Prosecution Insights
Last updated: August 17, 2026
Application No. 18/617,385

INTEGER AND NON-INTEGER BASED VECTOR PERTURBATION PRECODING IN MU-MIMO

Non-Final OA §103
Filed
Mar 26, 2024
Priority
May 24, 2023 — provisional 63/468,749 +1 more
Examiner
LIN, WILL W
Art Unit
Tech Center
Assignee
Samsung Electronics Co., Ltd.
OA Round
1 (Non-Final)
93%
Grant Probability
Favorable
1-2
OA Rounds
0m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 93% — above average
93%
Career Allowance Rate
469 granted / 502 resolved
+33.4% vs TC avg
Moderate +6% lift
Without
With
+6.0%
Interview Lift
resolved cases with interview
Fast prosecutor
2y 1m
Avg Prosecution
21 currently pending
Career history
536
Total Applications
across all art units

Statute-Specific Performance

§101
5.9%
-34.1% vs TC avg
§103
59.2%
+19.2% vs TC avg
§102
3.6%
-36.4% vs TC avg
§112
19.2%
-20.8% vs TC avg
Black line = Tech Center average estimate • Based on career data from 502 resolved cases

Office Action

§103
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 . DETAILED ACTION This office action is in response to the application filed on 03/26/2024. Claims 1-20 are currently pending. Claims 1-20 are rejected. Claims 1, 8 and 15 are independent claims. Claim Rejections - 35 USC § 103 5. 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 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. 6. 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. 7. The factual inquiries set forth in Graham v. John Deere Co., 383 U.S. 1, 148 USPQ 459 (1966), that are applied for establishing a background for determining obviousness under pre-AIA 35 U.S.C. 103(a) are summarized as follows: 1. Determining the scope and contents of the prior art. 2. Ascertaining the differences between the prior art and the claims at issue. 3. Resolving the level of ordinary skill in the pertinent art. 4. Considering objective evidence present in the application indicating obviousness or nonobviousness. 8. Claims 1-2, 4-5, 8-9, 11-12, 15-16 and 18-19 are rejected under 35 U.S.C. 103 as being unpatentable over Nuan SONG et al. (US 2021/0067215 A1), hereinafter SONG, in view of Masaaki Fujii et al. (US 2016/0065257 A1), hereinafter Fujii. For claim 1, SONG teaches a method performed by a base station (BS) in a communication system, the method comprising: enabling or disabling non-linear precoding of data (SONG, Fig. 5 step 504 and paragraph 44 teach the gNB may then, at 504, design the non-linear precoder, and generate dual DMRS (e.g., DMRS1 and DMRS2) and data.); transmitting, to a user equipment (UE), information including non-linear precoding schemes and parameters related to non-linear precoding (SONG, Fig. 5 and paragraph 35 teach the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.); determining, based on the non-linear schemes, perturbation vectors (SONG, Fig. 2 and paragraph 45 teach the modulo operation inside the feedback loop may be removed and equivalently a vector perturbation v may be added to the original data s∈custom-character.sup.r before the loop, where each element v.sub.i is v.sub.i∈{2√{square root over (M)}.Math.(v.sub.1+jv.sub.Q)|v.sub.I, v.sub.Q ∈custom-character} for M-ary QAM modulated signals.); modulating data signals with the perturbation vectors (SONG, Figs. 2, 5 and paragraph 46 teach a gNB may construct a PDSCH transmission including two linearly precoded DMRS (e.g., DMRS1, DMRS2) and may perform both linear precoding & non-linear interference pre-subtraction of the data, followed by the modular operation.); and transmitting, to the UE, the modulated data signals (SONG, Figs. 2, 5 and paragraph 46 teach the gNB may then send the resulting transmit signal to the UE(s).). Fujii further teaches performing non-linear precoding technology by using a Vector Perturbation (VP) method (Fujii, Fig. 3 and paragraphs 83-90 teach a wireless transmission device using the non-linear precoding technology, an example of a wireless transmission device performing precoding processing on a transmission signal by using a Vector Perturbation (VP) method will be described with reference to FIG. 3. See also summary.). 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 method taught in SONG with performing non-linear precoding technology by using a Vector Perturbation (VP) method taught in Fujii in order to reduce transmission power required [Fujii: summary]. For claim 2, SONG and Fujii further teach the method of claim 1, further comprising: transmitting, to the UE, a downlink control information (DCI) indicating a switch between the vector perturbation schemes and a linear precoding scheme, wherein the switching between the vector perturbation schemes and a linear precoding scheme is performed based on the DCI (SONG, Figs. 1, 4, 5 and paragraph 35 teach Referring again to the example of FIG. 1 introduced above, a non-linear precoding procedure may include an explicit CSI acquisition stage and linear & non-linear precoding stage for the downlink data. In one embodiment, the explicit CSI feedback 101 acquired by the gNB, from UE(s), may also include information on the UE(s) capability of demodulating