Prosecution Insights
Last updated: October 04, 2026
Application No. 18/920,402

METHODS FOR ARTIFICIAL INTELLGENCE/MACHINE LEARNING (AI/ML)-BASED ON/OFF PATTERN CONFIGURATION FOR WTRU POWER SAVING

Non-Final OA §102
Filed
Oct 18, 2024
Examiner
PATEL, CHANDRAHAS B
Art Unit
2464
Tech Center
2400 — Computer Networks
Assignee
InterDigital Inc.
OA Round
1 (Non-Final)
89%
Grant Probability
Favorable
1-2
OA Rounds
7m
Est. Remaining
96%
With Interview

Examiner Intelligence

Grants 89% — above average
89%
Career Allowance Rate
814 granted / 919 resolved
+30.6% vs TC avg
Moderate +7% lift
Without
With
+7.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 7m
Avg Prosecution
19 currently pending
Career history
927
Total Applications
across all art units

Statute-Specific Performance

§101
7.8%
-32.2% vs TC avg
§103
40.5%
+0.5% vs TC avg
§102
41.1%
+1.1% vs TC avg
§112
5.5%
-34.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 919 resolved cases

Office Action

§102
DETAILED ACTION Specification The lengthy specification has not been checked to the extent necessary to determine the presence of all possible minor errors. Applicant’s cooperation is requested in correcting any errors of which applicant may become aware in the specification. Claim Objections Claims 4 and 11 are objected to because of the following informalities: Claim 4 uses NW acronym for the first time in the claim set. Each acronym should be expanded at least once when first used in the claim set. Claim 11 uses DRX acronym for the first time in the claim set. Each acronym should be expanded at least once when first used in the claim set. Appropriate correction is required. Claim Rejections - 35 USC § 102 The following is a quotation of the appropriate paragraphs of 35 U.S.C. 102 that form the basis for the rejections under this section made in this Office action: A person shall be entitled to a patent unless – (a)(1) the claimed invention was patented, described in a printed publication, or in public use, on sale, or otherwise available to the public before the effective filing date of the claimed invention. Claims 1-5, 7-15 and 17-20 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Tooher et al. (US-PGPUB 2021/0176710). Regarding claim 1, Tooher teaches a wireless transmit/receive unit (WTRU) comprising: a processor configured to: receive configuration information from a network, wherein the configuration information indicates information to be included in an ON/OFF feedback report and a reporting condition associated with sending of the ON/OFF feedback report [Para 95 and 103, feedback report is used to indicate status of awake and sleep mode]; receive a network discontinuous reception (DRX) feedback message from the network, wherein the network DRX feedback message comprises one or more of an indication of a latency induced from a DRX pattern generated by the network, a latency induced by an ON/OFF pattern determined by the WTRU, or a buffer status of downlink data for the WTRU queued at the network [Para 112-115, receives DRX report that identifies latency of the network]; determine a state and a reward for a reinforcement learning (RL) model of the WTRU based on the received network DRX feedback message [Para 116-117, determines how to adjust DRX cycle based on transmission instances]; determine an updated ON/OFF pattern using the RL model of the WTRU based on the state and the reward, wherein the updated ON/OFF pattern is for an interval of time [Para 116-117, updates awake and sleep period are determined based on the learning from past transmission instances]; and send the ON/OFF feedback report to the network based on the reporting condition being satisfied [Para 118, updated report is generated based on the learned transmission instances]. Regarding claims 2 and 12, Tooher teaches one or more of battery state information associated with the WTRU, a power profile of the WTRU, a power saving preference of the WTRU, the reward of the RL model of the WTRU, or an indication of the updated ON/OFF pattern [Para 116-117]. Regarding claims 3 and 13, Tooher teaches receiving from a network (NW) a request to transmit ON/OFF learning and operation capabilities [Para 172]; and transmit a capabilities message indicating WTRU support for dynamic ON/OFF operation [Para 172]. Regarding claims 4 and 14, Tooher teaches one or multiple time slots, and wherein the number of time slots are configured by the NW [Para 95]. Regarding claims 5 and 15, Tooher teaches a network DRX feedback message configuration, and wherein the network DRX feedback message is configured in accordance with the network DRX feedback message configuration [Para 95 and 103]. Regarding claims 7 and 17, Tooher teaches a history of one or more of ON and OFF slots, data reception slots, or feedback messages from the network, and wherein the reward of the RL model comprises one or more of latency, on time hit ratio, off time miss ratio, or off time ratio [Para 116-117]. Regarding claims 8 and 18, Tooher teaches determining the ON/OFF pattern for the next DRX cycle based on the state and the reward of the RL model of the WTRU [Para 116-117]. Regarding claims 9 and 19, Tooher teaches a periodic reporting condition, an aperiodic reporting condition, or a semi-persistent reporting condition [Para 113-115]. Regarding claims 10 and 20, Tooher teaches an event-triggered reporting condition that is based on a comparison of a value of the reward or a change in the value of the reward and a threshold [Para 113-115]. Regarding claim 11, Tooher teaches a method performed by a wireless transmit/receive unit (WTRU), the method comprising: receiving configuration information from a network, wherein the configuration information indicates information to be included in an ON/OFF feedback report and a reporting condition associated with sending of the ON/OFF feedback report [Para 95 and 103, feedback report is used to indicate status of awake and sleep mode]; receiving a network discontinuous reception (DRX) feedback message from the network, wherein the network DRX feedback message comprises one or more of an indication of a latency induced from a DRX pattern generated by the network, a latency induced by an ON/OFF pattern determined by the WTRU, or a buffer status of downlink data for the WTRU queued at the network [Para 112-115, receives DRX report that identifies latency of the network]; determining a state and a reward for a reinforcement learning (RL) model of the WTRU based on the received network DRX feedback message [Para 116-117, determines how to adjust DRX cycle based on transmission instances]; determining an updated ON/OFF pattern using the RL model of the WTRU based on the state and the reward, wherein the updated ON/OFF pattern is for an interval of time [Para 116-117, updates awake and sleep period are determined based on the learning from past transmission instances]; and sending the ON/OFF feedback report to the network based on the reporting condition being satisfied [Para 118, updated report is generated based on the learned transmission instances]. Allowable Subject Matter Claims 6 and 16 are objected to as being dependent upon a rejected base claim, but would be allowable if rewritten in independent form including all of the limitations of the base claim and any intervening claims. Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure is cited on the form PTO-892. Any inquiry concerning this communication or earlier communications from the examiner should be directed to CHANDRAHAS PATEL whose telephone number is (571)270-1211. The examiner can normally be reached Monday - Thursday 7:30 - 17:30. 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. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Ricky Ngo can be reached at 571-272-3139. 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. /Chandrahas B Patel/ Primary Examiner, Art Unit 2464
Read full office action

Prosecution Timeline

Oct 18, 2024
Application Filed
Oct 10, 2025
Response after Non-Final Action
Jul 28, 2026
Non-Final Rejection mailed — §102 (current)

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Prosecution Projections

1-2
Expected OA Rounds
89%
Grant Probability
96%
With Interview (+7.0%)
2y 7m (~7m remaining)
Median Time to Grant
Low
PTA Risk
Based on 919 resolved cases by this examiner. Grant probability derived from career allowance rate.

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