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)(2) the claimed invention was described in a patent issued under section 151, or in an application for patent published or deemed published under section 122(b), in which the patent or application, as the case may be, names another inventor and was effectively filed before the effective filing date of the claimed invention.
Claim(s) 1-4, 6, 8-11, 15, 16, 17, and 20 is/are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Shrivastava US 20240340653.
Regarding claim 1, 9, 16, Shrivastava teaches an apparatus, comprising:
at least one processor (processor circuitry, [0123]); and
at least one memory (memory, [0123]) including computer program code,
the at least one memory and the computer program code configured to, with the at least one processor, cause the apparatus at least to:
receive a request (processor circuitry configured to generate at least one message which requests the wireless terminal to report Artificial Intelligence / Machine
Learning Model (AI/ML) related information to the network, [0137]) for supported functionalities (UE CapabilityInformation, [0075], wherein the AI/ML related information comprises AI/ML related support
information of the wireless terminal, [0142]) and functionality selection assistance information (to receive at least one resource restriction response message from the wireless terminal, the resource restriction response message comprising an indication that the wireless terminal guards AI/ML model and/or AI/ML functions of the wireless terminal, [0224], the processor circuitry is configured to generate a resource restriction notification message to configure the wireless terminal to generate the resource restriction response message, [0225]) from a network node;
identify the supported functionalities;
determine the functionality selection assistance information, the functionality selection assistance information comprising preference of the apparatus of the supported functionalities (The network of Example Embodiment 1, wherein the AI/ML related information comprises AI/ML related support information of the wireless terminal, [0142]); and
provide an indication of the supported functionalities and the functionality selection assistance information to the network node (see above [0137, 0142, 0224, 0225]).
Regarding claim 2, 17, the apparatus is further caused to:
receive an indication of a selected functionality of the supported functionalities, wherein the selected functionality is selected based at least in part on the functionality selection assistance information; and
employ the selected functionality to support a feature (wherein the processor circuitry is configured to use the at least one response message to make a classification of the plural wireless terminals for use in further communications involving the AI/ML related information, [0155]).
Regarding claim 3, 10, the supported functionalities comprise Artificial Intelligence (AI)/Machine Learning (ML) functionalities configured to perform the feature (The processor circuitry is configured to generate at least one message which requests the wireless terminal to report Artificial Intelligence/Machine Learning Model (AI/ML) related information to the network, abstract, processor circuitry configured to generate at least one message which requests the wireless terminal to report Artificial Intelligence / Machine Learning Model (AI/ML) related information to the network, [0137]).
Regarding claim 4, 11, the feature comprises an Artificial
Intelligence (AI)/Machine Learning (ML) feature (The technology relates to wireless communications, and particularly to telecommunications nodes such as access nodes and mobile stations, e.g., wireless terminals, that utilize artificial intelligence (AI) and/or machine learning (ML), [0001], processor circuitry configured to generate at least one message which requests the wireless terminal to report Artificial
Intelligence / Machine Learning Model (AI/ML) related information to the network, [0137]).
Regarding claim 6, the request for supported functionalities from the network node comprises a request for functionality selection assistance information (The message exchange may be done for e.g., using UE assistance information, measurement reports (e.g., CSI, measurement, RRM or a new report etc.) or PHY/MAC/RRC layer signaling or upper layer signaling, e.g., signaling specified for location management function and/or but not limited to L1/L2/L3 layer messaging, [0074], the processor circuitry is configured to generate a resource
restriction notification message to configure the wireless terminal to generate the resource restriction response message, [0225]).
Regarding claim 8, 15, 20, the functionality selection assistance information is based on at least one of resource availability of the apparatus or resource requirements of the supported functionalities (For example, “Artificial Intelligence/Machine Learning Model (AI/ML) related information” may include AI/ML capability information, model related parameters e.g. size of model (e.g. storage requirement), [0061]).
Claim Rejections - 35 USC § 103
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, 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.
Claim(s) 7, 14, 19 is/are rejected under 35 U.S.C. 103 as being unpatentable over Shrivastava as applied to claims 1, 9, 16 above, and further in view of So US 20260067174.
Shrivastava is silent on the functionality selection
assistance information further comprises:
expected quality of service of the supported functionalities.
So teaches AI/ML systems typically perform expected QoS performance ([0104]).
Therefore it would have been obvious to one of ordinary skill in the art before the effective filing date of the claimed invention, to modify the system of Shrivastava by the functionality selection assistance information further comprises:
expected quality of service of the supported functionalities, as suggested by So. This modification would benefit the system by incorporating QoS into the AI/ML system of Shrivastava.
Allowable Subject Matter
Claims 5, 12, 13, and 18 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.
Response to Arguments
Applicant’s arguments with respect to the amended independent claim(s) have been considered but are moot because the new ground of rejection includes a feature of Shrivastava not referenced in the prior rejection of record for any teaching or matter specifically challenged in the argument.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to RONALD B ABELSON whose telephone number is (571)272-3165. The examiner can normally be reached M-F 8:00-4:30.
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/RONALD B ABELSON/ Primary Examiner, Art Unit 2476
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