DETAILED ACTION
Status of Case
The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA .
This Office Action is in response to the claims filed on 8/6/2024.
Claims 29-48 are pending, with claims 1-28 being cancelled.
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 29-48 are rejected under 35 U.S.C. 112(b) or 35 U.S.C. 112 (pre-AIA ), second paragraph, as being indefinite for failing to particularly point out and distinctly claim the subject matter which the inventor or a joint inventor, or for pre-AIA the applicant regards as the invention.
Claims 29, 36, and 43 each recite “…when a quantization and dequantization rule is not received from the network…” However, it is unclear whether this limitation means that there is a separate quantization rule and a separate dequantization rule, or whether there is one collective quantization and dequantization rule. If the former meaning is intended, the claim should clearly identify this as two separate rules but if the latter meaning is intended, the claim could highlight this by reciting, for example, “a single quantization and dequantization rule” or “a collective quantization and dequantization rule.”
Claims 30-35 are rejected by virtue of being dependent on claim 29, claims 37-42 are rejected by virtue of being dependent on claim 36, and claims 44-48 are rejected by virtue of being dependent on claim 43.
Allowable Subject Matter
Claims 29-48 are allowed, subject to correction of the noted 112 rejections.
The closest prior art consists of Rahman (USPAN 2016/0142117).
Rahman, in paragraph 4, discloses that In a wireless communication system having an antenna array selectively configured to transmit channel state information reference signals (CSI-RS) using a plurality of antenna ports using basis beam vectors selected from a master beam set or retrieved from memory, a codebook enables selection of a linear combination of at least a subset of the beams using the basis beam vectors, as well as co-phases and coefficients for each selected beam, where the co-phases determine the co-phasing weights for each of the selected beams in case of a cross-polarized antenna array, and the coefficients determine the linear combination of the selected beams according to the basis beam vectors. Feedback contains an indication of channel state information (CSI) for the set of selected or retrieved basis beam vectors, the selected beams, co-phases, and coefficients. The CSI includes at least pre-coding matrix information (PMI) corresponding to a pre-coding vector based on a set of the basis beam vectors for the selected beams, a corresponding set of co-phases, and a corresponding set of the coefficients. The selected basis beam vectors may correspond to wideband (WB) measurements for the CSI, while the selected beams, the co-phases and coefficients may correspond to subband (SB) measurements. Bits for the feedback based upon at least one of the co-phases and the coefficients may be selected from double structure co-phase and coefficient codebooks each having a WB component and an SB component. When dynamic selection of the beams is configured, the CSI may correspond to one of the same number of the selected L beams from the basis beam vectors for all of the subbands (SB) or any number of the selected L beams from the basis beam vectors for any of the subbands. The selected beams may correspond to a restricted search over all or some of the master set of beams, the co-phase codebook, and the coefficient codebook. The basis beam vectors, the selected L beams, the co-phases, and the coefficients may be jointly selected or at least one of the selected L beams, the co-phases or the coefficients may be selected separately from selection of the basis beam vectors. At least one of the co-phases or the coefficients may be selected by first obtaining unquantized or analog co-phases and coefficients, quantizing or mapping the obtained, unquantized or analog co-phases and coefficients using a subset of codebooks for the co-phases and coefficients. The subset of codebooks for the co-phases and coefficients may comprise boundary points of a Euclidean partition in which the unquantized or analog co-phases and coefficients belong.
However, Rahman does not disclose, suggest, or render obvious the limitations of the instant claims reciting receive the following from a network: a training dataset comprising an input to a hypothetical artificial intelligence encoder, an unquantized projected channel state information feedback, and dequantized projected channel state information feedback, wherein the input to the hypothetical artificial intelligence encoder comprises: channel information, a channel matrix, a channel eigenvector, and a precoding matrix in a spatial-frequency domain, wherein the unquantized projected channel state information feedback comprises a latent vector, wherein the unquantized projected channel state information feedback has finer granularity than the dequantized projected channel state information feedback; receive, from the network, the dequantized projected channel state information feedback within the training dataset, when a quantization and dequantization rule is not received from the network, or when a codebook and mapping scheme is not received from the network; based on the unquantized projected channel state information feedback and the dequantized projected channel state information feedback, learn a quantizer and generate a codebook, wherein the learning of the quantizer and the generating of the codebook is performed when the unquantized projected channel state information feedback and the dequantized projected channel state information feedback are in a same dataset; train an artificial intelligence encoder using a loss function, wherein input arguments to the loss function comprise the unquantized projected channel state information feedback from the received training dataset and unquantized channel state information feedback taken at an output of the artificial intelligence encoder; and encode channel state information, using the trained artificial intelligence encoder, as recited in the instant claims.
As such, the instant claims are allowed over the closest prior art reference of Rahman.
Conclusion
Any inquiry concerning this communication or earlier communications from the examiner should be directed to Jamal Javaid whose telephone number is 571-270-5137 and email address is Jamal.Javaid@uspto.gov.
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/JAMAL JAVAID/
Primary Examiner, Art Unit 2412
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