Prosecution Insights
Last updated: April 19, 2026
Application No. 18/685,740

REDUCED CAPABILITY MACHINE LEARNING WITH ASSISTANCE

Non-Final OA §103
Filed
Feb 22, 2024
Examiner
LIN, KENNY S
Art Unit
2416
Tech Center
2400 — Computer Networks
Assignee
Qualcomm Incorporated
OA Round
1 (Non-Final)
69%
Grant Probability
Favorable
1-2
OA Rounds
2y 11m
To Grant
81%
With Interview

Examiner Intelligence

Grants 69% — above average
69%
Career Allow Rate
587 granted / 847 resolved
+11.3% vs TC avg
Moderate +12% lift
Without
With
+11.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 11m
Avg Prosecution
23 currently pending
Career history
870
Total Applications
across all art units

Statute-Specific Performance

§101
6.1%
-33.9% vs TC avg
§103
41.8%
+1.8% vs TC avg
§102
27.8%
-12.2% vs TC avg
§112
13.0%
-27.0% vs TC avg
Black line = Tech Center average estimate • Based on career data from 847 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . DETAILED ACTION Claims 25-50 are presented for examination. Information Disclosure Statement The IDS filed on 2/22/2024 and 9/10/2025 are considered. In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. Claim Rejections - 35 USC § 103 The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claim(s) 25, 27-35 and 49 is/are rejected under 35 U.S.C. 103 as being unpatentable over Tullberg et al (Tullberg), US 2022/0051139, in view of Kovacs et al (Kovacs), US 2022/0335337. As per claim 25, Tullberg teaches the invention including an apparatus for wireless communication at a network node, comprising: One or more memories storing instructions (pp. 0152, 0164, 0167); and One or more processors (pp. 0152, 0156, 0165, 0167), coupled to the one or more memories, configured to execute the instructions and cause the apparatus to: Receive assistance information indicating a second UE to provide assistance relating to training or utilizing a model (pp. 0085, 0112, 0116, 0119, 0233: receive a response for the request for training data); Receive, from the second UE and based at least in part on the assistance information, information based at least in part on a measurement by the second UE (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233); Train a model using the information based at least in part on the measurement (pp. 0143-0145, 0147-0149, 0156-0157, 0162-0163). Tullberg does not teach the network node to be a first user equipment and perform a communication based at least in part on the model. Kovacs teaches the network node to be a user equipment (pp. 0153) and to perform a communication based at least in part on the model (pp. 0163, 0171). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to combine the teaching of Tullberg and Kovacs in order to periodically transmit the model functionalities and reports to the other UEs. As per claim 27, Tullberg and Kovacs teach the invention as claimed in claim 25. Tullberg further teaches wherein the information based at least in part on measurement includes an inference based at least in part on the measurement by the second UE, and wherein the one or more processors, to train the model, are configured to cause the apparatus to train the model using the information based at least in part on the measurement as a ground truth (pp. 0143-0145, 0147-0149, 0156-0157). As per claim 28, Tullberg and Kovacs teach the invention as claimed in claim 25. Tullberg further teaches wherein the first UE is associated with a reduced capability relative to the second UE (pp. 0008-0010). As per claim 29, Tullberg and Kovacs teach the invention as claimed in claim 25. Kovacs further teaches wherein receiving the assistance information is based at least in part on a configuration of the first UE being incompatible with the model (pp. 0145-0149). As per claim 30, Tullberg and Kovacs teach the invention as claimed in claim 29. Kovacs further teaches wherein the configuration of the first UE is incompatible with the model based at least in part on at least one of: A number of antennas of the first UE, A positioning capability of the first UE, or A coverage range of the first UE (pp. 0002, 0174-0181: mobility state). As per claim 31, Tullberg and Kovacs teach the invention as claimed in claim 25. Tullberg further teaches wherein the assistance information is from the second UE (pp. 0085, 0112, 0116, 0119, 0233: receive a response for the request for training data). As per claim 32, Tullberg and Kovacs teach the invention as claimed in claim 25. Kovacs further teaches wherein the assistance information is from a base station (pp. 0204). As per claim 33, Tullberg and Kovacs teach the invention as claimed in claim 25. Tullberg further teaches wherein the one or more processors are configured to cause the apparatus to: Transmit a request for the assistance relating to training or utilizing the model, wherein receiving the assistance information is based at least in part on the request (pp. 