PATENT CLAIM ANALYSIS

Application Number: 15756818
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-11
Patent Classification: ["375", "262000"]

Abstract:
A transmitting radio node ( 10 ) precodes a transmission from a one-dimensional antenna array ( 12 ) to a receiving radio node ( 50 ). The array ( 12 ) includes co-polarized antenna elements ( 14 ) aligned in the array's only spatial dimension. The transmitting radio node ( 10 ) precodes the transmission from each of different subarrays ( 34 a,  34 b ) of the antenna elements ( 14 ) using a coarse-granularity precoder that is factorizable from a multi-granular precoder targeting the given spatial dimension of the array ( 12 ) at different granularities, so as to virtualize the subarrays ( 34 a,  34 b ) as different auxiliary elements ( 38 a,  38 b ). The transmitting radio node ( 10 ) also precode the transmission from the different auxiliary elements ( 38 a,  38 b ) using one or more finer-granularity precoders that are also factorizable from the multi-granular precoder. In this case, the coarse granularity precoders and the one or more finer-granularity precoders are represented within one or more codebooks ( 26 ) used for said precoding.

Claim (Index 16):
The method of  claim 11 , wherein both the first and second reference signals are full elements reference signals transmitted from the antenna elements without precoding and wherein said generating the second type of recommendation comprises generating the second type of recommendation to exclusively recommend a finer-granularity precoder, without also recommending a coarse-granularity precoder.

Metadata:
- Claim Count in Document: 5.0
- Percentile: 90.0
- Lexical Diversity: 2.57895
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14902749', '14895614', '15554243', '13520906', '13520639']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5760100336218782
- 35 USC 102 Novelty (BERT): 0.6291148038262425
- Combined Prediction Score: 0.5813205106423147
- Mean Citation Score: 436.34076200000015
- Max Citation Score: 742.74445
- Similarity Product: 514.5125157422094

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

Dataset: test