non-linearly precoded data. According to certain embodiments, the gNB may further determine the precoding type (e.g., in the MU MIMO with non-linear precoding mode) and may schedule UE(s) for non-linear precoding. In an embodiment, the gNB may also calculate the linear precoding matrix. As discussed above, the acquired CSI may include: (1) the combination of CQI, RI, and explicit transmit channel covariance; (2) the combination of CQI, RI, PMI, and explicit effective/beamformed channel, and/or (3) obtained via a CSI reporting including CQI, RI, PMI along with the CSI directly estimated via transmit-receive beamformed uplink sounding based on reciprocity. According to one example embodiment, the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.). For claim 4, SONG and Fujii further teach the method of claim 1, further comprising: receiving, from the UE, UE data decoding capability information relating to capability of the UE to decode the modulated data signals modulated with the perturbation vectors (SONG, Fig. 5 and paragraph 43 teach The gNB may, at 503, recognize the UE(s) capability of being linearly or non-linearly precoded, determine precoding types based on CSI, carry out scheduling, and determine the Tx linear precoder.). For claim 5, SONG and Fujii further teach the method of claim 1, wherein the vector perturbation schemes and parameters include an indication of UE-group specific vector perturbation precoding for a first group of UEs including the UE and linear precoding for a second group of UEs (SONG, Figs. 1, 2 and paragraph 34 teach linear precoding for a first group of UEs and non-linear precoding for a second group of UEs.). For claim 8, SONG teaches a base station (BS) in a communication system (SONG, Fig. 5), the BS comprising: a transceiver (SONG, Fig. 6a item 18); and a processor (SONG, Fig. 6a item 12) configured to enable or disable non-linear precoding of data (SONG, Fig. 5 step 504 and paragraph 44 teach the gNB may then, at 504, design the non-linear precoder, and generate dual DMRS (e.g., DMRS1 and DMRS2) and data.); transmit, to a user equipment (UE), information including non-linear precoding schemes and parameters related to non-linear precoding (SONG, Fig. 5 and paragraph 35 teach the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.); determine, based on the non-linear schemes, perturbation vectors (SONG, Fig. 2 and paragraph 45 teach the modulo operation inside the feedback loop may be removed and equivalently a vector perturbation v may be added to the original data s∈custom-character.sup.r before the loop, where each element v.sub.i is v.sub.i∈{2√{square root over (M)}.Math.(v.sub.1+jv.sub.Q)|v.sub.I, v.sub.Q ∈custom-character} for M-ary QAM modulated signals.); modulate data signals with the perturbation vectors (SONG, Figs. 2, 5 and paragraph 46 teach a gNB may construct a PDSCH transmission including two linearly precoded DMRS (e.g., DMRS1, DMRS2) and may perform both linear precoding & non-linear interference pre-subtraction of the data, followed by the modular operation.); and transmit, to the UE, the modulated data signals (SONG, Figs. 2, 5 and paragraph 46 teach the gNB may then send the resulting transmit signal to the UE(s).). Fujii further teaches performing non-linear precoding technology by using a Vector Perturbation (VP) method (Fujii, Fig. 3 and paragraphs 83-90 teach a wireless transmission device using the non-linear precoding technology, an example of a wireless transmission device performing precoding processing on a transmission signal by using a Vector Perturbation (VP) method will be described with reference to FIG. 3. See also summary.). 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 method taught in SONG with performing non-linear precoding technology by using a Vector Perturbation (VP) method taught in Fujii in order to reduce transmission power required [Fujii: summary]. For claim 9, SONG and Fujii further teach the BS of claim 8, wherein: the processor is further configured to transmit, to the UE, a downlink control information (DCI) indicating a switch between the vector perturbation schemes and a linear precoding scheme, and switching between the vector perturbation schemes and a linear precoding scheme is performed based on the DCI (SONG, Figs. 1, 4, 5 and paragraph 35 teach Referring again to the example of FIG. 1 introduced above, a non-linear precoding procedure may include an explicit CSI acquisition stage and linear & non-linear precoding stage for the downlink data. In one embodiment, the explicit CSI feedback 101 acquired by the gNB, from UE(s), may also include information on the UE(s) capability of demodulating non-linearly precoded data. According to certain embodiments, the gNB may further determine the precoding type (e.g., in the MU MIMO with non-linear precoding mode) and may schedule UE(s) for non-linear precoding. In an embodiment, the gNB may also calculate the linear precoding matrix. As discussed above, the acquired CSI may include: (1) the combination of CQI, RI, and explicit transmit channel covariance; (2) the combination of CQI, RI, PMI, and explicit