0085, 0112, 0116, 0119, 0233: receive a request for training data). As per claim 34, Tullberg and Kovacs teach the invention as claimed in claim 25. Tullberg further teaches wherein receiving the assistance information is based at least in part on establishing a connection with the second UE (pp. 0070, 0086). Kovacs also further teaches wherein receiving the assistance information is based at least in part on establishing a connection with the second UE (pp. 0129). As per claim 35, Tullberg and Kovacs teach the invention as claimed in claim 25. Kovacs further teaches wherein the one or more processors are configured to cause the apparatus to: receive, from a base station prior to training the model, information indicating the model (pp. 0204). As per claim 49, Tullberg teaches the invention including a method of wireless communication performed by a network node, comprising: Receiving assistance information indicating a second UE to provide assistance relating to training or utilizing a model (pp. 0085, 0112, 0116, 0119, 0233: receive a response for the request for training data); Receiving, from the second UE and based at least in part on the assistance information, information based at least in part on a measurement by the second UE (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233); Training a model using the information based at least in part on the measurement (pp. 0143-0145, 0147-0149, 0156-0157, 0162-0163). Tullberg does not teach the network node to be a first user equipment and performing a communication based at least in part on the model. Kovacs teaches the network node to be a user equipment (pp. 0153) and to perform a communication based at least in part on the model (pp. 0163, 0171). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to combine the teaching of Tullberg and Kovacs in order to periodically transmit the model functionalities and reports to the other UEs. Claim(s) 26, 36-48 and 50 is/are rejected under 35 U.S.C. 103 as being unpatentable over Kovacs et al (Kovacs), US 2022/0335337, in view of Tullberg et al (Tullberg), US 2022/0051139. As per claim 26, Kovacs teaches the invention including an apparatus for wireless communication at a first user equipment (UE) (pp. 0153: producer node 200), comprising: One or more memories storing instructions (pp. 0133, 0135); and One or more processors (pp. 0133-0135), coupled to the one or more memories, configured to execute the instructions and cause the apparatus to: transmit assistance information indicating that the first UE to provide assistance relating to training or utilizing a model (pp. 0153-0154: expose its machine learning based assistance capability to the network node); receive information indicating the model (pp. 0155-0157, 0159-0163: machine learning entities can be directly or indirectly provided); provide one or more parameters of the model, to the second UE (pp. 0159-0163, 0171). Kovacs does not teach to train the model based at least in part on a measurement value; and provide a result determined using the model, to a second UE. Tullberg teaches to train a model using at least in part on a measurement value (pp. 0143-0145, 0147-0149, 0156-0157); and provide a result determined using the model (pp. 0148-0149, 0162-0163). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to combine the teaching of Kovacs and Tullberg in order to train the learning model elsewhere in a network device that has high capabilities. As per claim 36, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein the one or more processors are configured to cause the apparatus to: Receive information indicating the measurement value form the second UE (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233). As per claim 37, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein the one or more processors are configured to cause the apparatus to: Receive, from the second UE, an indication to perform a measurement (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233); and Determine the measurement value based at least in part on the measurement (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233). As per claim 38, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein the indication identifies at least one of: A type of the measurement, a target for the measurement value, or a feature for which the measurement is to be performed (pp. 0088-0095, 0109-0112, 0116, 0119, 0155, 0233). As per claim 39, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein the measurement value is an input to the model and the result is an output of the model that is based at least in part on the measurement value (pp. 0143-0145, 0147-0149, 0156-0157). As per claim 40, Kovacs and Tullberg teach the invention as claimed in claim 26. Kovacs further teaches wherein the assistance information is to the second UE (pp. 0153-0154, 0204). As per claim 41, Kovacs and Tullberg teach the invention