Prosecution Insights
Last updated: April 19, 2026
Application No. 18/312,424

METHOD AND APPARATUS FOR TRANSFERRING NETWORK INFORMATION TO AI/ML APPLICATION IN WIRELESS COMMUNICATION SYSTEM

Non-Final OA §103
Filed
May 04, 2023
Examiner
AJAYI, JOEL
Art Unit
2646
Tech Center
2600 — Communications
Assignee
Samsung Electronics Co., Ltd.
OA Round
3 (Non-Final)
77%
Grant Probability
Favorable
3-4
OA Rounds
2y 9m
To Grant
99%
With Interview

Examiner Intelligence

Grants 77% — above average
77%
Career Allow Rate
486 granted / 632 resolved
+14.9% vs TC avg
Strong +48% interview lift
Without
With
+47.6%
Interview Lift
resolved cases with interview
Typical timeline
2y 9m
Avg Prosecution
40 currently pending
Career history
672
Total Applications
across all art units

Statute-Specific Performance

§101
3.0%
-37.0% vs TC avg
§103
53.4%
+13.4% vs TC avg
§102
39.5%
-0.5% vs TC avg
§112
2.4%
-37.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 632 resolved cases

Office Action

§103
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 . Continued Examination Under 37 CFR 1.114 A request for continued examination under 37 CFR 1.114, including the fee set forth in 37 CFR 1.17(e), was filed in this application after final rejection. Since this application is eligible for continued examination under 37 CFR 1.114, and the fee set forth in 37 CFR 1.17(e) has been timely paid, the finality of the previous Office action has been withdrawn pursuant to 37 CFR 1.114. Applicant's submission filed on February 11, 2026 has been entered. Response to Arguments Applicant's arguments with respect to claims 1-16 have been considered but are moot in view of the new ground(s) of rejection. 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 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. Claims 1-16 are rejected under 35 U.S.C. 103 as being unpatentable over Merwaday et al. (U.S. Patent Application Number: 2022/0038554) in view of Chattopadhyay et al. (U.S. Patent Application Number: 2020/0167258). Consider claim 1; Merwaday discloses a method performed by a terminal in a wireless communication system, the method comprising: transmitting (par. 216, line 1 – par. 218, line 7), to an access and mobility management function (AMF) (par. 57, lines 1-8, 12-14), an identifier for an application (par. 222, lines 31-36) and network state parameter list for the application (par. 216, line 1 – par. 218, line 7), wherein the application is an artificial intelligence (AI) application or a machine learning (ML) application (par. 160, lines 1-12); receiving (par. 57, lines 1-8, 12-14), from the AMF (par. 57, lines 1-8, 12-14), authentication information for a network state information request or a network state analysis information request and address information (par. 496, lines 1-5) for a first network entity (e.g. MEC) collecting network state information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); transmitting (par. 47, lines 8-12; par. 57, lines 4-8; par. 102, lines 6-17), to the first network entity (e.g. MEC) based on the address information (par. 496, lines 1-5), the network state information request or the network state analysis information request based on the authentication information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); receiving (par. 216, line 1 – par. 218, line 7), from the first network entity (e.g. MEC), network state information corresponding to the network state information request or network state analysis information corresponding to the network state analysis information request (par. 216, line 1 – par. 218, line 7). Merwaday discloses the claimed invention except: selecting an AI or ML model to be applied to the application, based on predicted data transmission rate and at least one of the network state information or the network state analysis information; and determining a size of the Al or ML model by reducing the size of the Al or ML model in case that a network congestion is predicted and enlarging the size of the Al or ML model in case that a release of the network congestion is predicted. In an analogous art Chattopadhyay discloses selecting an AI or ML model to be applied to the application (par. 47, lines 5-10), based on predicted data transmission rate (par. 21, lines 8-11; par. 27, lines 13-16; par. 47, lines 1-5) and at least one of the network state information or the network state analysis information [e.g. SLA failure (par. 47, lines 10-13)]; and determining a size of the Al or ML model by reducing the size of the Al or ML model (e.g. a compact set of parameters) in case that {this is invalid if this is not the case} a network congestion is predicted [e.g. network congestion is predicted (par. 47, lines 10-13; par. 48, lines 5-9)] and enlarging the size of the Al or ML model [e.g. use of more parameters (par. 48, lines 13-15)] in case that {this is invalid if this is not the case} a release of the network congestion is predicted [e.g. migrate compute activity based on the drop prediction (par. 51, lines 1-8)]. It is an object of Merwaday’s invention to provide network communication related services. It is an object of Chattopadhyay’s invention to provide a method of determining resource allocation. 