Prosecution Insights
Last updated: April 19, 2026
Application No. 18/585,987

CONDITIONAL HANDOVER

Non-Final OA §102
Filed
Feb 23, 2024
Examiner
PATEL, DHAVAL V
Art Unit
2631
Tech Center
2600 — Communications
Assignee
Nokia Technologies Oy
OA Round
1 (Non-Final)
86%
Grant Probability
Favorable
1-2
OA Rounds
2y 6m
To Grant
99%
With Interview

Examiner Intelligence

Grants 86% — above average
86%
Career Allow Rate
1125 granted / 1311 resolved
+23.8% vs TC avg
Moderate +15% lift
Without
With
+15.0%
Interview Lift
resolved cases with interview
Typical timeline
2y 6m
Avg Prosecution
30 currently pending
Career history
1341
Total Applications
across all art units

Statute-Specific Performance

§101
8.2%
-31.8% vs TC avg
§103
56.3%
+16.3% vs TC avg
§102
20.5%
-19.5% vs TC avg
§112
6.2%
-33.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 1311 resolved cases

Office Action

§102
DETAILED ACTION 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 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 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) 1-14 are rejected under 35 U.S.C. 102 (a) (1) as being anticipated by "Discussion on Al/ML based mobility optimization (including TP for TS 38.423)", 3GPP DRAFT; R3-225778, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES; F-06921 SOPHIA-ANTIPOLIS CEDEX ; FRANCE ,vol. RAN WG3, no. Electronic Meeting; 20221010 - 20221018 28 September 2022, XP052278434 (hereafter 3GPP) (see IDS). Regarding claim 1, 3GPP discloses a network node comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the network node at least to: provide to one or more user equipment (UE), a UE configuration for conditional handover from a serving cell to one or more target cells, wherein the UE configuration for conditional handover configures one or more conditions for executing conditional handover(pages 3-6: UE access stratum and radio configuration may comprise for instance a conditional configuration; conditional configuration can be used for conditional handover; gNB may provide the UE configuration to the UE over Uu interface; UE configuration may be UE specific and a gNB may serve different UEs with different features differently); provide to the one or more target cells, a network configuration for conditional handover from a serving cell to the one or more target cells, wherein the network configuration for conditional handover configures at least one or more network resources for conditional handover ((pages 3-6: send [i.e., by the source NG_RAN node] an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive [i.e., time-related resources]; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time; candidate Target gNB receiving the probability with which a UE will arrive by a given time can schedule and reserve its resources accordingly to accommodate the incoming UE);); wherein the network configuration for conditional handover provides at least an estimated arrival timing for a UE arriving for handover at a target cell ((pages 3-6: send [i.e., by the source NG_RAN node] an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive [i.e., time related resources]; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time; candidate Target gNB receiving the probability with which a UE will arrive by a given time can schedule and reserve its resources accordingly to accommodate the incoming UE). Regarding claim 2, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell has an associated confidence level and/or an associated probability distribution ((pages 3-6: send an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time). Regarding claim 3, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell defines an estimated time interval of arrival at the target cell. ((pages 3-6: send an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time). Regarding claim 4, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell explicitly defines a time window with an implicitly defined confidence level or the estimated arrival timing for a UE arriving for handover at a target cell explicitly defines a time window and explicitly defines a confidence level, or the estimated arrival timing for a UE arriving for handover at a target cell explicitly defines a confidence level and implicitly defines a time window (pages 3-6: send an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time). Regarding claim 5, 3GPP teaches the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell is comprised within an information element comprised with a Conditional Handover Information Request information element comprised within a Handover Request Message (pages 2-3: Proposal 2: For normal handover, the source NG-RAN node sends the predicted handover execution timing in the handover request to the potential target cell. The Handover Request message can be extended to support such prediction information transfer from the source to the target. A new IE "Prediction Information" can be introduced to include the predicted information for the corresponding handover action towards the target NG-RAN node. Introduce a new IE "Prediction Information" in the Handover Request message to include the following information; Predicted estimated arrival probability; Confidence level; source NG-RAN node sends priority, confidence level and predicted resource reservation time window to the candidate target when