Prosecution Insights
Last updated: July 17, 2026
Application No. 18/646,434

CHANNEL STATE FEEDBACK METHOD AND APPARATUS

Non-Final OA §102§103§112
Filed
Apr 25, 2024
Priority
Oct 27, 2021 — CN 202111257784.2 +2 more
Examiner
MANOHARAN, MUTHUSWAMY GANAPATHY
Art Unit
2647
Tech Center
2600 — Communications
Assignee
Huawei Technologies Co., Ltd.
OA Round
1 (Non-Final)
65%
Grant Probability
Favorable
1-2
OA Rounds
1y 4m
Est. Remaining
81%
With Interview

Examiner Intelligence

Grants 65% — above average
65%
Career Allowance Rate
414 granted / 634 resolved
+3.3% vs TC avg
Strong +16% interview lift
Without
With
+15.8%
Interview Lift
resolved cases with interview
Typical timeline
3y 7m
Avg Prosecution
35 currently pending
Career history
681
Total Applications
across all art units

Statute-Specific Performance

§101
0.2%
-39.8% vs TC avg
§103
93.9%
+53.9% vs TC avg
§102
4.8%
-35.2% vs TC avg
§112
0.3%
-39.7% vs TC avg
Black line = Tech Center average estimate • Based on career data from 634 resolved cases

