PATENT CLAIM ANALYSIS

Application Number: 16421586
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2020-02
Patent Classification: ["375", "262000"]

Abstract:
Precoding coefficients can be compressed based on user equipment signal interference to noise ratio or path loss in front haul cloud radio access network systems. For example, a baseband unit can compute a precoder matrix from an estimated channel associated with an uplink signal. Once the baseband unit computes the channel, it can determine the coefficients for the linear combination of the basis vectors, which are known at the baseband unit and the radio unit as well. The baseband unit can estimate the path loss and the signal interference to noise ratio and determine the basis vectors. The baseband unit can then compress the coefficients and transmit the coefficients to the radio unit. When the radio unit receives the compressed coefficients, the radio unit can reconstruct the precoder matrix and apply to reference signals and data traffic channels.

Claim (Index 15):
A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:\n generating a precoder matrix that is equal to a unit vector; using the precoder matrix, determining a channel coefficient associated with a linear combination of a basis vector; in response to the determining, mapping a port of a channel state data reference signal to a co-polarized element of the precoder matrix; and based on an estimated signal attribute associated with an uplink reference signal, compressing the channel coefficient, resulting in a compressed channel coefficient for a channel state data transmission.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 100.0
- Lexical Diversity: 2.0
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['16059680', '16059642', '16369611', '16058667', '15624407']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.43083065360473
- 35 USC 102 Novelty (BERT): 0.5189655562061252
- Combined Prediction Score: 0.4396441438648695
- Mean Citation Score: 224.42818
- Max Citation Score: 323.0888700000001
- Similarity Product: 297.13271001846334

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

Dataset: test