Prosecution Insights
Last updated: April 19, 2026
Application No. 18/689,485

METHOD FOR PROCESSING CHANNEL STATE INFORMATION, AND TERMINAL, BASE STATION AND COMPUTER-READABLE STORAGE MEDIUM

Non-Final OA §102
Filed
Mar 06, 2024
Examiner
ACOLATSE, KODZOVI
Art Unit
2478
Tech Center
2400 — Computer Networks
Assignee
ZTE CORPORATION
OA Round
1 (Non-Final)
83%
Grant Probability
Favorable
1-2
OA Rounds
2y 8m
To Grant
99%
With Interview

Examiner Intelligence

Grants 83% — above average
83%
Career Allow Rate
761 granted / 913 resolved
+25.4% vs TC avg
Strong +22% interview lift
Without
With
+22.3%
Interview Lift
resolved cases with interview
Typical timeline
2y 8m
Avg Prosecution
63 currently pending
Career history
976
Total Applications
across all art units

Statute-Specific Performance

§101
5.0%
-35.0% vs TC avg
§103
52.7%
+12.7% vs TC avg
§102
25.0%
-15.0% vs TC avg
§112
8.5%
-31.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 913 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 . This is responsive to Application 18/689,485 filed 03/06/2024 in which claims 1-3, 6-8, 10, 15-17, 19-23 and 27-31 are presented for examination. Allowable Subject Matter Claims 7 and 23 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. 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. Claims 1-3, 6, 8, 10, 15-17, 19-22 and 27-31 are rejected under 35 U.S.C. 102(a)(2) as being anticipated by Chen et al (US 2024/0137093 A1). Regarding claim 1, Chen teaches a method for processing channel state information, comprising: pre-processing original channel information to generate first channel information comprising a plurality of first channel information components (Chen: Fig. 4; [0067]-[0068] performing DFT/pre-processing on obtained CSI matrix); performing compression coding according to at least one first channel information component of the first channel information to generate second channel information (Chen: Fig. 4; [0071], compressing the real part and the imaginary part of the CSI matrix to generated compressed encoded CSI matrix); and feeding back channel state information comprising at least the second channel information (Chen: Fig. 4; [0072]-[0073], UE report the compressed encoded CSI matrix to the network device). Regarding claim 15, Chen teaches a method for processing channel state information, comprising: receiving channel state information comprising at least second channel information obtained by performing compression coding according to at least one first channel information component of first channel information, wherein the first channel information is obtained by pre-processing original channel information (Chen: Fig. 5:S501; [0076]-[0077]); performing decompression decoding according to the second channel information to obtain third channel information; and determining target channel information according to at least the third channel information (Chen: Fig. 5;:S502; [0078]-[0079]). Regarding claim 28, Chen teaches a terminal, comprising: at least one processor; and a memory having at least one computer program stored thereon which, when executed by the at least one processor, causes the at least one processor to implement the method for processing channel state information according to claim 1 (See rejection of claim 1). Regarding claim 29, Chen teaches a base station, comprising: at least one processor; and a memory having at least one computer program stored thereon which, when executed by the at least one processor, causes the at least one processor to implement the method for processing channel state information according to claim 15 (See rejection of claim 15). Regarding claim 30, Chen teaches a non-transitory computer-readable storage medium having a computer program stored thereon which, when executed by a processor, causes the method for processing channel state information according to claim 1 (See rejection of claim 1). Regarding claim 31, Chen teaches a non-transitory computer-readable storage medium having a computer program stored thereon which, when executed by a processor, causes the method for processing channel state information according to claim 15 (See rejection of claim 15). Regarding claim 2, Chen teaches wherein pre-processing the original channel information to generate the first channel information comprises: generating a plurality of original channel information components according to the original channel information, wherein the original channel information components have the same dimension as the original channel information (Chen: Fig. 4; [0067]-[0072] generating real part and imaginary part of the CSI matrix); and stacking the plurality of the original channel information components to generate the first channel information, wherein one of the original channel information components constitutes one of the first channel information components (Chen: [0046], [0103], real part and imaginary part stacked). Regarding claim 3, Chen teaches wherein generating a plurality of original channel information components according to the original channel information comprises one of the following extracting real parts of all elements in the original channel information to form a real part matrix as one of the original channel information components and extracting imaginary parts of all elements in the original channel information to form a real part matrix as one of the original channel information components (Chen: Fig. 4; [0071]-[0073]). Regarding claim 6, Chen teaches wherein performing compression coding according to at least one first channel information component of the first channel information to generate second channel information comprises: performing compression coding on each of the first channel information components to obtain the second channel information (Chen: Fig. 4; [0071]); and feeding back channel state information comprises: taking the second channel information as the channel state information for feedback (Chen: Fig. 4; [0072]-[0073]). Regarding claim 8, Chen teaches before pre-processing the original channel information to generate first channel information, determining, according to channel characteristic information, a pre-processing mode for pre-processing the original channel information; and feeding back information of the determined pre-processing mode to a base station (Chen: Fig. 4; [0067]-[0073] taking DFT/pre-processing and feeding back to the network). Regarding claim 10, Chen teaches before performing compression coding according to at least one first channel information component of the first channel information to generate second channel information, determining, according to channel characteristic information, a feedback mode for feeding back the channel state information, wherein the feedback mode indicates performing compression coding on all first channel information components of the first channel information, or performing compression coding on part of first channel information components of the first channel information; and feeding back information of the determined feedback mode to a base station (Chen: Fig. 4; [0067]-[0073] taking DFT/pre-processing and feeding back to the network the compressed encoded matrix). Regarding claim 16, Chen teaches wherein performing decompression decoding according to the second channel information to obtain third channel information comprises: decompressing the second channel information to obtain sixth channel information; generating fourth channel information according to auxiliary channel information and the sixth channel information; and decoding the fourth channel information to obtain the third channel information (Chen: Fig. 5; [0076]-[0079]). Regarding claim 17, Chen teaches wherein generating fourth channel information according to auxiliary channel information and the sixth channel information comprises one of the following: stacking the auxiliary channel information and the sixth channel information to generate the fourth channel information (Chen: Fig. 5; [0088]-[00-89], [0184]). Regarding claim 19, Chen teaches wherein generating the fourth channel information from the first vector and the second vector comprises: stacking the first vector and the second vector to generate a third vector; and generating a channel matrix according to the third vector, and obtaining the fourth channel information. (Chen: Fig. 5; [0088]-[00-89], [0184]). Regarding claim 20, Chen teaches before performing decompression decoding according to the second channel information to obtain third channel information, pre-processing, according to pre-processing mode information for pre-processing the original channel information fed back by the terminal, uplink channel information according to a pre-processing mode for pre-processing the original channel information by the terminal, and determining the auxiliary channel information according to the pre- processed uplink channel information (Chen: See Fig. 5, 9 and 10]). Regarding claim 21, Chen teaches wherein determining the auxiliary channel information according to the pre-processed uplink channel information comprises: forming, according to information of feedback mode fed back by the terminal, the auxiliary channel information from at least one uplink channel information component of the pre-processed uplink channel information, wherein information of the feedback mode indicates that the terminal performs compression coding on all first channel information components of the first channel information, or performs compression coding on part of first channel information components of the first channel information (Chen: See Fig. 5, 9 and 10]). Regarding claim 22, Chen teaches wherein the channel state information comprises the second channel information; and determining target channel information according to at least the third channel information comprises: performing, according to pre-processing mode information for pre- processing the original channel information fed back by the terminal, inverse processing on the third channel information to obtain the target channel information (Chen: See Fig. 5, 9 and 10]). Regarding claim 27, Chen teaches determining at least one of indexes of a plurality of pre-processing modes, indexes of a plurality of feedback modes, or indexes of neural network parameters of a plurality of sets of auto-encoders; and configuring at least one of the indexes of the plurality of pre-processing modes, the indexes of the plurality of feedback modes, or the indexes of neural network parameters of the plurality of sets of auto-encoders to the terminal through at least one of physical layer signaling or higher-layer signaling (Chen: Fig. 9-10; [0046], [0103]). Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to KODZOVI ACOLATSE whose telephone number is (571)270-1999. The examiner can normally be reached Monday to Friday 10 am to 6pm. 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, Avellino Joseph can be reached at (571) 272-3905. 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. /KODZOVI ACOLATSE/Primary Examiner, Art Unit 2478
Read full office action

