Prosecution Insights
Last updated: August 17, 2026
Application No. 18/763,319

SYSTEM AND METHOD FOR SCHEDULING DATA TRANSMISSIONS BY DEVICES IN A COMMUNICATIONS NETWORK

Non-Final OA §102
Filed
Jul 03, 2024
Priority
Aug 04, 2023 — EU 23 18 9838.8
Examiner
GEORGE, AYANAH S
Art Unit
Tech Center
Assignee
Robert Bosch GmbH
OA Round
1 (Non-Final)
87%
Grant Probability
Favorable
1-2
OA Rounds
3m
Est. Remaining
93%
With Interview

Examiner Intelligence

Grants 87% — above average
87%
Career Allowance Rate
448 granted / 516 resolved
+26.8% vs TC avg
Moderate +6% lift
Without
With
+5.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 4m
Avg Prosecution
21 currently pending
Career history
549
Total Applications
across all art units

Statute-Specific Performance

§101
4.0%
-36.0% vs TC avg
§103
61.4%
+21.4% vs TC avg
§102
20.8%
-19.2% vs TC avg
§112
8.9%
-31.1% vs TC avg
Black line = Tech Center average estimate • Based on career data from 516 resolved cases

Office Action

§102
DETAILED ACTION This action is a response to an application filed on 7/3/24 in which claims 1-15 are pending. 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 . 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. Claim(s) 1, 2, 7-15 is/are rejected under 35 U.S.C. 102(a)(1) as being anticipated by No-wait Packet Scheduling for IEEE Time-sensitive Networks (TSN), by Frank D u ¨ rr etc., herein D u ¨ rr. As to claim 1, D u ¨ rr teaches a computer-implemented method for scheduling data transmissions by devices in a communications network, wherein the data transmissions by the devices in the communications network periodically repeat themselves, wherein a respective period of the data transmissions represents a data transmission cycle, wherein the data transmission cycle repeats itself for at least a number of cycles, the method comprising the following steps: determining, for each individual device of the devices as a sending device, timing information which is indicative of a duration of a data transmission by the sending device to each respective receiving device during the data transmission cycle (D u ¨ rr page 4 column 1 d i , j t r a n s defines the transmission delay for each transmission operation Oi,j of flow Fi) determining a schedule defining at least start times for the data transmissions by the devices in the data transmission cycle by: determining an initial transmission order of the devices in the data transmission cycle, providing a procedure which uses a transmission order and the timing information as input and which outputs a feasible schedule and a total duration of the data transmission cycle for the feasible schedule, wherein the procedure generates the feasible schedule to satisfy one or more data transmission constraints imposed by the communications network and/or the devices, performing the procedure using the initial transmission order and the timing information as input, iteratively adjusting the initial transmission order and performing the procedure to obtain an adjusted schedule with an adjusted transmission order which minimizes the total duration of the data transmission cycle (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion); and outputting scheduling data defining the adjusted schedule (D u ¨ rr page 6 algorithm 1 return (Span and schedule) and algorithm 2 bestOrder page 8 algorithm 3 return sched) As to claim 13, D u ¨ rr teaches a non-transitory computer-readable medium on which are stored data representing a computer program, the computer program including instructions for scheduling data transmissions by devices in a communications network, wherein the data transmissions by the devices in the communications network periodically repeat themselves, wherein a respective period of the data transmissions represents a data transmission cycle, wherein the data transmission cycle repeats itself for at least a number of cycles, the instructions, when executed by a processor system, causing the processor system to perform the following steps (D u ¨ rr 6.2 executed on a processor with memory): determining, for each individual device of the devices as a sending device, timing information which is indicative of a duration of a data transmission by the sending device to each respective receiving device during the data transmission cycle (D u ¨ rr page 4 column 1 d i , j t r a n s defines the transmission delay for each transmission operation Oi,j of flow Fi) determining a schedule defining at least start times for the data transmissions by the devices in the data transmission cycle by: determining an initial transmission order of the devices in the data transmission cycle, providing a procedure which uses a transmission order and the timing information as input and which outputs