Prosecution Insights
Last updated: April 19, 2026
Application No. 18/296,799

Network Configured Operation of User Equipment With Artificial Intelligence/Machine Learning Model Capability

Non-Final OA §103
Filed
Apr 06, 2023
Examiner
KIM, WESLEY LEO
Art Unit
2648
Tech Center
2600 — Communications
Assignee
Sharp Kabushiki Kaisha
OA Round
3 (Non-Final)
60%
Grant Probability
Moderate
3-4
OA Rounds
4y 5m
To Grant
93%
With Interview

Examiner Intelligence

Grants 60% of resolved cases
60%
Career Allow Rate
208 granted / 344 resolved
-1.5% vs TC avg
Strong +33% interview lift
Without
With
+32.8%
Interview Lift
resolved cases with interview
Typical timeline
4y 5m
Avg Prosecution
16 currently pending
Career history
360
Total Applications
across all art units

Statute-Specific Performance

§101
5.6%
-34.4% vs TC avg
§103
51.9%
+11.9% vs TC avg
§102
20.1%
-19.9% vs TC avg
§112
14.9%
-25.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 344 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 . Response to Arguments Applicant’s arguments with respect to claim(s) 1, 13, and 15 have been considered but are moot in view of a new grounds of rejection. Claim Rejections - 35 USC § 103 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 (i.e., changing from AIA to pre-AIA ) 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. 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. Claims 1, 13, and 15 are rejected under 35 U.S.C. 103 as being unpatentable over Wang (US 20250015861) and Shen (US 20220342713). Regarding Claim 1, Wang teaches a network node which communicates with a user equipment (UE) over a radio interface (Par.350), the network node comprising: transmission circuitry configured to transmit a message which requests the UE to report UE capability (Par.350, “capability inquiry”); and reception circuitry configured to receive run-time Artificial Intelligence/Machine Learning (AI/ML) capability of a channel state information (CSI) functionality from the UE (Par.350-352, “AI/ML capability for CSI measurement”, note: “run-time” is interpreted as “at time of the request”), the run-time AI/ML capability being based on a UE condition (i.e. UE is powered on) and a network configuration (Par.350-352, communication occurs. Examiner notes: when communication occurs between UE and network device the network’s configuration (e.g. protocols, resource allocations, parameter settings, tx power, reporting period, etc) must be evaluated/considered by the UE when communication occurs and naturally shapes UE behavior and Par.62: “a terminal device may be designed to transmit information to a network on a predetermined schedule, when triggered by an internal or external event, or in response to requests from the wireless communication network”, this further reads on evaluating network configuration), however Wang does not explicitly teach wherein the run-time AI/ML capability of the CSI functionality varies dynamically based on an evaluation of the UE condition and the network configuration. To address the shortcomings of Wang, Shen in the same field of endeavor, teaches that it very well known for the run-time AI/ML capability of an AI/ML service (Par.52, AI/ML service is a service provided by the UE utilizing AI/ML) {the CSI functionality} to vary dynamically based on an evaluation of the UE condition and the network configuration (Par.52, Par.79 and Par.97, provides capability information such as available computing power, overhead, battery capacity, etc. for AI/ML service and Par.80, “when the network device requests the terminal to report the AI/ML capability information”, this further reads on network configuration). AI/ML capability of an AI/ML service taught in Wang can obviously be applied to the AI/LM capability of CSI functionality as taught by Shen. Therefore, it would have been obvious before the effective filing date of the invention to modify the invention of Wang with the Shen such that the transmission and reception of run-time Artificial Intelligence/Machine Learning (AI/ML) capability of a channel state information (CSI) functionality from the UE can be dynamically varied based on the device condition and the network configuration. This would ensure an enhanced system is provided where the network configuration (i.e. protocols, tx power, reporting period, etc.) and the devices condition (i.e. powered on, available computing power, overhead, battery capacity, etc) are considered such that quality-of-service standards can be met without the phone dying or getting disconnected due to low battery, overloaded processing power, or lack of resources due to maxed out overhead. Regarding Claim 13, the rejection of Claim 1 fully addresses all limitations of the User equipment as recited in Claim 13. Regarding Claim 15, the rejection of Claim 1 fully addresses all the limitations of the method in a User Equipment as recited in Claim 15. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to WESLEY LEO KIM whose telephone number is (571)272-7867. The examiner can normally be reached 9-5:30 M-F. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /WESLEY L KIM/Supervisory Patent Examiner, Art Unit 2648
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Prosecution Timeline

Apr 06, 2023
Application Filed
May 21, 2025
Non-Final Rejection — §103
Sep 22, 2025
Response Filed
Oct 15, 2025
Final Rejection — §103
Jan 09, 2026
Request for Continued Examination
Jan 23, 2026
Response after Non-Final Action
Feb 25, 2026
Non-Final Rejection — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12598543
SYSTEMS AND METHODS FOR RETRIEVING RAN INFORMATION
2y 5m to grant Granted Apr 07, 2026
Patent 12550217
METHOD FOR NETWORK CONFIGURATION, NON-TRANSITORY COMPUTER READABLE STORAGE MEDIUM, BASE STATION, CLEANING DEVICE AND CLEANING SYSTEM
2y 5m to grant Granted Feb 10, 2026
Patent 12505558
METHOD, COMPUTER PROGRAM, DEVICE, AND SYSTEM FOR TRACKING A TARGET OBJECT
2y 5m to grant Granted Dec 23, 2025
Patent 12341920
VEHICLE IMMERSIVE COMMUNICATION SYSTEM
2y 5m to grant Granted Jun 24, 2025
Patent 9723429
METHOD FOR DELIVERING NOTIFICATION MESSAGES IN M2M SYSTEM AND DEVICES FOR SAME
2y 5m to grant Granted Aug 01, 2017
Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
60%
Grant Probability
93%
With Interview (+32.8%)
4y 5m
Median Time to Grant
High
PTA Risk
Based on 344 resolved cases by this examiner. Grant probability derived from career allow rate.

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