Office Action

§102 §103 §112
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 . Claim Rejections - 35 USC § 112 The following is a quotation of 35 U.S.C. 112(b): (b) CONCLUSION.—The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the inventor or a joint inventor regards as the invention. The following is a quotation of 35 U.S.C. 112 (pre-AIA ), second paragraph: The specification shall conclude with one or more claims particularly pointing out and distinctly claiming the subject matter which the applicant regards as his invention. Claims 2-3, 15 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, since the recitation of probability value but no mention of the probability what value or probability of “what” and therefore being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor (or for applications subject to pre-AIA 35 U.S.C. 112, the applicant), regards as the invention. 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)(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) 1, 12, 14 and 20 is/are rejected under 35 U.S.C. 102 a(1) as being anticipated by Lee et al. (hereinafter Lee)(US 2013/0265959). Regarding claim 1, Lee teaches a channel state feedback method implemented by an apparatus, comprising: receiving first indication information(item 902 in Fig. 9); and reducing a first value of first information to a second value based on the first indication information(P[0068-0069], only necessary feedback signal; item 904 in Fig. 9), wherein the second value is for determining channel state feedback information( item 903 in Fig. 9; feedback overhead), and the first information comprises channel state indicator, CQI, information or signal-to- interference-plus-noise ratio, SINR, information(item 906 in Fig. 9). Claims 12, 14 are rejected for the same reason as set forth in claim 1. Regarding claim 20, Lee teaches the apparatus according to claim 14, wherein the apparatus comprises a terminal device or a chip of a terminal device(Fig. 9). 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) 2-3, 15-16 is/are rejected under 35 U.S.C. 103 as being unpatentable over Lee et al. (hereinafter Lee)(US 2013/0265959) in view of Xu et al. (hereinafter Xu)(US 2018/0287680). Regarding claim 2, Lee teaches all the particulars of the claim except, wherein the method further comprises: receiving a second probability value, wherein the second probability value is for determining whether to reduce the first value of the first information to the second value; and that the reducing the first value of the first information to the second value based on the first indication information comprises: determining a first probability value based on the first indication information; and reducing the first value of the first information to the second value based on the first probability value and the second probability value. However, Xu teaches in an analogous art wherein the method further comprises: receiving a second probability value, wherein the second probability value is for determining whether to reduce the first value of the first information to the second value; and that the reducing the first value of the first information to the second value based on the first indication information comprises: determining a first probability value based on the first indication information; and reducing the first value of the first information to the second value based on the first probability value and the second probability value(Fig. 9, item S910, indication information; P[0061-0064], antenna ports of the current cell and antenna ports of the neighboring cell; occupancy based on great probability; measurement result is compared with threshold). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have the method further comprises: receiving a second probability value, wherein the second probability value is for determining whether to reduce the first value of the first information to the second value; and that the reducing the first value of the first information to the second value based on the first indication information comprises: determining a first probability value based on the first indication information; and reducing the first value of the first information to the second value based on the first probability value and the second probability value in order to have improved efficiency. Regarding claim 3, Xu teaches the method according to claim 2, wherein the reducing the first value of the first information to the second value based on the first probability value and the second probability value comprises: reducing the first value of the first information to the second value based on the first probability value, the second probability value, and a first threshold value(Fig. 9; P[0061-0064], occupancy based on great probability; measurement result is compared with threshold). Claims 15-16 are rejected for the same reason as set forth in claims 2-3 respectively. Claim(s) 4, 13, 17 is/are rejected under 35 U.S.C. 103 as being unpatentable over Lee et al. (hereinafter Lee)(US 2013/0265959) in view of Zhang et al. (hereinafter Zhang)(US 2025/0192836). Regarding claim 4, Lee teaches all the particulars of the claim except, wherein the first indication information further comprises at least one of the following information: a reduction value, a cosine similarity of an artificial intelligence, AI, model, and a normalized mean square error of the AI model, wherein the reduction value represents a difference between the first value and the second value, the AI model is for determining the channel state feedback information, and the cosine similarity of the AI model and the normalized mean square error of the AI model are for calculating the reduction value. However, Zhang teaches in an analogous art wherein the first indication information further comprises at least one of the following information: a reduction value, a cosine similarity of an artificial intelligence, AI, model, and a normalized mean square error of the AI model, wherein the reduction value represents a difference between the first value and the second value, the AI model is for determining the channel state feedback information, and the cosine similarity of the AI model and the normalized mean square error of the AI model are for calculating the reduction value(abstract; Fig. 7; P[0063-0065], cosine similarity; reduce reporting overhead; P[0112-0115], quantize the CSI matrix encoding in an accuracy associated with a codebook; P[0039], deep learning). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have the first indication information further comprises at least one of the following information: a reduction value, a cosine similarity of an artificial intelligence, AI, model, and a normalized mean square error of the AI model, wherein the reduction value represents a difference between the first value and the second value, the AI model is for determining the channel state feedback information, and the cosine similarity of the AI model and the normalized mean square error of the AI model are for calculating the reduction value in order to have improved latency. Claims 13, 17 are rejected for the same reason as set forth in claim 4. Claim(s) 5, 18 is/are rejected under 35 U.S.C. 103 as being unpatentable over Lee et al. (hereinafter Lee)(US 2013/0265959) in view of Zhang et al. (hereinafter Zhang)(US 2025/0192836) and Jin et al. (hereinafter Jin)(KR 20210097504 A). Regarding claim 5, Lee in view of Zhang teaches all the particulars of the claim except, wherein a square of the cosine similarity of the AI model is for calculating the reduction value. However, Jin teaches in an analogous art wherein a square of the cosine similarity of the AI model is for calculating the reduction value(Page 4; also P[0053], square of cosine similarity). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have a square of the cosine similarity of the AI model is for calculating the reduction value in order to have improved accuracy. Claim 18 is rejected for the same reason as set forth in claim 4. Claim(s) 8-9 is/are rejected under 35 U.S.C. 103 as being unpatentable over Lee et al. (hereinafter Lee)(US 2013/0265959) in view of Salem et al.