PATENT CLAIM ANALYSIS

Application Number: 15752515
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["370", "329000"]

Abstract:
An embodiment herein discloses a method performed by a Base Station, BS. The BS determines a Hybrid Automatic Repeat Request-Acknowledgement, HARQ-ACK, codebook size for a User Equipment, UE, based on data to be transmitted in a data transmission to the UE. The HARQ-ACK codebook size indicates the number of HARQ-ACK bits that the UE encodes for transmitting Hybrid Automatic Repeat Request, HARQ, feedback for the data transmission to the BS. The BS further transmits an indication of the HARQ-ACK codebook size in a Downlink Assignment Index, DAI, field of a Downlink, DL, assignment to the UE.

Claim (Index 9):
The method according to  claim 8 , wherein the data transmission to the UE is scheduled on a set of carriers comprised in a group of carriers, and wherein the receiving the indication of the HARQ-ACK codebook size comprised in the DAI field of the DL assignment for the UE comprises receiving, for the set of carriers, respective Downlink Control Information, DCI, messages, wherein each DCI message comprises the DAI field and wherein the indication of the HARQ-ACK codebook size received in the DAI field of each DCI message indicates the same first value for the set of carriers.

Metadata:
- Claim Count in Document: 31.0
- Percentile: 88.0
- Lexical Diversity: 1.98214
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['13593044', '14314296', '15761251', '15752560', '14411718']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.629693122428743
- 35 USC 102 Novelty (BERT): 0.539004937250451
- Combined Prediction Score: 0.6206243039109138
- Mean Citation Score: 357.378134
- Max Citation Score: 379.31232
- Similarity Product: 313.74903977416994

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

Dataset: test