PATENT CLAIM ANALYSIS

Application Number: 15932232
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2019-08
Patent Classification: ["714", "752000"]

Abstract:
Various embodiments provide for encoding and decoding data channel information with polar codes where the frozen bits of the information block can be set to a scrambling identifier based on the device ID, cell ID, or some other unique identifier instead of being set to null. The frozen bits can be identified based on the type of polar code being used, and while the non-frozen bits can be coded with the data link data, the frozen bits can be coded with the scrambling identifier. In an example where there are more frozen bits than bits in the scrambling identifier, the most reliable of the frozen bits can be coded with the scrambling identifier. In another example, the frozen bits can be set to the CRC bits, which can then be masked by the scrambling identifier.

Claim (Index 11):
A method, comprising:\n transmitting, by a device comprising a processor, a scrambling identification number to a receiver via radio resource control channel signaling; determining, by the device, respective reliabilities of bit locations in a data channel information block, the determining the respective reliabilities being based on a type of a polar forward error correction code; coding, with data traffic data and by the device, a first group of the bit locations determined to have first reliabilities of the respective reliabilities above a first reliability threshold; and coding, with the scrambling identification number and by the device, a second group of bit locations determined to have second reliabilities of the respective reliabilities below a second reliability value.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 88.0
- Lexical Diversity: 2.24615
- Patent Class: 714.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15402106', '15400512', '15863978', '15852537', '15852632']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.261767666584844
- 35 USC 102 Novelty (BERT): 0.5146422828862378
- Combined Prediction Score: 0.2870551282149834
- Mean Citation Score: 230.699364
- Max Citation Score: 315.77872
- Similarity Product: 263.448966623478

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