Prosecution Insights
Last updated: July 17, 2026
Application No. 18/655,738

SYSTEMS AND METHODS FOR DETECTING BLOCKED TRAFFIC FLOWS IN VOICE RELATED SERVICES

Non-Final OA §103
Filed
May 06, 2024
Examiner
JOHNSON, AMY COHEN
Art Unit
2455
Tech Center
2400 — Computer Networks
Assignee
Verizon Communications Inc.
OA Round
2 (Non-Final)
54%
Grant Probability
Moderate
2-3
OA Rounds
4m
Est. Remaining
76%
With Interview

Examiner Intelligence

Grants 54% of resolved cases
54%
Career Allowance Rate
285 granted / 528 resolved
-4.0% vs TC avg
Strong +22% interview lift
Without
With
+21.9%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
77 currently pending
Career history
874
Total Applications
across all art units

Statute-Specific Performance

§101
1.4%
-38.6% vs TC avg
§103
84.7%
+44.7% vs TC avg
§102
8.7%
-31.3% vs TC avg
§112
1.2%
-38.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 528 resolved cases

Office Action

§103
DETAILED ACTION 1.This communication is in response to the amendment filed on 01/27/2026. The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . 1a. Status of the claims: Claims 1, 4-5, 7-8, 11, 13, 16, and 18 are amended. Claims 1- 20 are pending. Response to Arguments 2. Applicant's arguments filed 01/27/2026 have been fully considered but are moot in view of the new grounds of rejection. Claim Rejections - 35 USC § 103 3. 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 of this title, 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. 4. Claims 1-4, 8-12, 14-17, and 19-20 are rejected under 35 U.S.C. 103 as being unpatentable Bellamkonda et al. (hereinafter “Bellamkonda”) (US 2022/0408300 A1) in view of Stein et al. (hereinafter “Stein”) (US 2010/0142514 A1), and further in view of Chintalapati et al. (hereinafter “Chintalapati”) (US 2020/0104775 A1). Regarding claim 1, Bellamkonda discloses a method, comprising: receiving, by a network device, a key performance indicator (KPI) metric associated with a media resource function (receiving key performance indicator (KPI) metric associated signal quality measures using a RAN that is the network device (signal quality measurement is a media resource function), Bellamkonda, [0022]; [0012]) , wherein the media resource function is associated with a virtualized telephone application service ( Long Term Evolution (VoLTE) providing a virtualize network function to telephone system service where Long Term Evolution is associated signal quality measurement ),Bellamkonda, [0012]; [0080]; [0001]); comparing, by the network device, the KPI metric to a threshold (a determination being made if a key performance indicator (KPI) exceeds a threshold, by making this determination a comparison is made using a RAN that is the network device, Bellamkonda, [0030];[0069]; [0012]; comparison is explicitly disclosed in [0069]); generating, by the network device, an internal event based on the KPI metric satisfying the threshold ( a higher threshold is generated using highest-scoring MRU models that generates the higher threshold that satisfies a KPI metrics values a description that is in accord of the specification that describes an internal event is generated when a defined threshold is crossed and replaced by a higher threshold ( by selecting a particular quantity of highest-scoring MRU models the threshold is satisfied) ,Bellamkonda, [0030]; [0012]); Bellamkonda does not disclose correlating, by the network device, the internal event and an external event, wherein the external event is based on external system formulated data, and correlation results include an indication of non-matching data or matched data between the internal event and the external event; identifying, by the network device, a blocked voice traffic flow based on the correlation results; and transmitting, by the network device, a notification that indicates the blocked voice traffic flow, wherein the notification includes a recommendation to resolve the blocked voice traffic flow. Stein discloses correlating, by the network device, the internal event and an external event (correlating collected call data and SIP signaling data using correlation engine 110 that is equated to network device (where collected call data is external event and SIP signaling data is internal event), Stein, [0023]; based on the specification [0021] external data is associated with audio call), wherein the external event is based on external system formulated data ( collected call data is external, Stein, [0023]), and correlation results include an indication of non-matching data or matched data between the internal event and the external event ( data associated with call for with the SIP call signal patterns are abnormal, (an abnormal data is equated to a mismatched call) Stein, [0023]); identifying, by the network device, a blocked voice traffic flow based on the correlation results ( a blocked call being identified based on correlated defect CDR and the SIP signaling and the call data using correlation engine 110 that is equated to network device, Stein, [0024]); and transmitting, by the network device, a notification that indicates the blocked voice traffic flow ( output an alert report about the blocked VoIP calls, Stein, [0025]; (VoIP calls are equated to voice traffic flow containing more than one calls), wherein the notification includes a recommendation to resolve the blocked voice traffic flow using correlation engine 110 that is equated to network device ( network element to avoid is indicated by indicating the VoIP defected network element ( by indicating the network element to avoid a recommendation is provided to resolve the blocked calls, Stein, [0024]). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Stein’s teachings with Bellamkonda’s teachings. One skilled in the art would be motivated to combine them in order to effectively indicate the abnormality of a network element by indication that all of the calls reaching that network element are blocked. Bellamkonda in view of Stein do not disclose wherein the recommendation is based on consolidated data associated with one or more of the following: the KPI metric: the threshold; an actual value of the KPI metric; a delta value between the threshold and the actual value of the KPI metric; the indication of non-matching data or matched data; media resource function data and associated virtualized telephone application service inventory data; and last specified KPIs trend data. Chintalapati discloses wherein the recommendation is based on consolidated data associated with one or more of the following: the KPI metric: the threshold; an actual value of the KPI metric; a delta value between the threshold and the actual value of the KPI metric; the indication of non-matching data or matched data; media resource function data and associated virtualized telephone application service inventory data; and last specified KPIs trend data ( The user specific use data stored in data stores 1332, 1334, and 1336 is then provided to guidance integrator 1318. Over time, the individual user episodes may reveal patterns, such as that the user always logs in and immediately views the headcount metric and then the attrition metric. Further, over time, clustered data for many users may be captured and used to generate personalization recommendations for users that is based on what many other users do, the KPIs they look at, in which order, and so forth. All of this information can be provided to the guidance integrator , Chintalapati, [0125]). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Chintalapati’s teachings with Bellamkonda’s teachings in view of Stein’s teachings. One skilled in the art would be motivated to combine them in order to effectively recommend a personalized recommendation to a user by using the KPIs looks by the user that reveal the patterns of the individual user episodes. Regarding claim 2, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1, wherein the threshold is one or more of a region-based threshold configured for a region associated with the KPI metric or a time zone based threshold configured for a time zone associated with the KPI metric ( the threshold that is associated KPI metric is respective to a given sector ( where sector is a region),Bellamkonda, [0027]; [0028]). Regarding claim 3, Bellamkonda, Stein, and Chintalapati disclose the method of claim 2, wherein the external system formulated data is associated with the region ( signal is received from a device near sector 101 ( signal received from near sector is equated to external system formulate data) , Bellamkonda, [0043]), and the external system formulated data is within a defined time range from a timestamp associated with the KPI metric (( signal having performance indicators is received from a device near sector 101, where the signal has a time slot associated with the signal has a timestamp associated with ( signal received from near sector is equated to external system formulate data) , Bellamkonda, [0044]). Regarding claim 4, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1, further comprising: obtaining, by the network device and for the internal event, one or more of: an event occurrence timestamp, the threshold, the actual value of the KPI metric, region data, or media resource function application data (threshold is associate quality signal measurement , Bellamkonda, [0030]). Regarding claim 8, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1 Bellamkonda does not disclose further comprising: storing, by the network device, a record of the recommendation and the consolidation data in a data repository for blocked voice traffic flow predictions. Stein discloses further comprising: storing, by the network device, a record of the recommendation and the consolidation data in a data repository for blocked voice traffic flow predictions (storing data of recommendation that resolves the blocked calls issue using correlation engine 110 that is equated to network device, Stein, [0030];[0024]). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Stein’s teachings with Bellamkonda’s teachings and in view of Chintalapati’s teachings. One skilled in the art would be motivated to combine them in order to effectively indicate the abnormality of a network element by indication that all of the call reaching that network element are blocked. Regarding claim 9, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1, wherein the virtualized telephone application service is configured to provide a voice over Long Term Evolution (VoLTE) service ( Long Term Evolution (VoLTE) providing telephone system service where Long Term Evolution (telephone system provide mostly calls)), Bellamkonda, [0001]). Regarding claim 10, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1, wherein the KPI metric is associated with a voice call ( the threshold that is associated KPI metric is respective to a sector of a cellular phone network ( where sector is a region), Bellamkonda, [0027]; [0028]). Regarding claim 11, Bellamkonda discloses a network device, comprising: one or more processors ( processors are disclosed , Bellamkonda, [0104])); in addition, claim 11 is substantially similar to claim 1, thus the same rationale applies. Regarding claim 12, claim 12 is substantially similar to a combination of claims 2 and 3, thus the same rationale applies. Regarding claim 14, claim 14 is substantially similar to claim 8, thus the same rationale applies. Regarding claim 15, claim 15 is substantially similar to claim 9, thus the same rationale applies. Regarding claim 16, Bellamkonda discloses a non-transitory computer-readable medium storing a set of instructions, the set of instructions (a memory storing instructions executed by processors are disclosed , Bellamkonda, [0104])); in addition, claim 16 is substantially similar to claim 1, thus the same rationale applies. Regarding claim 17, claim 17 is substantially similar to claim 12, thus the same rationale applies. Regarding claim 19, claim 19 is substantially similar to claim 14, thus the same rationale applies. Regarding claim 20, claim 20 is substantially similar to claim 15, thus the same rationale applies. 