requesting CHO for the UE(s)). Regarding claim 6, 3GPP further teaches the network node as claimed in claim 5, wherein the Conditional Handover Information Request information element comprises an Estimated Time Interval of Arrival information element and a related Confidence Level information element (3GPP teaches pages 2-3: Introduce a new IE "Prediction Information" in the Handover Request message to include the following information; Predicted estimated arrival probability; Confidence level; source NG-RAN node sends priority, confidence level and predicted resource reservation time window to the candidate target when requesting CHO for the UE(s)). Regarding claim 7, 3GPP further discloses the network node as claimed in claim 5, wherein the Conditional Handover Information Request information element comprises a Type of Probability Distribution IE (see, pages 2-3: Introduce a new IE "Prediction Information" in the Handover Request message to include the following information; Predicted estimated arrival probability; Confidence level; source NG-RAN node sends priority, confidence level and predicted resource reservation time window to the candidate target when requesting CHO for the UE(s))). Regarding claim 8, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell is an estimated time of arrival in an estimated area of arrival if the UE continues with an estimated trajectory (pages 2-4, Proposal 1: For normal handover, the Al/ML model for mobility optimization produces multiple handover target cells, together with their (1) estimated arrival probability; (2) priority; (3) handover execution timing and time window. Then, we think that the predicted handover execution timing is useful for the target as well, since the target is able to prepare resources for potential handover UEs in advance. Moreover, if some AI/ML model for other use cases is running in the target that can predict its future status, then the target may take its future status into account in deciding whether to accept handover request or not, especially at the timing of the received predicted handover execution time from the source. Observation 5: The (1) estimated arrival probability; (2) priority; (3) handover execution timing and time window, for which have been already agreed as the output of Al/ML mobility optimization for CHO, are also useful in normal handover, i.e. useful for the source when down-selecting one target cell for handover among multiple predicted target cells). Regarding claim 9, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for a UE arriving for handover at a target cell is additionally dependent upon current resource conditions at target node (2.4, UE traffic prediction, 1, The target can decide whether to reject or accept the UE's predicted handover based on the predicted UE traffic and also considering its own current/future resource status (if available). 2) The target can prepare suitable resource reservations and configurations for the predicted UE handover, which can reduce waste of resources in the target node). Regarding claim 10, 3GPP further discloses the network node as claimed in claim 1, configured to provide to a UE, the estimated arrival timing for the UE arriving for handover at a target cell (pages 2-3: Introduce a new IE "Prediction Information" in the Handover Request message to include the following information; Predicted estimated arrival probability; Confidence level; source NG-RAN node sends priority, confidence level and predicted resource reservation time window to the candidate target when requesting CHO for the UE(s)). Regarding claim 11, 3GPP further discloses the network node as claimed in claim 1, wherein the estimated arrival timing for the UE arriving for handover at the target cell is comprised within an information element comprised with a Handover Command sent to UE (page 3, Proposal 10: Extend the existing IE "Conditional Handover Information Request" in the Handover Request to include for Al/ML based mobility optimization for CHO: Predicted priority of selecting predicted target cell Predicted handover execution timing of handover Confidence level). Regarding claim 12, 3GPP further discloses the network node as claimed in claim 11, wherein the information element comprises an Estimated Time Interval of Arrival information element and a related confidence Level information element (page 2, 2.3 CHO configuration, In [ 1], Model Inference of AI/ML based mobility optimization can also generate several CHO candidate cells, together with estimated arrival probability, confidence level, priority, handover execution timing, predicted resource reservation time window. As part of the CHO candidate configuration, the above information can be transmitted to the candidate target in the conditional handover request for the UE(s). Based on the priority and/or confidence level information, the target can know the possibility of a UE's handover. With the time window of the predicted resource reservation, the target can release the resources reserved for the predicted handover UE when that time window expires, which helps to improve resource utilizations at the target). Regarding claim 13, 3GPP further discloses the network node as claimed claim 11, wherein the information element comprises a Type of Probability Distribution IE (pages 2-3, Proposal 3: Introduce a new IE "Prediction Information" in the Handover Request message to include the following information: Predicted estimated arrival probability Predicted priority of selecting predicted target cell Predicted handover execution timing of handover Confidence level). Regarding claim 14, 3GPP discloses a network node comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the network node at least to: receive from a serving cell a network configuration for conditional handover from the serving cell to a target cell, wherein the network configuration for conditional handover configures at least one or more network resources for conditional handover, wherein the network configuration for conditional handover provides at least an estimated arrival timing for a user equipment (UE) arriving for handover at a target cell ((pages 3-6: send [i.e., by the source NG_RAN node] an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive [i.e., time-related resources]; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time; candidate Target gNB receiving the probability with which a UE will arrive by a given time can schedule and reserve its resources accordingly to accommodate the incoming UE), reserve the one or more network resources for conditional handover for a time period dependent upon the estimated arrival timing for the UE arriving for handover at the target cell. (Pages 3-6: send [i.e., by the source NG_RAN node] an estimated arrival probability in CHO and the relevant confidence interval; candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive [i.e., time-related resources]; It is beneficial to provide not only the probability of arrival of a UE to a candidate Target gNB, but also its probability of arrival by a certain time; candidate Target gNB receiving the probability with which a UE will arrive by a given time can schedule and reserve its resources accordingly to accommodate the incoming UE). Claim(s) 15-20 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by "(TP for TR 37.817) Further Discussion on Al/ML Mobility Optimization Solution", 3GPP DRAFT; R3-220633, 3RD GENERATION PARTNERSHIP PROJECT (3GPP), MOBILE COMPETENCE CENTRE ; 650, ROUTE DES LUCIOLES ; F-06921 SOPHIA-ANTIPOLIS CEDEX; FRANCE, vol. RAN WG3, no. E-meeting; 20220117 - 20220126 7 January 2022,XP052099097 (hereafter 3GPP1) (see IDS). Regarding claim 15, 3GPP1 discloses a user equipment (UE) comprising at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the UE (pages 2-3: for CHO the final cell for HO execution is selected by the UE), at least to: receive from a serving cell a configuration for conditional handover from the serving cell to one or more target cells, wherein the configuration for conditional handover configures one or more conditions for executing conditional handover ((pages 2-3: CHO configuration; Since for CHO the final cell for HO execution is selected by the UE, the above information (i.e.) confidence level, priority, handover execution timing) can also be included in the CHO configuration towards the UE over RRC signaling to assist the UE's CHO decision; source NG-RAN node includes (1) confidence level; (2) priority; (3) handover execution timing in the CHO configuration to the UE); determine satisfaction of the one or more conditions for executing conditional handover ((pages 2-3: final cell for HO execution is selected by the UE; UE should not select a CHO candidate cell for handover if its handover execution timing expires); in dependence upon determining satisfaction of a condition for executing conditional handover, execute a handover from the serving cell to a target cell (pages 2-3: final cell for HO execution is selected by the UE; UE could simply be made to perform CHO towards one candidate cell when its handover execution timing is met); wherein the condition for executing conditional handover includes a time-based condition ((pages 2-3: the above information (i.e. confidence level, priority, handover execution timing) can also be included in the CHO configuration towards the UE over RRC signaling to assist the UE's CHO decision; predicted handover execution timing should also be considered as a new conditional trigger event. With this, a UE could simply be made to perform CHO towards one candidate cell when its handover execution timing is met, without any measurement efforts). Regarding claim 16, 3GPP1 further discloses the UE as claimed in claim 15, wherein the UE is configured to execute conditional handover to a target cell in dependence upon a current time and an estimated arrival timing, for the UE arriving for handover at the target cell, received from the serving cell (pager 5, 5 Prediction information for CHO Handover One of the agreed output information for Al/ML Mobility Optimization is to send an estimated arrival probability in CHO and the relevant confidence interval. Even though being able to estimate the probability of arrival is useful for CHO purposes, a candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive. Knowing that a UE will arrive with a certain probability is not necessarily useful for a receiving node unless a delay constraint is introduced as well.). Regarding claim 17, 3GPP1 further discloses the UE as claimed in claim 15, wherein a list of candidate target cells for conditional handover is dependent upon a current time and, for each candidate target