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 teaching of Merwaday by including network congestion prediction, as taught by Chattopadhyay, for the purpose of effectively providing services in a wireless network. Consider claim 2, as applied in claim 1; Merwaday discloses the network state information request or the network state analysis information request is transmitted to the AMF from the first network entity (e.g. MEC) (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), and the network state information request or the network state analysis information request is authenticated by the AMF based on the authentication information (par. 47, lines 8-12; par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7). Consider claim 3, as applied in claim 1; Merwaday discloses receiving, from the AMF, information on whether to accept provision of the network state information, a list of identifiers of allowed applications and a list of network state parameters allowed for the applications [e.g. access authentication and authorization (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7)]. Consider claim 4, as applied in claim 3; Merwaday discloses the information on whether to accept provision of the network state information is determined based on subscription information received from a unified data management (UDM) (par. 61, lines 1-5). Consider claim 5; Merwaday discloses a method performed by an access and mobility management function (AMF) in a wireless communication system, the method comprising: receiving (par. 47, lines 8-12; par. 57, lines 1-8, 12-14; par. 216, line 1 – par. 218, line 7), from a terminal (par. 216, line 1 – par. 218, line 7), an identifier for an application (par. 222, lines 31-36) and network state parameter list for the application (par. 216, line 1 – par. 218, line 7), wherein the application is an artificial intelligence (AI) application or a machine learning (ML) application (par. 160, lines 1-12); transmitting (par. 57, lines 1-8, 12-14), to the terminal (par. 57, lines 1-8, 12-14), authentication information for a network state information request or a network state analysis information request and address information (par. 496, lines 1-5) for a first network entity (e.g. MEC) collecting network state information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); receiving (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), from the first network entity (e.g. MEC) (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), the network state information request or the network state analysis information request (par. 216, line 1 – par. 218, line 7); and performing authentication (par. 57, lines 4-8) on the received network state information request or the received network state analysis information request based on the authentication information (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7). Merwaday discloses the claimed invention except: an Al or ML model is determined by the terminal based on predicted data transmission rate and at least one of the network state information or the network state analysis information {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}, and wherein a size of the Al or ML model is determined by the terminal based on a prediction associated with a network congestion {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}. In an analogous art Chattopadhyay discloses an Al or ML model is determined by the terminal (par. 49) based on predicted data transmission rate (par. 21, lines 8-11; par. 27, lines 13-16; par. 47, lines 1-5) and at least one of the network state information or the network state analysis information [e.g. SLA failure (par. 47, lines 10-13)] {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}, and wherein a size of the Al or ML model (e.g. a compact set of parameters instead of use of more parameters) is determined by the terminal (par. 49) based on a prediction associated with a network congestion (par. 47, lines 10-13; par. 48, lines 5-9, 13-15) {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}. It is an object of Merwaday’s invention to provide network communication related services. It is an object of Chattopadhyay’s invention to provide a method of determining resource allocation. 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 teaching of Merwaday by including network congestion prediction, as taught by Chattopadhyay, for the purpose of effectively providing services in a wireless network. Consider claim 6, as applied in claim 5; Merwaday discloses transmitting (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), to a second network entity (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), an authentication result (par. 57, lines 4-8) for the network state information request or the network state analysis information request (par. 216, line 1 – par. 218, line 7), wherein the second network entity receives network state information or network state analysis information from at least one third network entity based on the authentication result (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7). Consider claim 7, as applied in claim 5; Merwaday discloses transmitting (par. 57, lines 1-8, 12-14), to the terminal (par. 57, lines 1-8, 12-14), information on whether to accept provision of the network state information, a list of identifiers of allowed applications and a list of network state parameters allowed for the applications [e.g. access authentication and authorization (par. 57, lines 1-8, 12-14)]. Consider claim 8, as applied in claim 7; Merwaday discloses transmitting (par. 61, lines 1-5), to a unified data management (UDM) (par. 61, lines 1-5), a request for subscription information of the terminal (par. 61, lines 1-5), receiving (par. 61, lines 1-5), from the UDM (par. 61, lines 1-5), subscription information of the terminal (par. 61, lines 1-5), and determining whether to accept the provision of the network state information based on the subscription information of the terminal (par. 57, lines 4-8; par. 61, lines 1-5). Consider claim 9; Merwaday discloses a terminal in a wireless communication system, the terminal comprising: a transceiver (par. 102, lines 6-10); and a controller (par. 113, lines 13-25) configured to: transmit (par. 216, line 1 – par. 218, line 7), to an access and mobility management function (AMF) (par. 57, lines 1-8, 12-14), an identifier for an application (par. 222, lines 31-36) and network state parameter list for the application (par. 216, line 1 – par. 218, line 7), wherein the application is an artificial intelligence (AI) application or a machine learning (ML) application (par. 160, lines 1-12); receive (par. 57, lines 1-8, 12-14), from the AMF (par. 57, lines 1-8, 12-14), authentication information for a network state information request or a network state analysis information request and address information (par. 496, lines 1-5) for a first network entity (e.g. MEC) collecting network state information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); transmit (par. 47, lines 8-12; par. 57, lines 4-8; par. 102, lines 6-17), to the first network entity (e.g. MEC) based on the address information (par. 496, lines 1-5), the network state information request or the network state analysis information request based on the authentication information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); receive (par. 216, line 1 – par. 218, line 7), from the first network entity (e.g. MEC), network state information corresponding to the network state information request or network state analysis information corresponding to the network state analysis information request (par. 216, line 1 – par. 218, line 7). Merwaday discloses the claimed invention except: selecting an AI or ML model to be applied to the application, based on predicted data transmission rate and at least one of the network state information or the network state analysis information; and determining a size of the Al or ML model by reducing the size of the Al or ML model in case that a network congestion is predicted and enlarging the size of the Al or ML model in case that a release of the network congestion is predicted. In an analogous art Chattopadhyay discloses selecting an AI or ML model to be applied to the application (par. 47, lines 5-10), based on predicted data transmission rate (par. 21, lines 8-11; par. 27, lines 13-16; par. 47, lines 1-5) and at least one of the network state information or the network state analysis information [e.g. SLA failure (par. 47, lines 10-13)]; and determining a size of the Al or ML model by reducing the size of the Al or ML model (e.g. a compact set of parameters) in case that {this is invalid if this is not the case} a network congestion is predicted [e.g. network congestion is predicted (par. 47, lines 10-13; par. 48, lines 5-9)] and enlarging the size of the Al or ML model [e.g. use of more parameters (par. 48, lines 13-15)] in case that {this is invalid if this is not the case} a release of the network congestion is predicted [e.g. migrate compute activity based on the drop prediction (par. 51, lines 1-8)]. It is an object of Merwaday’s invention to provide network communication related services. It is an object of Chattopadhyay’s invention to provide a method of determining resource allocation. 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 teaching of Merwaday by including network congestion prediction, as taught by Chattopadhyay, for the purpose of effectively providing services in a wireless network. Consider claim 10, as applied in claim 9; Merwaday discloses the network state information request or the network state analysis information request is transmitted to the AMF from the first network entity (e.g. MEC) (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), and the network state information request or the network state analysis information request is authenticated by the AMF based on the authentication information (par. 47, lines 8-12; par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7). Consider claim 11, as applied in claim 9; Merwaday discloses receiving, from the AMF, information on whether to accept provision of the network state information, a list of identifiers or allowed applications and a list of network state parameters allowed for the applications [e.g. access authentication and authorization (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7)]. Consider claim 12, as applied in claim 11; Merwaday discloses the information on whether to accept provision of the network state information is determined based on subscription information received from a unified data management (UDM) (par. 61, lines 1-5). Consider claim 13; Merwaday discloses an access and mobility management function (AMF) in a wireless communication system, the AMF comprising: a transceiver (par. 57, lines 12-14); and a controller (par. 47, lines 8-12; par. 238, lines 1-4) configured to: receive (par. 47, lines 8-12; par. 57, lines 1-8, 12-14; par. 216, line 1 – par. 218, line 7), from a terminal (par. 216, line 1 – par. 218, line 7), an identifier for an application (par. 222, lines 31-36) and network state parameter list for the application (par. 216, line 1 – par. 218, line 7), wherein the application is an artificial intelligence (AI) application or a machine learning (ML) application (par. 160, lines 1-12); transmit (par. 57, lines 1-8, 12-14), to the terminal (par. 57, lines 1-8, 12-14), authentication information for a network state information request or a network state analysis information request and address information (par. 496, lines 1-5) for