4a. Claims 5-7, 13, and 18 are rejected under 35 U.S.C. 103 as being unpatentable Bellamkonda, in view of Chintalapati, in view of Stein et al. (hereinafter “Stein”) (US 2010/0142514 A1), and further Macieira et al. (hereinafter “Macieira”) (US 2018/0091374 A1) Regarding claim 5, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1. Bellamkonda in view of Stein and in view of Chintalapati do not disclose further comprising: calculating, by the network device, the delta value between the threshold and the actual value of the KPI metric, wherein the delta value indicates a performance level of a media resource function KPI; and storing, by the network device, a record of the delta value. Macieira discloses further comprising: calculating, by the network device, the delta value between the threshold and the actual value of the KPI metric ( a delta value of a metric is disclosed being a fraction of a metric, Macieira, [0057])), wherein the delta value indicates a performance level of a media resource function KPI ( a delta value of a metric is disclosed being a fraction of a service related a metric ( the examiner is taken the position that the metric include KPI metric and the performance level is equated to the quality service level, Macieira, [0057])); and storing, by the network device, a record of the delta value (a medium is storing data related to the metric including the delta value of a metric that is a fraction of a metric, Macieira, [0057])). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Macieira’s teachings with Bellamkonda’s teachings in view of Stein’s teachings and in view of Chintalapati’s teachings. One skilled in the art would be motivated to combine them in order to effectively indicate the performance level of a service by using a delta value of a performance metric for effectively indicating the performance level of service. Regarding claim 6, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1, further comprising: collecting, by the network device, the media resource function data and associated virtualized telephone application service inventory data ( Long Term Evolution (VoLTE) providing a virtualize network function to a telephone system service where Long Term Evolution is associated signal quality measurement data that are received from a RAN that is the network device),Bellamkonda, [0012]; [0080]; [0001]). Bellamkonda in view of Stein and in view of Chintalapati do not disclose collecting, by the network device, the last specified KPIs trend data. Macieira discloses collecting, by the network device, the last specified KPIs trend data (a medium is storing data related to the metric including the previous metric value that is considered when comparing delta value to a threshold metric value that includes KPI metric value, Macieira, [0057]; here previous carried the meaning of specified because the previous metric is specified)). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Macieira’s teachings with Bellamkonda’s teachings in view of Stein’s teachings and in view of Chintalapati’s teachings. One skilled in the art would be motivated to combine them in order to effectively indicate the performance level of a service by using a delta value of a performance metric for effectively indicating the performance level of service. Regarding claim 7, Bellamkonda, Stein, and Chintalapati disclose the method of claim 1. further comprising: consolidating, by the network device, the one or more of the KPI metric, the threshold, the actual value of the KPI metric, the indication of non-matching data or matched data, the media resource function data and associated virtualized telephone application service inventory data (aggregation traffic of a key performance indicator (KPI), a threshold, using a RAN that is the network device, Bellamkonda, [0082] [0030]; [0012]; aggregation is equated to consolidation). Bellamkonda in view of Stein and in view of Chintalapati do not disclose consolidating, by the network device, the delta value between the threshold and the actual value of the KPI metric, and the last specified KPIs trend data, to form the consolidated data; and transmitting, by the network device, the consolidated data as part of the notification. Macieira discloses consolidating, by the network device, the delta value between the threshold and the actual value of the KPI metric, and the last specified KPIs trend data, to form the consolidated data; and transmitting, by the network device, the consolidated data as part of the notification (an additional service related metric data is included in the network service alert that is generated, when additional service data is added to a previous serve data the previous service data is consolidated , Macieira, [0057])). It would have been obvious before the effective filing date of the claimed invention to a person of ordinary skill in the art to incorporate Macieira’s teachings with Bellamkonda’s teachings in view of Stein’s teachings and in view of Chintalapati’s teachings. One skilled in the art would be motivated to combine them in order to effectively indicate the performance level of a service by using a delta value of a performance metric for effectively indicating the performance level of service. Regarding claim 13, claim 13 is substantially similar to a combination of claims 4, 5, 6, 7, thus the same rationale applies. Regarding claim 18, claim 18 is substantially similar to claim 13, thus the same rationale applies. Conclusion 5. . Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any extension fee pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to MARIEGEORGES A HENRY whose telephone number is (571)270-3226. The examiner can normally be reached on 11:00am -8:00pm East 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. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Emmanuel Moise can be reached on 571 272-8365. 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). If you would like assistance from a USPTO Customer Service Representative or access to the automated information system, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. /MARIEGEORGES A HENRY/Examiner, Art Unit 2455 /EMMANUEL L MOISE/Supervisory Patent Examiner, Art Unit 2455
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Prosecution Timeline

Show 1 earlier event
Nov 04, 2025
Non-Final Rejection mailed — §103
Jan 09, 2026
Interview Requested
Jan 20, 2026
Applicant Interview (Telephonic)
Jan 22, 2026
Examiner Interview Summary
Jan 27, 2026
Response Filed
Jun 04, 2026
Final Rejection mailed — §103
Jun 17, 2026
Interview Requested
Jul 01, 2026
Response after Non-Final Action

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Prosecution Projections

2-3
Expected OA Rounds
54%
Grant Probability
76%
With Interview (+21.9%)
2y 6m (~4m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 528 resolved cases by this examiner. Grant probability derived from career allowance rate.

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