PATENT CLAIM ANALYSIS

Application Number: 15957657
Application Type: Utility
Filing Date: 2018-04
Publication Date: 2019-10
Patent Classification: ["708", "446000"]

Abstract:
The present disclosure relates to methods and systems for signal processing using coordinate descent technique for solving technical implementation problems that are expressed as unit-modulus least squares (UMLS) and unit-modulus quadratic program (UMQP) problems. Embodiments provide for iteratively minimizing an objective function of a signal vector associated with a UMLS/UMQP problem expression over a set of coordinates of the signal vector to a convergence point. The objective function is minimized with respect to a vector element corresponding to a selected coordinate index, while other vector elements that do not correspond to the selected coordinate index are fixed. Accordingly, at each iteration, minimizing the objective function involves a solution to a one-dimensional univariate quadratic minimization. Embodiments also provide various coordinate index selection rules that include a cyclic CD rule (CCD), a randomized CD rule (RCD), randomly permuted CD rule (RPCD), and a greedy CD rule (CCD).

Claim (Index 20):
An apparatus for wireless communication in a multiple-input multiple-output (MIMO) wireless communications network, the apparatus comprising:\n a memory; and at least one processor coupled to the memory, the at least one processor configured to:\n receive, by at least one receiving module of a plurality of receiving modules, a plurality of signals via a MIMO channel, each signal of the plurality of signals including transmission symbols, each signal associated with a coordinate value corresponding to a respective transmission source path, wherein each signal is used to construct a signal vector, wherein each vector element of the signal vector corresponds to a particular signal associated with a particular transmission source path; and \n detect the transmission symbols at each of the plurality of receiving modules, wherein the detection of the transmission symbols comprises iteratively minimizing a function of the signal vector over the coordinate values associated with the plurality of signals to a convergence point, wherein the iteratively minimizing includes:\n selecting, at a current iteration, a coordinate index corresponding to a coordinate associated with the signal received via a particular transmission source path; \n applying, at the current iteration, minimizing operations to the function of the signal vector with respect to the vector element corresponding to the selected coordinate index, wherein the minimizing operations result in an optimal value for the vector element corresponding to the selected coordinate index with respect to a next iteration, the next iteration being subsequently adjacent to the current iteration, and wherein vector elements corresponding to coordinate indices different than the selected coordinate index are not changed by the minimizing operations in the current iteration; \n updating a residual of the function of the signal vector, with respect to the next iteration, based on the optimal value for the vector element, wherein updating the residual value of the next iteration includes a scalar-vector multiplication operation of the optimal value for the vector element; \n determining whether the function of the signal vector has converged to the convergence point within a predetermined threshold; and \n detecting, when the function of the signal vector has been determined to converge to the convergence point within the predetermined threshold, the symbols in the signals corresponding to the vector elements of the converged signal vector.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 91.0
- Lexical Diversity: 1.80645
- Patent Class: 708.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15344279', '10399848', '14642904', '15952864', '12853886']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.3607955767678348
- 35 USC 102 Novelty (BERT): 0.4998461831239923
- Combined Prediction Score: 0.3747006374034506
- Mean Citation Score: 158.440458
- Max Citation Score: 165.73698000000005
- Similarity Product: 106.50662371796612

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 0
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test