a feasible schedule and a total duration of the data transmission cycle for the feasible schedule, wherein the procedure generates the feasible schedule to satisfy one or more data transmission constraints imposed by the communications network and/or the devices, performing the procedure using the initial transmission order and the timing information as input, iteratively adjusting the initial transmission order and performing the procedure to obtain an adjusted schedule with an adjusted transmission order which minimizes the total duration of the data transmission cycle (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion); and outputting scheduling data defining the adjusted schedule (D u ¨ rr page 6 algorithm 1 return (Span and schedule) and algorithm 2 bestOrder page 8 algorithm 3 return sched) As to claim 14, D u ¨ rr teaches a scheduling system: comprising: a processing subsystem configured to schedule data transmissions by devices in a communications network, wherein the data transmissions by the devices in the communications network periodically repeat themselves, wherein a respective period of the data transmissions represents a data transmission cycle, wherein the data transmission cycle repeats itself for at least a number of cycles, the processing subsystem configured to: determine, for each individual device of the devices as a sending device, timing information which is indicative of a duration of a data transmission by the sending device to each respective receiving device during the data transmission cycle (D u ¨ rr page 4 column 1 d i , j t r a n s defines the transmission delay for each transmission operation Oi,j of flow Fi) determine a schedule defining at least start times for the data transmissions by the devices in the data transmission cycle by: determining an initial transmission order of the devices in the data transmission cycle, providing a procedure which uses a transmission order and the timing information as input and which outputs a feasible schedule and a total duration of the data transmission cycle for the feasible schedule, wherein the procedure generates the feasible schedule to satisfy one or more data transmission constraints imposed by the communications network and/or the devices, performing the procedure using the initial transmission order and the timing information as input, iteratively adjusting the initial transmission order and performing the procedure to obtain an adjusted schedule with an adjusted transmission order which minimizes the total duration of the data transmission cycle (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion); and output scheduling data defining the adjusted schedule (D u ¨ rr page 6 algorithm 1 return (Span and schedule) and algorithm 2 bestOrder page 8 algorithm 3 return sched) As to claim 15, D u ¨ rr teaches a communications network, comprising: a scheduling system including a processing subsystem configured to schedule data transmissions by devices in a communications network, wherein the data transmissions by the devices in the communications network periodically repeat themselves, wherein a respective period of the data transmissions represents a data transmission cycle, wherein the data transmission cycle repeats itself for at least a number of cycles, the processing subsystem configured to: determine, for each individual device of the devices as a sending device, timing information which is indicative of a duration of a data transmission by the sending device to each respective receiving device during the data transmission cycle (D u ¨ rr page 4 column 1 d i , j t r a n s defines the transmission delay for each transmission operation Oi,j of flow Fi) determine a schedule defining at least start times for the data transmissions by the devices in the data transmission cycle by: determining an initial transmission order of the devices in the data transmission cycle, providing a procedure which uses a transmission order and the timing information as input and which outputs a feasible schedule and a total duration of the data transmission cycle for the feasible schedule, wherein the procedure generates the feasible schedule to satisfy one or more data transmission constraints imposed by the communications network and/or the devices, performing the procedure using the initial transmission order and the timing information as input, iteratively adjusting the initial transmission order and performing the procedure to obtain an adjusted schedule with an adjusted transmission order which minimizes the total duration of the data transmission cycle (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion); and output scheduling data defining the adjusted schedule (D u ¨ rr page 6 algorithm 1 return (Span and schedule) and algorithm 2 bestOrder page 8 algorithm 3 return sched) As to claim 2, D u ¨ rr teaches the computer-implemented method according to claim 1, further comprising using a machine learning model to iteratively adjust the initial transmission order and to perform the procedure to obtain the schedule with the adjusted transmission order (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion); As to claim 7, D u ¨ rr teaches the computer-implemented method according to claim 1, wherein the procedure includes determining a minimal feasible start time for a data transmission from a respective sending device as: (i) an integer multiple of an input accuracy parameter and/or (ii) an internal accuracy parameter, subject to the shifting not violating the one or more data transmissions constraints ((D u ¨ rr section 5.1 start time is 0) As to claim 8, D u ¨ rr teaches the computer-implemented method according to claim 1, wherein: the initial transmission order of the devices is determined in form of an initial schedule for the devices in the data transmission cycle; the procedure uses a schedule as input and outputs a feasible schedule and the total duration of the data transmission cycle for the feasible schedule, wherein the procedure includes iteratively shifting the schedule by an earliest start time in the schedule and scaling the schedule in time using a scaling parameter until a feasible schedule is obtained; the procedure is performed using the initial schedule as input; and the initial schedule is iteratively adjusted using the procedure to obtain an adjusted schedule which minimizes the total duration of the data transmission cycle (D u ¨ rr page 6 5.2 sequencing problem the sequencing algorithm creates a total ordering of flows in the set to minimize the resulting makespan ((total duration) which is a function of the starting times (see Definition 1 (page 4 second column)) of the schedule, an initial solution is generated and iteratively processed by selecting the best solution that does not violate certain criterion and 5.2.2. iteratively process in the neigborhood (shifting)); As to claim 9, D u ¨ rr teaches the computer-implemented method according to claim 1, further comprising determining the timing information by recording the duration of the data transmissions in the communications network (Find this in Durr) As to claim 10, D u ¨ rr teaches the computer-implemented method according to claim 1, further comprising sending the scheduling data to the devices to configure the devices with the schedule (D u ¨ rr page 6 algorithm 1 return (Span and schedule) and algorithm 2 bestOrder page 8 algorithm 3 return sched) As to claim 11, D u ¨ rr teaches the computer-implemented method according to claim 1, wherein the devices include one or more sensors which are configured to transmit sensor data in each data transmission cycle (D u ¨ rr page 1 section 1 introduction sensors capture values and transmit) As to claim 12, D u ¨ rr teaches the computer-implemented method according to claim 1, wherein the communications network includes one of or a combination of a wireless network and a wired network (D u ¨ rr page 1 used in Ethernet technologies) Allowable Subject Matter Claims 3-6 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 Any inquiry concerning this communication or earlier communications from the examiner should be directed to AYANAH S GEORGE whose telephone number is (571)272-8880. The examiner can normally be reached 7:00 AM - 5:00 PM. 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, Hassan Phillips can be reached at 572-272-3940. 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. AYANAH S. GEORGE Primary Examiner Art Unit 2467 /AYANAH S GEORGE/Primary Examiner, Art Unit 2467
Read full office action

Prosecution Timeline

Jul 03, 2024
Application Filed
Aug 03, 2026
Non-Final Rejection mailed — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12696345
REFERENCE SIGNAL AND CHANNEL STATE INFORMATION PROCESSING OUTSIDE A DISCONTINUOUS RECEPTION ACTIVE TIME
3y 7m to grant Granted Jul 28, 2026
Patent 12684366
DYNAMIC SPECTRUM SHARING OVERHEAD IMPACT MITIGATION
2y 2m to grant Granted Jul 14, 2026
Patent 12652567
PRE-CONFIGURED GAP STATUS AT GAP CONFIGURATION
2y 8m to grant Granted Jun 09, 2026
Patent 12641676
RADIO FREQUENCY SENSING WITH POWER SAVINGS
2y 11m to grant Granted May 26, 2026
Patent 12635030
METHOD FOR PROCESSING DISCONTINUOUS RECEPTION PARAMETER, STORAGE MEDIUM, AND PROCESSOR
3y 10m to grant Granted May 19, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
87%
Grant Probability
93%
With Interview (+5.9%)
2y 4m (~3m remaining)
Median Time to Grant
Low
PTA Risk
Based on 516 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month