CTNF 18/547,449 CTNF 82841 DETAILED ACTION Notice of Pre-AIA or AIA Status 07-03-aia AIA 15-10-aia The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA. Election/Restrictions 08-06 AIA Claim s 33-36 withdrawn from further consideration pursuant to 37 CFR 1.142(b) as being drawn to a nonelected specie , there being no allowable generic or linking claim. Election was made without traverse in the reply filed on 03/30/2026 . Information Disclosure Statement The information disclosure statement (IDS) submitted on 07/24/2024, 10/21/2024 and 11/01/2024 are considered by the examiner. The submission is in compliance with the provisions of 37 CFR 1.97. Claim Rejections - 35 USC § 102 07-06 AIA 15-10-15 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. 07-07-aia AIA 07-07 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 – 07-12-aia AIA (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. 07-15-03-aia AIA Claim (s) 29-30, 32, 37-38 and 40 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Yang et al. (US 2022/0247472; hereinafter Yang) . Regarding claim 29, Yang shows an information encoding control method (Figure 2 shows a method performed in part by a UE.), applied to a terminal, wherein the information encoding control method comprises: receiving first configuration information (Figure 2; Par. 0065-0067, 0073; UE receives a signaling including a first configuration parameter.), wherein the first configuration information is used to configure N groups of parameters of N artificial intelligence (AI) encoders, and N is a positive integer greater than 1 (Figure 2; Par. 0042-0046, 0051, 0065-0068, 0073; the first configuration parameter is used to indicate at least one of: the L coding modules, a coding sequence of the L coding modules, a maximum coding time of each coding module, a maximum quantity M of PMIs reported by the UE in one coding period, a PMI bit width of the third coding module, or a trigger condition for starting the first coding period. The coding module is a coding module trained based on a neural network); and sending first indication information to a network device (Figure 2; Par. 0040-0046, 0062; the UE reports the N PMIs to the network device.), wherein the first indication information indicates that a first encoder is used for encoding first information, the first encoder is determined based on the N groups of parameters and the first information , and the first encoder is an encoder in the N AI encoders, or the first encoder is a second encoder different from the N AI encoders (Figure 2; Par. 0040-0046, 0062; an obtained PMI includes channel information of at least one PMI before the PMI. The N PMIs are corresponding to L coding modules, and any coding module obtains at least one PMI of the N PMIs; coding of a first coding module is based on coding information of a second coding module; the first coding module is one of the L coding modules; and the second coding module is a coding module that performs coding before the first coding module, and L is a positive integer greater than 1. Further, any PMI in the N PMIs is obtained by the first coding module by coding a channel corresponding to the any PMI based on the coding information of the second coding module; and the first coding module is a coding module corresponding to the any PMI.). Regarding claim 30, Yang shows sending second information, wherein the second information is determined by encoding the first information by the first encoder (Figure 2; Par. 0040-0046, 0062; an obtained PMI includes channel information of at least one PMI before the PMI. The N PMIs are corresponding to L coding modules, and any coding module obtains at least one PMI of the N PMIs; coding of a first coding module is based on coding information of a second coding module; the first coding module is one of the L coding modules; and the second coding module is a coding module that performs coding before the first coding module, and L is a positive integer greater than 1. Further, any PMI in the N PMIs is obtained by the first coding module by coding a channel corresponding to the any PMI based on the coding information of the second coding module; and the first coding module is a coding module corresponding to the any PMI.). Regarding claim 32, Yang shows wherein the first information is channel state information or uplink data (Par. 0052; the coding information of the second coding module includes at least one of: a CSI-RS corresponding to a first channel, intermediate state information for the second coding module to calculate a PMI, time domain correlation information of the CSI-RS, or frequency domain correlation information of the CSI-RS; where the first channel is a channel corresponding to a PMI corresponding to the second coding module.). Regarding claim 37, Yang shows an information encoding control method (Figures 2-3 shows a method performed in part by a network device.), applied to a network device, wherein the information encoding control method comprises: sending first configuration information to a terminal (Figures 2-3; Par. 0065-0067, 0073; transmitting, to a UE, a signaling including a first configuration parameter.), wherein the first configuration information is used to configure N groups of parameters of N artificial intelligence (AI) encoders (Figure 2; Par. 0042-0046, 0051, 0065-0068, 0073; the first configuration parameter is used to indicate at least one of: the L coding modules, a coding sequence of the L coding modules, a maximum coding time of each coding module, a maximum quantity M of PMIs reported by the UE in one coding period, a PMI bit width of the third coding module, or a trigger condition for starting the first coding period. The coding module is a coding module trained based on a neural network); and receiving first indication information and second information (Figures 2-3; Par. 0040-0046, 0062; the receiving the N PMIs as reported by the UE.), wherein the second information is determined by the terminal based on first information and a first encoder, the first indication information indicates that the first encoder is used for encoding the first information, the first encoder is determined based on the N groups of parameters and the first information, and the first encoder is an encoder in the N AI encoders, or the first encoder is a second encoder different from the N AI encoders (Figure 2; Par. 0040-0046, 0062; an obtained PMI includes channel information of at least one PMI before the PMI. The N PMIs are corresponding to L coding modules, and any coding module obtains at least one PMI of the N PMIs; coding of