Prosecution Timeline

Mar 06, 2024
Application Filed
Feb 11, 2026
Non-Final Rejection — §102 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12604218
PERFORMANCE DEGRADATION HANDLING BETWEEN RADIO ACCESS NETWORK NODES
2y 5m to grant Granted Apr 14, 2026
Patent 12604166
METHOD AND SYSTEM FOR DYNAMIC APN SELECTION
2y 5m to grant Granted Apr 14, 2026
Patent 12598028
COMMUNICATION APPARATUS AND COMMUNICATION METHOD
2y 5m to grant Granted Apr 07, 2026
Patent 12598620
TERMINAL, RADIO COMMUNICATION METHOD, AND BASE STATION
2y 5m to grant Granted Apr 07, 2026
Patent 12593341
METHOD FOR CARRIER DETERMINATION, TERMINAL DEVICE, AND NETWORK DEVICE
2y 5m to grant Granted Mar 31, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

AI Strategy Recommendation

Get an AI-powered prosecution strategy using examiner precedents, rejection analysis, and claim mapping.
Powered by AI — typically takes 5-10 seconds

Prosecution Projections

1-2
Expected OA Rounds
83%
Grant Probability
99%
With Interview (+22.3%)
2y 8m
Median Time to Grant
Low
PTA Risk
Based on 913 resolved cases by this examiner. Grant probability derived from career allow rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month