as claimed in claim 26. Kovacs further teaches wherein the assistance information is to a base station (pp. 0153-0154, 0204). As per claim 42, Kovacs and Tullberg teach the invention as claimed in claim 41. Kovacs further teaches wherein the assistance information is via UE capability signaling (pp. 0153-0157). As per claim 43, Kovacs and Tullberg teach the invention as claimed in claim 26. Kovacs further teaches wherein the assistance information is based at least in part on a condition associated with the first UE (pp. 0137-0138, 0153-0159, 0174-0181). As per claim 44, Kovacs and Tullberg teach the invention as claimed in claim 26. Kovacs further teaches wherein the condition is based at least in part on a battery power associated with the first UE (pp. 0159, 0174-0175). As per claim 45, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein transmitting the assistance information is based at least in part on a request, from the second UE, for assistance relating to training or utilizing the model (pp. 0085, 0112, 0116, 0119, 0233: receive a request for training data). As per claim 46, Kovacs and Tullberg teach the invention as claimed in claim 26. Kovacs further teaches wherein transmitting the assistance information is based at least in part on establishing a connection with the second UE (pp. 0129). Tullberg also further teaches wherein transmitting the assistance information is based at least in part on establishing a connection with the second UE (pp. 0070, 0086). As per claim 47, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein transmitting the assistance information is based at least in part on the first UE and the second UE being located in an environment for a threshold length of time (pp. 0231-0233: data collected for some time while the devices are connected in wireless communication). As per claim 48, Kovacs and Tullberg teach the invention as claimed in claim 26. Tullberg further teaches wherein the second UE is associated with a reduced capability relative to the first UE (pp. 0008-0010). As per claim 50, Kovacs teaches the invention including a method of wireless communication performed by a first user equipment (UE) (pp. 0153: producer node 200), comprising: transmitting assistance information indicating that the first UE to provide assistance relating to training or utilizing a model (pp. 0153-0154: expose its machine learning based assistance capability to the network node); receiving information indicating the model (pp. 0155-0157, 0159-0163: machine learning entities can be directly or indirectly provided); providing one or more parameters of the model, to the second UE (pp. 0159-0163, 0171). Kovacs does not teach to train the model based at least in part on a measurement value; and provide a result determined using the model, to a second UE. Tullberg teaches to train a model using at least in part on a measurement value (pp. 0143-0145, 0147-0149, 0156-0157); and provide a result determined using the model (pp. 0148-0149, 0162-0163). It would have been obvious to one of ordinary skill in the art at the time the invention was filed to combine the teaching of Kovacs and Tullberg in order to train the learning model elsewhere in a network device that has high capabilities. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Echigo et al, WO2023/026414A1 Hirzallah et al, US 2023/0037704 Alabbasi et al, US 2023/0019669 Dunne et al, US 2020/0272899 A shortened statutory period for reply to this Office action is set to expire Three MONTHS from the mailing date of this action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to KENNY S LIN whose telephone number is (571) 272-3968. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Noel Beharry can be reached on 571-270-5630. The fax phone number for the organization where this application or proceeding is assigned is (571) 273-8300. Information regarding the status of an application may be obtained from the Patent Application Information Retrieval (PAIR) system. Status information for published applications may be obtained from either Private PAIR or Public PAIR. Status information for unpublished applications is available through Private PAIR only. For more information about the PAIR system, see http://pair-direct.uspto.gov. Should you have questions on access to the Private PAIR system, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). KENNY S. LIN Examiner Art Unit 2416 /Kenny S Lin/ Primary Examiner, Art Unit 2416 February 20, 2026
Read full office action

Prosecution Timeline

Feb 22, 2024
Application Filed
Feb 20, 2026
Non-Final Rejection — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

1-2
Expected OA Rounds
69%
Grant Probability
81%
With Interview (+11.6%)
2y 11m
Median Time to Grant
Low
PTA Risk
Based on 847 resolved cases by this examiner. Grant probability derived from career allow rate.

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