effective/beamformed channel, and/or (3) obtained via a CSI reporting including CQI, RI, PMI along with the CSI directly estimated via transmit-receive beamformed uplink sounding based on reciprocity. According to one example embodiment, the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.). For claim 11, SONG and Fujii further teach the BS of claim 8, wherein the processor is further configured to receive, from the UE, UE data decoding capability information relating to capability of the UE to decode the modulated data signals modulated with the perturbation vectors (SONG, Fig. 5 and paragraph 43 teach The gNB may, at 503, recognize the UE(s) capability of being linearly or non-linearly precoded, determine precoding types based on CSI, carry out scheduling, and determine the Tx linear precoder.). For claim 12, SONG and Fujii further teach the BS of claim 8, wherein the vector perturbation schemes and parameters include an indication of UE-group specific vector perturbation precoding for a first group of UEs including the UE and linear precoding for a second group of UEs (SONG, Figs. 1, 2 and paragraph 34 teach linear precoding for a first group of UEs and non-linear precoding for a second group of UEs.). For claim 15, SONG teaches a user equipment (UE) in a communication system (SONG, Fig. 5), the UE comprising: a transceiver (SONG, Fig. 6b item 28) configured to receive, from a base station (BS), signaling enabling or disabling non-linear precoding of data (SONG, Fig. 5 step 504 and paragraph 44 teach the gNB may then, at 504, design the non-linear precoder, and generate dual DMRS (e.g., DMRS1 and DMRS2) and data.), receive, from the BS, information including non-linear precoding schemes and parameters related to non-linear precoding (SONG, Fig. 5 and paragraph 35 teach the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.), and receive, from the BS, data signals modulated by perturbation vectors (SONG, Figs. 2, 5 and paragraph 46 teach a gNB may construct a PDSCH transmission including two linearly precoded DMRS (e.g., DMRS1, DMRS2) and may perform both linear precoding & non-linear interference pre-subtraction of the data, followed by the modular operation.) determined based on the non-linear precoding schemes (SONG, Fig. 2 and paragraph 45 teach the modulo operation inside the feedback loop may be removed and equivalently a vector perturbation v may be added to the original data s∈custom-character.sup.r before the loop, where each element v.sub.i is v.sub.i∈{2√{square root over (M)}.Math.(v.sub.1+jv.sub.Q)|v.sub.I, v.sub.Q ∈custom-character} for M-ary QAM modulated signals.); and a processor (SONG, Fig. 6b item 22) configured to demodulate the data signals according to the perturbation vectors (SONG, Figs. 2, 5 and paragraph 47 teach to correctly demodulate the data that undergoes both linear and non-linear precoding, two-step UE-specific DMRS demodulation may be used.). Fujii further teaches performing non-linear precoding technology by using a Vector Perturbation (VP) method (Fujii, Fig. 3 and paragraphs 83-90 teach a wireless transmission device using the non-linear precoding technology, an example of a wireless transmission device performing precoding processing on a transmission signal by using a Vector Perturbation (VP) method will be described with reference to FIG. 3. See also summary.). 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 method taught in SONG with performing non-linear precoding technology by using a Vector Perturbation (VP) method taught in Fujii in order to reduce transmission power required [Fujii: summary]. For claim 16, SONG and Fujii further teach the UE of claim 15, wherein: the processor is further configured to receive, from the BS, a downlink control information (DCI) indicating a switch between the vector perturbation schemes and a linear precoding scheme, and the switching between the vector perturbation schemes and a linear precoding scheme is performed based on the DCI (SONG, Figs. 1, 4, 5 and paragraph 35 teach Referring again to the example of FIG. 1 introduced above, a non-linear precoding procedure may include an explicit CSI acquisition stage and linear & non-linear precoding stage for the downlink data. In one embodiment, the explicit CSI feedback 101 acquired by the gNB, from UE(s), may also include information on the UE(s) capability of demodulating non-linearly precoded data. According to certain embodiments, the gNB may further determine the precoding type (e.g., in the MU MIMO with non-linear precoding mode) and may schedule UE(s) for non-linear precoding. In an embodiment, the gNB may also calculate the linear precoding matrix. As discussed above, the acquired CSI may include: (1) the combination of CQI, RI, and explicit transmit channel covariance; (2) the combination of CQI, RI, PMI, and explicit effective/beamformed channel, and/or (3) obtained via a CSI reporting including CQI, RI, PMI along with the CSI directly estimated via transmit-receive beamformed uplink sounding based on reciprocity. According to one example embodiment, the gNB may use PDCCH transmission 104 to include a specific