to the at least one processor. ### Claim 16 An apparatus for wireless communication at a base station, comprising: a memory; and at least one processor coupled to the memory and configured to: receive at least one of information associated with a master cell group (MCG) or historical information for a secondary cell group (SCG); train, based on the at least one of the information associated with the MCG or the historical information for the SCG, a machine learning (ML) model that indicates whether a location of at least one user equipment (UE) is within a coverage area of the SCG; and communicate with the at least one UE based on an indication of the ML model, the indication of the ML model indicative of whether the at least one UE is within the coverage area of the SCG. ### Claim 17 (depends on 16) The apparatus of claim 16, wherein the information associated with the MCG is indicative of at least one of a reference signal received power (RSRP), a timing advance (TA), a power headroom (PHR), or channel state information (CSI). ### Claim 18 (depends on 17) The apparatus of claim 17, wherein the MCG corresponds to at least one of an MCG serving cell, an MCG intra-frequency neighbor cell, or an MCG inter-frequency neighbor cell. ### Claim 19 (depends on 18) The apparatus of claim 18, wherein the at least one of the RSRP, the TA, the PHR, or the CSI corresponds to at least one of a serving beam of the MCG serving cell, a non-serving beam of the MCG serving cell, a strongest beam of the MCG neighbor cell, or a non-strongest beam of the MCG neighbor cell. ### Claim 20 (depends on 16) The apparatus of claim 16, wherein the at least one processor is further configured to receive the indication of the ML model indicative of whether the at least one UE is within the coverage area of the SCG. ### Claim 21 (depends on 16) The apparatus of claim 16, wherein to communicate with the at least one UE the at least one processor is further configured to refrain from transmitting, to the at least one UE, an SCG measurement configuration and an SCG activation indication, if the at least one UE is not within the coverage area of the SCG. ### Claim 22 (depends on 16) The apparatus of claim 16, wherein to communicate with the at least one UE the at least one processor is further configured to transmit, to the at least one UE, at least one of an SCG measurement configuration or an SCG activation indication, if the at least one UE is within the coverage area of the SCG. ### Claim 23 (depends on 22) The apparatus of claim 22, wherein the at least one processor is further configured to: receive, from the at least one UE, a report associated with the at least one of the SCG measurement configuration or the SCG activation indication; and retrain the ML model based on the report received from the at least one UE. ### Claim 24 (depends on 22) The apparatus of claim 22, wherein the at least one processor is further configured to retrain the ML model based on not receiving a report associated with the at least one of the SCG measurement configuration or the SCG activation indication for a predetermined amount of time after transmitting, to the at least one UE, the at least one of the SCG measurement configuration or the SCG activation indication. ### Claim 25 (depends on 16) The apparatus of claim 16, wherein the at least one processor is further configured to receive, from the at least one UE, a second indication of whether the location of the at least one UE is within the coverage area of the SCG. ### Claim 26 (depends on 25) The apparatus of claim 25, wherein the second indication is based on at least one of the ML model being configured to the at least one UE or a second ML model that is trained at the at least one UE. ### Claim 27 (depends on 25) The apparatus of claim 25, wherein the indication of the ML model is associated with a first level of confidence and the second indication of the second ML model is associated with a second level of confidence, the at least one processor further configured to: weight the indication of the ML model based on the first level of confidence and the second indication of the second ML model based on the second level of confidence to provide a weighted level of confidence for whether the at least one UE is within the coverage area of the SCG, the communication with the at least one UE based on the weighted level of confidence. ### Claim 28 (depends on 16) The apparatus of claim 16, further comprising at least one of an antenna or a transceiver coupled to the at least one processor. ### Claim 29 A method of wireless communication at a user equipment (UE), comprising: receiving information associated with a master cell group (MCG); training, based on at least one of the information associated with the MCG or historical information of the UE for a secondary cell group (SCG), a machine learning (ML) model that indicates whether a location of the UE is within a coverage area of the SCG; and communicating with a base station based on an indication of the ML model, the indication of the ML model indicative of whether the UE is within the coverage area of the SCG. ### Claim 30 A method of wireless communication at a base station, comprising: receiving at least one of information associated with a master cell group (MCG) or historical information for a secondary cell group (SCG); training, based on the at least one of the information associated with the MCG or the historical information for the SCG, a machine learning (ML) model that indicates whether a location of at least one user equipment (UE) is within a coverage area of the SCG; and communicating with the at least one UE based on an indication of the ML model, the indication of the ML model indicative of whether the at least one UE is within the coverage area of the SCG.