Prosecution Insights
Last updated: May 29, 2026
Application No. 18/815,330

COMMUNICATION METHOD AND APPARATUS

Final Rejection §103
Filed
Aug 26, 2024
Priority
Feb 28, 2022 — CN 202210191893.7 +2 more
Examiner
CORRIELUS, JEAN B
Art Unit
2633
Tech Center
2600 — Communications
Assignee
Huawei Technologies Co., Ltd.
OA Round
2 (Final)
90%
Grant Probability
Favorable
3-4
OA Rounds
7m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 90% — above average
90%
Career Allowance Rate
880 granted / 983 resolved
+27.5% vs TC avg
Strong +16% interview lift
Without
With
+15.7%
Interview Lift
resolved cases with interview
Typical timeline
2y 4m
Avg Prosecution
11 currently pending
Career history
993
Total Applications
across all art units

Statute-Specific Performance

§101
6.9%
-33.1% vs TC avg
§103
47.3%
+7.3% vs TC avg
§102
8.3%
-31.7% vs TC avg
§112
30.4%
-9.6% vs TC avg
Black line = Tech Center average estimate • Based on career data from 983 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 . 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) 1, 6, 8 and 13 is/are rejected under 35 U.S.C. 103 as being unpatentable over Peroulas US Patent Application Publication No. US 20120170635 A1 in view of Chi et al US Patent Application Publication No. US 2024/0356591 A1. As per claim 1, Peroulas discloses a communication method and apparatus (fig. 1, figs. 5-7) , comprising: obtaining M pieces of first channel estimation information (note at least fig. 7, 704), wherein an mth piece of first channel estimation information in the M pieces of first channel estimation information is estimation information of a channel between an mth cell node (505a or 505b) in M cell nodes (505a and 505b) and a terminal device (510), M is a positive integer greater than 1, and m is a positive integer from 1 to M (as shown in at least fig. 5, a wireless channel is shown to be connecting a UE to a base station(s) and the channel estimates as obtained in fig. 7, 704 defined the characteristics of that channel between a UE and a base station); and determining M pieces of second channel estimation information (refined channels) based on at least one of the M pieces of first channel estimation information (708), wherein an mth piece of second channel estimation information in the M pieces of second channel estimation information corresponds to the channel between the m, cell node and the terminal device (as shown in at least fig. 5, a wireless channel is shown to be connecting a UE to a base station(s) and the channel estimates as obtained in fig. 7, 704 defined the characteristics of that channel between a UE and a base station). However, it fails to teach the additional limitations of “device, and the M pieces of second channel estimation information is for training a model, when the model is trained, an input of the model is determined based on channel information of the channel between the mth cell node and the terminal device. Chi et al discloses system (fig. 1) including element (100)/fig. 10 having a unit (101) configured to receive channel information from mobile apparatus (9) see at least para. [0121] provided to an input of a model (102) , and to train a model , the input of the model is determined based on channel information of the channel between a network (cell) node (10) and a terminal device (20). Therefore, it would have been obvious to one skill in the art to have modify Peroulas to train a model by using the M pieces of second channel estimation information and to determine the input of the model based on channel information of the channel between the mth cell node and the terminal device in light of the teaching of Chi in to improve spectral efficiency (Chi para. [0052]). As per claim 6, wherein the obtaining M pieces of first channel estimation information comprises: obtaining the mth piece of first channel estimation information from the first device, wherein the first device is the mth cell node, or the first device is the terminal device(as indicated in fig. 7, the plurality of channel estimation information is obtained in step 704 and further para. [0088], lines 1-3 teaches that the process is implemented either in a mobile device (first device) or a base station (first device)). As per claim 8, see rejection of claim 1. In addition, Peroulas further teaches fig.6 includes at least one memory coupled to a processor see at least para. [0087] and para. [0094], at least lines 1-8. As per claim 13, see rejection of claim 6. Allowable Subject Matter Claims 2-5, 7, 9-12, 14 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. Claims 15-20 are allowed. The following is a statement of reasons for the indication of allowable subject matter: Peroulas discloses a communication method and apparatus (fig. 1, figs. 5-7) , comprising: obtaining M pieces of first channel estimation information (note at least fig. 7, 704), wherein an mth piece of first channel estimation information in the M pieces of first channel estimation information is estimation information of a channel between an mth cell node (505a or 505b) in M cell nodes (505a and 505b) and a terminal device (510), M is a positive integer greater than 1, and m is a positive integer from 1 to M (as shown in at least fig. 5, a wireless channel is shown to be connecting a UE to a base station(s) and the channel estimates as obtained in fig. 7, 704 defined the characteristics of that channel); and determining M pieces of second channel estimation information (refined channels) based on at least one of the M pieces of first channel estimation information (708), wherein an mth piece of second channel estimation information in the M pieces of second channel estimation information corresponds to the channel between the m, cell node and the terminal device (as shown in at least fig. 5, a wireless channel is shown to be connecting a UE to a base station(s) and the channel estimates as obtained in fig. 7, 704 defined the characteristics of that channel). However, Peroulas taken alone or in combination does not seem to teach the additional limitations of” obtaining information indicating a model, wherein when the model is trained, an input of the model is determined based on channel information of the channel between the mth cell node and the terminal device, and a label corresponding to the input is determined based on the second channel estimation information corresponding to the channel between the mth cell node and the terminal device” recited in claim 15. Conclusion Applicant's amendment necessitated the new ground(s) of rejection presented in this Office action. Accordingly, THIS ACTION IS MADE FINAL. See MPEP § 706.07(a). Applicant is reminded of the extension of time policy as set forth in 37 CFR 1.136(a). A shortened statutory period for reply to this final action is set to expire THREE MONTHS from the mailing date of this action. In the event a first reply is filed within TWO MONTHS of the mailing date of this final action and the advisory action is not mailed until after the end of the THREE-MONTH shortened statutory period, then the shortened statutory period will expire on the date the advisory action is mailed, and any nonprovisional extension fee (37 CFR 1.17(a)) pursuant to 37 CFR 1.136(a) will be calculated from the mailing date of the advisory action. In no event, however, will the statutory period for reply expire later than SIX MONTHS from the mailing date of this final action. Any inquiry concerning this communication or earlier communications from the examiner should be directed to JEAN B CORRIELUS whose telephone number is (571)272-3020. The examiner can normally be reached 10:00AM-3:00PM Monday-Thursday. 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, Sam K Ahn can be reached at 571-272-3044. 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. /JEAN B CORRIELUS/Primary Examiner, Art Unit 2633
Read full office action

Prosecution Timeline

Aug 26, 2024
Application Filed
Oct 14, 2024
Response after Non-Final Action
Dec 10, 2025
Non-Final Rejection mailed — §103
Mar 05, 2026
Response Filed
Apr 24, 2026
Final Rejection mailed — §103 (current)

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Study what changed to get past this examiner. Based on 5 most recent grants.

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Prosecution Projections

3-4
Expected OA Rounds
90%
Grant Probability
99%
With Interview (+15.7%)
2y 4m (~7m remaining)
Median Time to Grant
Moderate
PTA Risk
Based on 983 resolved cases by this examiner. Grant probability derived from career allowance rate.

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