downlink indicator to inform the UEs that they are scheduled to be non-linearly precoded.). For claim 18, SONG and Fujii further teach the UE of claim 15, wherein the processor is further configured to transmit, to the BS, UE data decoding capability information relating to capability of the UE to decode the modulated data signals modulated with the perturbation vectors (SONG, Fig. 5 and paragraph 43 teach The gNB may, at 503, recognize the UE(s) capability of being linearly or non-linearly precoded, determine precoding types based on CSI, carry out scheduling, and determine the Tx linear precoder.). For claim 19, SONG and Fujii further teach the UE of claim 15, wherein the vector perturbation schemes and parameters include an indication of UE-group specific vector perturbation precoding for a first group of UEs including the UE and linear precoding for a second group of UEs (SONG, Figs. 1, 2 and paragraph 34 teach linear precoding for a first group of UEs and non-linear precoding for a second group of UEs.). 9. Claims 3, 6-7, 10, 13-14, 17 and 20 are rejected under 35 U.S.C. 103 as being unpatentable over Nuan SONG et al. (US 2021/0067215 A1), hereinafter SONG, in view of Masaaki Fujii et al. (US 2016/0065257 A1), hereinafter Fujii and Hiromichi TOMEBA et al. (US 2016/0173175 A1), hereinafter TOMEBA. For claim 3, SONG and Fujii teach all the limitations of parent claim 1. SONG and Fujii do not explicitly teach the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters. However, TOMEBA explicitly teaches the parameters related to vector perturbation precoding include a power normalization factor (TOMEBA, Fig. 4 and paragraph 85 teach β is a power normalization term which makes an average transmit power of the transmission signal vector s fixed..), a modulo threshold (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2..), and quantization parameters (TOMEBA, Fig. 4 and paragraph 92 teach the base station apparatus 1 has a configuration to transmit different control information by a different channel in order to notify the terminal apparatus 2 of a modulation method, a coding rate, and the like, information associated with the covariance matrix P.sub.x may be notified as a part of the control information.). 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 method taught in SONG and Fujii with the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 6, SONG and Fujii teach all the limitations of parent claim 1. SONG and Fujii do not explicitly teach wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation. However, TOMEBA explicitly teaches wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2. See also paragraph 78.). 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 method taught in SONG and Fujii with wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 7, SONG and Fujii the method of claim 1, wherein the vector perturbation schemes and parameters in one of a physical downlink shared channel (PDSCH) or a downlink control information (DCI) (SONG, Figs. 2, 5 and paragraph 46 teach a gNB may construct a PDSCH transmission including two linearly precoded DMRS (e.g., DMRS1, DMRS2) and may perform both linear precoding & non-linear interference pre-subtraction of the data, followed by the modular operation.). SONG and Fujii do not explicitly teach the vector perturbation schemes and parameters include a power normalization parameter γ. However, TOMEBA explicitly teaches the vector perturbation schemes and parameters include a power normalization parameter γ (TOMEBA, Fig. 4 and paragraph 85 teach β is a power normalization term which makes an average transmit power of the transmission signal vector s fixed..),. 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 method taught in SONG and Fujii with the vector perturbation schemes and parameters include a power normalization parameter γ taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 10, SONG and Fujii teach all the limitations of parent claim 8. SONG and Fujii do not explicitly teach the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters. However, TOMEBA explicitly teaches the parameters related to vector perturbation precoding include a power normalization factor (TOMEBA, Fig. 4 and paragraph 85 teach β is a power normalization term which makes an average transmit power of the transmission signal vector s fixed..), a modulo threshold (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2..), and quantization parameters (TOMEBA, Fig. 4 and paragraph 92 teach the base station apparatus 1 has a configuration to transmit different control information by a different channel in order to notify the terminal apparatus 2 of a modulation method, a coding rate, and the like, information associated with the covariance matrix P.sub.x may be notified as a part of the control information.). 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 method taught in SONG and Fujii with the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 13, SONG and Fujii teach all the limitations of parent claim 8. SONG and Fujii do not explicitly teach wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation. However, TOMEBA explicitly teaches wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2. See also paragraph 78.). 