PATENT CLAIM ANALYSIS

Application Number: 16226690
Application Type: Utility
Filing Date: 2018-12
Publication Date: 2019-07
Patent Classification: ["370", "329000"]

Abstract:
A method of Hybrid Automatic Repeat Request implementation which efficiently combines received signals from multiple H-ARQ block transmission attempts encoded by the Multi-Level Coding approach with an uncoded subset of information bits. The method is to provide full error correction gains of the H-ARQ scheme and decoder computational complexity reduction due to transmission of uncoded bits and does not cause significant demodulator and signal processing complexity growths. The advantages are achieved via calculation of likelihood ratio metrics and their combining between at least two different data block transmission attempts for both encoded and uncoded bits of a data block. Besides, calculation of likelihood ratio metrics for uncoded bits is performed considering results of decoding of the encoded bits. Receiver decisions on values of uncoded bits are made based on values of combined likelihood ratio metrics for uncoded bits.

Claim (Index 1):
A method of Hybrid Automatic Repeat Request implementation for data transmission with Multi-Level Coding comprising:\n performing the first transmission of a data block containing N signal samples with a part of bits of the data block encoded with a Forward Error Correction code; receiving the first transmission of a data block, performing demodulation and decoding of the encoded part of bits of the received data block; checking the received data block for errors and sending a retransmission request to the transmitter if errors are detected; performing the second transmission of the same data block upon receipt of a retransmission request; receiving the second transmission of the data block, performing demodulation and decoding of the encoded part of bits of the received data block accompanied by combining the information obtained after reception of the first and the second transmissions of the data block; wherein receiving the first transmission of a data block comprises: demodulation of signal samples of the first transmission and calculation of likelihood ratio metrics for the encoded bits; decoding of the encoded bits using the calculated metrics; demodulation of signal samples of the first transmission and calculation of likelihood ratio metrics for the uncoded bits using the results of the decoding of the encoded bits; making decisions on values of the uncoded bits using the calculated likelihood ratio metrics for the uncoded bits; wherein combining the information obtained after reception of the first and the second transmissions of the data block comprises: demodulation of signal samples of the second transmission and calculation of likelihood ratio metrics for the encoded bits; combination of the likelihood ratio metrics calculated for the encoded bits of the first and the second transmissions of the data block; decoding of the encoded bits using the combined likelihood ratio metrics for the encoded bits; demodulation of signal samples of the second transmission and calculation of likelihood ratio metrics for the uncoded bits using the results of the decoding of the encoded bits; combination of the likelihood ratio metrics calculated for the uncoded bits of the first and the second transmissions of the data block; making decisions on values of the uncoded bits using the combined likelihood ratio metrics for the uncoded bits.

Metadata:
- Claim Count in Document: 17.0
- Percentile: 98.0
- Lexical Diversity: 1.65517
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['11597153', '11483078', '12271050', '14931959', '11017157']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5369932650939557
- 35 USC 102 Novelty (BERT): 0.4869224022099085
- Combined Prediction Score: 0.531986178805551
- Mean Citation Score: 203.807098
- Max Citation Score: 210.90271
- Similarity Product: 149.50472716821076

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

Dataset: test