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 .
DETAILED ACTION
This is in response to the preliminary amendment filed on 8/14/24. Claims 1-20 are cancelled and new claims 21-40 are presented for examination.
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) 21, 31 and 32 are rejected under 35 U.S.C. 102(a)(1) as being anticipated by Devarakonda, US Pub. No.20220067622.
As to claim 21, Devarakonda discloses a method, comprising:
obtaining, by at least one processor of at least one first network node (124 fig.15) within a communication network, at least one first key performance metrics (KPM) data type, from a plurality of KPM data types, the plurality of KPM data types including current KPM data, predicted KPM data and predicted guaranteed KPM data (using the causal-analysis machine-learning model receives upstream delay predictions from each of a plurality of upstream machine-learning models and combining data across the production value stream, and include both historic KPIs, as well as forward-looking predictions and targets for key performance metrics, see figs.14, 15, [0120] to [0125]),
transmitting, by the at least one processor, at least one first parameter to an application function, the at least one first parameter identifying the at least one first KPM data type and controlling, by the at least one processor, an operation of the application function based on the at least one first parameter (implementing the action-and-alert process 126 provides the one or both of one or more alerts and one or more recommended actions to an interface for the production value stream, see [0126] to [0130]).
As to claim 31, Devaraknoda the at least one processor is part of at least one of:
a near-real time (RT) radio access network intelligent controller (RIC), the near-RT RIC being within the at least one first network node, a non-real time radio access network intelligent controller (RIC), the non-RT RIC being within the at least one first network node, a network exposure function (NEF), the network exposure function being within the at least one first network node, a Service Management and Orchestration (SMO) function, the SMO function being within the at least one first network node, or a Mobile Edge Computing (MEC) platform (mobile platform, see [0146]).
Claim 32 is rejected for the same reasons set forth in claim 21.
Allowable Subject Matter
Claims 22-30 and 33-40 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.
The following is a statement of reasons for the indication of allowable subject matter: None of the cited prior art discloses or teach a method comprising a combination of obtaining of the at least one first KPM data type includes first determining resource information, the resource information including an availability of prediction resources and guaranteed prediction enforcement resources, second determining policy information for a data flow at the application function, the policy information including policy capability information and guaranteed prediction enforcement capability information, third determining advertising information for the data flow based on the resource information and the policy information, the advertising information corresponding to the at least one first KPM data type and reduce at least one first predicted guaranteed KPM value, if the selected KPM data type identified the third KPM service.
Conclusion
6. Any inquiry concerning this communication or earlier communications from the examiner should be directed to Khanh Dinh whose telephone number is (571) 272-3936. The examiner can normally be reached on Monday through Friday from 8:00 A.m. to 5:00 P.m.
If attempts to reach the examiner by telephone are unsuccessful, the examiner's supervisor, Cheema Umar, can be reached on (571) 270-3037. The fax phone number for this group is (571) 273-8300.
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Any response to this action should be mailed to:
Commissioner for patents
P O Box 1450
Alexandria, VA 22313-1450
/KHANH Q DINH/Primary Examiner, Art Unit 2458