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 method taught in SONG and Fujii with wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 14, SONG and Fujii the BS of claim 8, wherein the vector perturbation schemes and parameters in one of a physical downlink shared channel (PDSCH) or a downlink control information (DCI) (SONG, Figs. 2, 5 and paragraph 46 teach a gNB may construct a PDSCH transmission including two linearly precoded DMRS (e.g., DMRS1, DMRS2) and may perform both linear precoding & non-linear interference pre-subtraction of the data, followed by the modular operation.). SONG and Fujii do not explicitly teach the vector perturbation schemes and parameters include a power normalization parameter γ. However, TOMEBA explicitly teaches the vector perturbation schemes and parameters include a power normalization parameter γ (TOMEBA, Fig. 4 and paragraph 85 teach β is a power normalization term which makes an average transmit power of the transmission signal vector s fixed..),. 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 method taught in SONG and Fujii with the vector perturbation schemes and parameters include a power normalization parameter γ taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 17, SONG and Fujii teach all the limitations of parent claim 15. SONG and Fujii do not explicitly teach the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters. However, TOMEBA explicitly teaches the parameters related to vector perturbation precoding include a power normalization factor (TOMEBA, Fig. 4 and paragraph 85 teach β is a power normalization term which makes an average transmit power of the transmission signal vector s fixed..), a modulo threshold (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2..), and quantization parameters (TOMEBA, Fig. 4 and paragraph 92 teach the base station apparatus 1 has a configuration to transmit different control information by a different channel in order to notify the terminal apparatus 2 of a modulation method, a coding rate, and the like, information associated with the covariance matrix P.sub.x may be notified as a part of the control information.). 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 method taught in SONG and Fujii with the parameters related to vector perturbation precoding include a power normalization factor, a modulo threshold, and quantization parameters taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. For claim 20, SONG and Fujii teach all the limitations of parent claim 15. SONG and Fujii do not explicitly teach wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation. However, TOMEBA explicitly teaches wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation (TOMEBA, Fig. 4 and paragraph 79 teach a value of the modulo width may be configured to any value as long as being shared between the base station apparatus 1 and the terminal apparatus 2. See also paragraph 78.). 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 method taught in SONG and Fujii with wherein the vector perturbation schemes and parameters include one of a modulo threshold parameter τ selected based on modulation order and code rate for the UE, for integer-based vector perturbation, or one of quantization parameters selected based on modulation order and code rates for the UE, for non-integer based vector perturbation taught in TOMEBA in order to contribute to improvement in transmission quality [TOMEBA: paragraph 14]. Conclusion 10. Any inquiry concerning this communication or earlier communications from the examiner should be directed to WILL W LIN whose telephone number is (571)272-8749. The examiner can normally be reached M-F 8:00-5:00. 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, Charles Jiang can be reached at 571-270-7191. 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. /WILL W LIN/ Primary Examiner, Art Unit 2412
Read full office action

Prosecution Timeline

Mar 26, 2024
Application Filed
Mar 24, 2025
Response after Non-Final Action
Jul 28, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12689108
MULTIPLEXER, AND SPECTRUM ANALYZER, SIGNAL ANALYZER, AND SIGNAL GENERATION DEVICE USING SAME, AND MULTIPLEXER CONTROL METHOD
2y 3m to grant Granted Jul 21, 2026
Patent 12672199
METHOD AND DEVICE IN NODES USED FOR WIRELESS COMMUNICATION
2y 10m to grant Granted Jun 30, 2026
Patent 12672187
FAST ACTIVATION OF A SECONDARY CELL GROUP
2y 11m to grant Granted Jun 30, 2026
Patent 12659258
PROCESSING DATA CONNECTION REQUESTS FROM EDGE DEVICES
3y 8m to grant Granted Jun 16, 2026
Patent 12660037
METHODS, ARCHITECTURES, APPARATUSES AND SYSTEMS FOR PERFORMING DISCONTINUOUS RECEPTION ON SIDELINK
2y 9m to grant Granted Jun 16, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
93%
Grant Probability
99%
With Interview (+6.0%)
2y 1m (~0m remaining)
Median Time to Grant
Low
PTA Risk
Based on 502 resolved cases by this examiner. Grant probability derived from career allowance 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