(hereinafter Salem)(US 2023/0283342). Regarding claim 8, Lee teaches all the particulars of the claim except, wherein the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: quantizing the second SINR value based on second indication information to generate a third SINR value, wherein the second indication information is from a network device, and the second indication information indicates a quantization manner of the SINR information; and determining the channel state feedback information based on the third SINR value. However, Salem teaches in an analogous art wherein the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: quantizing the second SINR value based on second indication information to generate a third SINR value, wherein the second indication information is from a network device, and the second indication information indicates a quantization manner of the SINR information; and determining the channel state feedback information based on the third SINR value(title, overhead reduction CSI report quantization and encoding; P[0053], item 302 in Fig. 3; gNB in a network configures the UE to generate CSI reports; P[0038], UE reports SINR; P[0041], fewer bits than CSI quantity; quantization of the CSI quantity; P[0090-0092], CSI feedback mode; quantized value of SINR). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: quantizing the second SINR value based on second indication information to generate a third SINR value, wherein the second indication information is from a network device, and the second indication information indicates a quantization manner of the SINR information; and determining the channel state feedback information based on the third SINR value in order to have improved latency. Regarding claim 9, Salen teaches the method according to claim 8, wherein the second indication information further comprises at least one of the following: a quantity of quantization bits, a quantization range, or a quantization step(P[0093], number of bits of the value of the SINR). Claim(s) 6-7, 10-11 is/are rejected under 35 U.S.C. 103 as being unpatentable over Lee et al. (hereinafter Lee)(US 2013/0265959) in view of Salem et al.(hereinafter Salem)(US 2023/0283342) and Wang et al. (hereinafter Wang)(US 2023/0246695). Regarding claim 6, Lee teaches all the particulars of the claim except, wherein the first information is the CQI information, the first value is a first CQI value, and the second value is a second CQI value; and the reducing a first value of first information to a second value based on the first indication information comprises: determining the first CQI value based on a first SINR value, wherein the first SINR value is determined based on a channel eigenvector, and the channel eigenvector indicates information about a downlink channel; and reducing the first CQI value of the CQI information to the second CQI value based on the first indication information However, Wang teaches in an analogous art wherein the first information is the CQI information, the first value is a first CQI value, and the second value is a second CQI value; and the reducing a first value of first information to a second value based on the first indication information comprises: determining the first CQI value based on a first SINR value, wherein the first SINR value is determined based on a channel eigenvector, and the channel eigenvector indicates information about a downlink channel; and reducing the first CQI value of the CQI information to the second CQI value based on the first indication information(item S504-S505 in Fig. 5; P[0040], CSI may include CQI; feedback information includes signal-t-interference ratio (SINR); characteristic value of channel matrix is channel eigen vector; P[0076-0083], transformed channel characteristics; compression characteristics; first value before compression and second value after compression). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have the first information is the CQI information, the first value is a first CQI value, and the second value is a second CQI value; and the reducing a first value of first information to a second value based on the first indication information comprises: determining the first CQI value based on a first SINR value, wherein the first SINR value is determined based on a channel eigenvector, and the channel eigenvector indicates information about a downlink channel; and reducing the first CQI value of the CQI information to the second CQI value based on the first indication information in order to have improved latency. Regarding claim 7, Lee teaches all the particulars of the claim except, wherein the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining a second CQI value based on the second SINR value. However, Wang teaches in an analogous art wherein the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining a second CQI value based on the second SINR value(item S504-S505 in Fig. 5; P[0040], feedback information includes signal-t-interference ratio (SINR); characteristic value of channel matrix is channel eigen vector; P[0076-0083], transformed channel characteristics; compression characteristics; first value before compression and second value after compression). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have wherein the first information is the SINR information, the first value is a first SINR value, and the second value is a second SINR value; the reducing a first value of first information to a second value based on the first indication information comprises: reducing the first SINR value of the SINR information to the second SINR value based on the first indication information; and after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining a second CQI value based on the second SINR value in order to have improved latency. Regarding claim 10, Lee in view of Salen teaches all the particulars of the claim except, wherein the method further comprises: receiving a channel state information reference signal (CSI-RS) from the network device; and determining the channel eigenvector based on the CSI-RS. However, Wang teaches in an analogous art wherein the method further comprises: receiving a channel state information reference signal (CSI-RS) from the network device; and determining the channel eigenvector based on the CSI-RS(P[0040], feedback information may be the channel state reference signal (CSI); characteristic vector of channel matrix(eigen vector); P[0002], reduce the overhead). Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have wherein the method further comprises: receiving a channel state information reference signal (CSI-RS) from the network device; and determining the channel eigenvector based on the CSI-RS in order to have improved efficiency. Regarding claim 11, Lee in view of Salen teaches all the particulars of the claim except, wherein after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining the channel state feedback information based on the second value; and sending the channel state feedback information to the network device. However, Wang teaches in an analogous art wherein after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining the channel state feedback information based on the second value; and sending the channel state feedback information to the network device(item 2 in Fig. 1B indication information; P[0040], feedback information may be the channel state reference signal (CSI); Fig. 5, compressed channel characteristics; transmit the compressed channel characteristics; P[0002], reduce the overhead) . Therefore, it would be obvious to one of ordinary skill in the art before the effective filing date of the invention to have wherein after the reducing a first value of first information to a second value based on the first indication information, the method further comprises: determining the channel state feedback information based on the second value; and sending the channel state feedback information to the network device in order to have improved efficiency. Claim 19 is rejected for the same reason as set forth in claim 6. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to MUTHUSWAMY GANAPATHY MANOHARAN whose telephone number is (571)272-5515. The examiner can normally be reached 6:30am-3:00pm. 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, Alison T Slater can be reached at 571-270-0375. 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. /MUTHUSWAMY G MANOHARAN/ Primary Examiner, Art Unit 2647
Read full office action

Prosecution Timeline

Apr 25, 2024
Application Filed
Aug 16, 2024
Response after Non-Final Action
Jun 03, 2026
Non-Final Rejection mailed — §102, §103, §112 (current)

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Prosecution Projections

1-2
Expected OA Rounds
65%
Grant Probability
81%
With Interview (+15.8%)
3y 7m (~1y 4m remaining)
Median Time to Grant
Low
PTA Risk
Based on 634 resolved cases by this examiner. Grant probability derived from career allowance rate.

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