a first network entity (e.g. MEC) collecting network state information (par. 57, lines 4-8; par. 216, line 1 – par. 218, line 7); receive (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), from the first network entity (e.g. MEC) (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), the network state information request or the network state analysis information request (par. 216, line 1 – par. 218, line 7); and perform authentication (par. 57, lines 4-8) on the received network state information request or the received network state analysis information request based on the authentication information (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7). Merwaday discloses the claimed invention except: an Al or ML model is determined by the terminal based on predicted data transmission rate and at least one of the network state information or the network state analysis information {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}, and wherein a size of the Al or ML model is determined by the terminal based on a prediction associated with a network congestion {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}. In an analogous art Chattopadhyay discloses an Al or ML model is determined by the terminal (par. 49) based on predicted data transmission rate (par. 21, lines 8-11; par. 27, lines 13-16; par. 47, lines 1-5) and at least one of the network state information or the network state analysis information [e.g. SLA failure (par. 47, lines 10-13)] {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}, and wherein a size of the Al or ML model (e.g. a compact set of parameters instead of use of more parameters) is determined by the terminal (par. 49) based on a prediction associated with a network congestion (par. 47, lines 10-13; par. 48, lines 5-9, 13-15) {this is a non-functional descriptive limitation. It is determined by the terminal not the AMF. It carries no patentable weight. It has no bearing on the supposed patentable limitation of the AMF. See MPEP § 2111.04 and 2111.05}. It is an object of Merwaday’s invention to provide network communication related services. It is an object of Chattopadhyay’s invention to provide a method of determining resource allocation. 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 teaching of Merwaday by including network congestion prediction, as taught by Chattopadhyay, for the purpose of effectively providing services in a wireless network. Consider claim 14, as applied in claim 13; Merwaday discloses transmitting (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), to a second network entity (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7), an authentication result (par. 57, lines 4-8) for the network state information request or the network state analysis information request (par. 216, line 1 – par. 218, line 7), wherein the second network entity receives network state information or network state analysis information from at least one third network entity based on the authentication result (par. 47, lines 8-12; par. 57, lines 1-8, 12-14, 23-25; par. 216, line 1 – par. 218, line 7). Consider claim 15, as applied in claim 13; Merwaday discloses transmitting (par. 57, lines 1-8, 12-14), to the terminal (par. 57, lines 1-8, 12-14), information on whether to accept provision of the network state information, a list of identifiers of allowed applications and a list of network state parameters allowed for the applications [e.g. access authentication and authorization (par. 57, lines 1-8, 12-14)]. Consider claim 16, as applied in claim 15; Merwaday discloses transmitting (par. 61, lines 1-5), to a unified data management (UDM) (par. 61, lines 1-5), request for subscription information of the terminal (par. 61, lines 1-5), receiving (par. 61, lines 1-5), from the UDM (par. 61, lines 1-5), subscription information of the terminal (par. 61, lines 1-5), and determining whether to accept the provision of the network state information based on the subscription information of the terminal (par. 57, lines 4-8; par. 61, lines 1-5). Conclusion Any response to this Office Action should be faxed to (571) 273-8300 or mailed to: Commissioner for Patents P.O. Box 1450 Alexandria, VA 22313-1450 Hand-delivered responses should be brought to Customer Service Window Randolph Building 401 Dulany Street Alexandria, VA 22314 Any inquiry concerning this communication or earlier communications from the Examiner should be directed to Joel Ajayi whose telephone number is (571) 270-1091. The Examiner can normally be reached on Monday-Friday from 7:30am to 5:00pm. If attempts to reach the Examiner by telephone are unsuccessful, the Examiner’s supervisor, Matthew Anderson can be reached on (571) 272-4177. 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) or 703-305-3028. Any inquiry of a general nature or relating to the status of this application or proceeding should be directed to the receptionist/customer service whose telephone number is (571) 272-2600. /JOEL AJAYI/ Primary Examiner, Art Unit 2646
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Prosecution Timeline

May 04, 2023
Application Filed
Aug 26, 2025
Non-Final Rejection — §103
Nov 28, 2025
Response Filed
Dec 09, 2025
Final Rejection — §103
Feb 11, 2026
Request for Continued Examination
Feb 18, 2026
Response after Non-Final Action
Mar 22, 2026
Non-Final Rejection — §103 (current)

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Prosecution Projections

3-4
Expected OA Rounds
77%
Grant Probability
99%
With Interview (+47.6%)
2y 9m
Median Time to Grant
High
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