cell, an estimated arrival timing, for the UE arriving for handover at the candidate target cell, received from the serving cell (pages 2-3: CHO configuration; Since for CHO the final cell for HO execution is selected by the UE, the above information (i.e.) confidence level, priority, handover execution timing) can also be included in the CHO configuration towards the UE over RRC signaling to assist the UE's CHO decision; source NG-RAN node includes (1) confidence level; (2) priority; (3) handover execution timing in the CHO configuration to the UE). Regarding claim 18, 3GPP1 further discloses the UE as claimed in claim 15, wherein the estimated arrival timing for the UE arriving for handover at the target cell is comprised within an information element comprised with a Handover Command (RRC Connection Reconfiguration message) sent to the UE (page 2, (pages 2-3: final cell for HO execution is selected by the UE; UE could simply be made to perform CHO towards one candidate cell when its handover execution timing is met); Network also has a limited form of trajectory information (on cell and radio measurement level) already available in legacy networks. Using this information, a limited form of trajectory prediction ( of the next hop) can be achieved by analysis of the UE's mobility history, e.g. gathered information about the cells the UE visited or camped on, as well as locally available information, in particular radio measurements provided by the served UE. The UE's mobility history is sent from the UE to the network when the UE enters RRC connected state, and is forwarded to further serving base stations during handover preparation signaling in case of connected mode mobility). Regarding claim 19, 3GPP1 further discloses the UE as claimed in claim 18, wherein the information element comprises an Estimated Time Interval of Arrival information element and a related confidence Level information element (page 5, 5 Prediction information for CHO Handover One of the agreed output types of information for Al/ML Mobility Optimization is to send an estimated arrival probability in CHO and the relevant confidence interval. Even though being able to estimate the probability of arrival is useful for CHO purposes, a candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive. Knowing that a UE will arrive with a certain probability is not necessarily useful for a receiving node unless a delay constraint is introduced as well). Regarding claim 20, 3GPP1 further discloses the UE as claimed in claim 18, wherein the information element comprises a Type of Probability Distribution IE (page 5, 5 Prediction information for CHO Handover One of the agreed output pieces of information for Al/ML Mobility Optimization is to send an estimated arrival probability in CHO and the relevant confidence interval. Even though being able to estimate the probability of arrival is useful for CHO purposes, a candidate Target gNB may benefit further by knowing by "when" a UE is expected to arrive. Knowing that a UE will arrive with a certain probability is not necessarily useful for a receiving node unless a delay constraint is introduced as well. A candidate Target gNB receiving the probability with which a UE will arrive by a given time can schedule and reserve its resources accordingly to accommodate the incoming UE. Similarly, a candidate Target gNB can indicate to a source for how long it is willing to keep its resources reserved for the incoming UE. For example, a candidate Target gNB may prepare for energy saving in the future and may not be possible to reserve resources beyond a point in the future. This could help the source not to initiate a handover if a UE is expected to arrive to the candidate Target after the resources are expected to be released). Conclusion The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. Rossbach et al. (US2026/0006526) discloses system and method for conditional handover and extended reality capacity enhancements. Hevizi et al. (US2023/0247512) discloses managing conditional handover of a user equipment. Da Silva et al. (US 2022/0322174) discloses conditional handover in handover command. Fehrenbach et al. (US 2022/0078684) discloses user equipment supporting conditional handover to cells of cellular network and cellular network supporting conditional handover. Yui et al. (US2019/0387440) discloses exit condition for conditional handovers. Lovlekar et al. (US 2021/0360495) discloses conditional handover and cell re-selections along known routes. Any inquiry concerning this communication or earlier communications from the examiner should be directed to DHAVAL V PATEL whose telephone number is (571)270-1818. The examiner can normally be reached Monday to Friday (8:00am-4:30pm). 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, Hannah Wang can be reached at 571-272-9018. 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. /DHAVAL V PATEL/Primary Examiner, Art Unit 2631
Read full office action

Prosecution Timeline

Feb 23, 2024
Application Filed
Jan 23, 2026
Non-Final Rejection — §102 (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
86%
Grant Probability
99%
With Interview (+15.0%)
2y 6m
Median Time to Grant
Low
PTA Risk
Based on 1311 resolved cases by this examiner. Grant probability derived from career allow rate.

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