PATENT CLAIM ANALYSIS

Application Number: 16428457
Application Type: Utility
Filing Date: 2019-05
Publication Date: 2019-09
Patent Classification: ["370", "329000"]

Abstract:
Embodiments provide resource scheduling methods and apparatus that reduce transmission resource overhead in resource scheduling. The method can be applied to a wireless local area network, where a next generation protocol followed by the wireless local area network predefines locations of resource units potentially allocated from a to-be-assigned frequency domain resource. The method includes: generating, by a sending end, resource scheduling information, where the resource scheduling information includes a bit sequence to indicate an actual allocation of a resource unit(s) from the to-be-assigned frequency domain resource, and at least some bits in the bit sequence to indicate whether one or more of the resource unit locations potentially allocated for the to-be-assigned frequency domain resource are the actually allocated resource units.

Claim (Index 11):
The method according to the  claim 10 , the RU with a size greater than 242 subcarriers comprising 484-RU or 996-RU;\n the first bit sequence indicating the allocation of the 242 RU, the 484 RU and the 996 RU respectively corresponding to the following entries: Different Bits RU in the allocation indicated by the first included in the first bit sequence; n is a natural number 1 to 8, bit sequence indicted by the second bit sequence 00 242 (n) 01 484 (n) 10 996 (n)

Metadata:
- Claim Count in Document: 26.0
- Percentile: 100.0
- Lexical Diversity: 1.91304
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['16365041', '15843300', '15795584', '16356040', '12213012']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5677175280261437
- 35 USC 102 Novelty (BERT): 0.5334989569158655
- Combined Prediction Score: 0.5642956709151159
- Mean Citation Score: 293.81499
- Max Citation Score: 377.31107
- Similarity Product: 242.35558487531185

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