a first coding module is based on coding information of a second coding module; the first coding module is one of the L coding modules; and the second coding module is a coding module that performs coding before the first coding module, and L is a positive integer greater than 1. Further, any PMI in the N PMIs is obtained by the first coding module by coding a channel corresponding to the any PMI based on the coding information of the second coding module; and the first coding module is a coding module corresponding to the any PMI.). Regarding claim 38, Yang shows decoding the second information by using a first decoder corresponding to the first encoder (Par. 0098, 0210; decoding unit of network device decodes N PMIs received from a UE to obtain channel information of N channels.). Regarding claim 40, this claim is rejected based on the same reasoning as presented in the rejection of claim 32 . Claim Rejections - 35 USC § 103 07-20-aia AIA 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. 07-20-02-aia AIA This application currently names joint inventors. In considering patentability of the claims the examiner presumes that the subject matter of the various claims was commonly owned as of the effective filing date of the claimed invention(s) absent any evidence to the contrary. Applicant is advised of the obligation under 37 CFR 1.56 to point out the inventor and effective filing dates of each claim that was not commonly owned as of the effective filing date of the later invention in order for the examiner to consider the applicability of 35 U.S.C. 102(b)(2)(C) for any potential 35 U.S.C. 102(a)(2) prior art against the later invention. 07-21-aia AIA Claim (s) 31 and 39 are rejected under 35 U.S.C. 103 as being unpatentable over Yang in view of O’Shea et al. (US 2018/0367192; hereinafter O’Shea) and Gao et al. (US 2022/0271805; hereinafter Gao) . Regarding claim 31, Yang shows all of the elements including the first encoder, as discussed above. Yang does not specifically show wherein the first encoder is determined based on a relationship between a first determining parameter and a first determining threshold, the first determining parameter is determined based on the N groups of parameters and the first information, and the first determining parameter is a cosine similarity, a probability density function, a probability mass function, or a Euclidean distance. However, the above-mentioned claim limitations are well-established in the art as evidenced by O’Shea and Gao. First, O’Shea shows wherein the first encoder is determined based on a relationship between a first determining parameter and a first determining threshold, the first determining parameter is determined based on the N groups of parameters and the first information (Par. 0126-0128; the input information 408 may be chosen from a training set of information. By training on different types of information 408 and different types of MIMO channels 406, the system 400 may be trained to learn different encoding and decoding operations that are applicable to different communication scenarios. The loss function 412 may be any suitable measure, or combination of measures, of distance between the input information 408 and the reconstructed information 410. For example, the loss function 412 may include cross-entropy, f-divergence, mean squared error (MSE), clipped MSE which penalizes predicted values according to MSE but only for values which fall on the wrong side of a decision threshold.). In view of the above, having the system of Yang, then given the well-established teaching of O’Shea, it would have been obvious before the effective filing date of the claimed invention to modify the system of Yang as taught by O’Shea, in order to provide motivation to improve the algorithms and encoding for specific deployment parameters such as the delay spread, reflectors, spatial distribution, user behavior, specific impairments and/or other statistical features or distribution of a specific area, specific hardware, cellular coverage area, or operating environment, thereby improving performance from the general case or previously trained models (Par. 0033 of O’Shea). Second, Gao shows the first determining parameter is a cosine similarity, a probability density function, a probability mass function, or a Euclidean distance (Par. 0227; after the optimal fourth precoding matrix θ and the optimal third precoding matrix w are obtained, in this embodiment of this application, a codeword that is closest to an optimization result (with a minimum Euclidean distance) may be selected from a correlated codebook as actual network device precoding and IRS precoding, and is reported in a manner of reporting the Type I/II codebook.). In view of the above, having the system of Yang, then given the well-established teaching of Gao, it would have been obvious before the effective filing date of the claimed invention to modify the system of Yang as taught by Gao, in order to provide motivation to improve an SNR and estimation precision of channel estimation (Par. 0177 of Gao). Regarding claim 39, this claim is rejected based on the same reasoning as presented in the rejection of claim 31 . Conclusion 07-96 AIA The prior art made of record and not relied upon is considered pertinent to applicant's disclosure. US 20240135175 A1 - MACHINE-LEARNING ARCHITECTURES FOR BROADCAST AND MULTICAST COMMUNICATIONS US 20230179321 A1 - TRANSPORT BLOCK SIZE DETERMINATION US 11334807 B1 - LEARNING APPROXIMATE ESTIMATION NETWORKS FOR COMMUNICATION CHANNEL STAT INFORMATION US 20200382929 A1 - METHODS AND SYSTEMS FOR RELAYING FEATURE-DRIVEN COMMUNICATIONS Any inquiry concerning this communication or earlier communications from the examiner should be directed to REDENTOR M PASIA whose telephone number is (571)272-9745. The examiner can normally be reached Mondays-Thursdays - 5am-245pm and Fridays 5am-330pm. 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, Un Cho can be reached at (571)272-7919. 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. /REDENTOR PASIA/Primary Examiner, Art Unit 2413 Application/Control Number: 18/547,449 Page 2 Art Unit: 2413 Application/Control Number: 18/547,449 Page 4 Art Unit: 2413 Application/Control Number: 18/547,449 Page 5 Art Unit: 2413 Application/Control Number: 18/547,449 Page 6 Art Unit: 2413 Application/Control Number: 18/547,449 Page 7 Art Unit: 2413 Application/Control Number: 18/547,449 Page 8 Art Unit: 2413 Application/Control Number: 18/547,449 Page 9 Art Unit: 2413 Application/Control Number: 18/547,449 Page 10 Art Unit: 2413
Prosecution Insights