PATENT CLAIM ANALYSIS

Application Number: 16365041
Application Type: Utility
Filing Date: 2019-03
Publication Date: 2019-08
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 14):
The method according to  claim 13 , for which a smallest size of a resource unit that supports MU-MIMO is predefined such that:\n for a first RU in the allocation, which first RU is smaller than the smallest size for MU-MIMO, the number of one or more stations scheduled on the first RU is a default value; for a second RU in the allocation, which second RU is not smaller than the smallest size for MU-MIMO, at least 2 bits are used for indicating the number of the one or more stations scheduled on the second RU.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 99.0
- Lexical Diversity: 1.91304
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['15843300', '15795584', '16356040', '15201275', '16362603']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5554924722231107
- 35 USC 102 Novelty (BERT): 0.5491791313522513
- Combined Prediction Score: 0.5548611381360248
- Mean Citation Score: 296.138072
- Max Citation Score: 407.3673
- Similarity Product: 282.8397523872614

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

Dataset: test