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 13):
A resource scheduling method, comprising:\n generating, by a communication apparatus in a WLAN, resource scheduling information for a frequency domain resource, the resource scheduling information indicating information related to the number of stations scheduled on each resource unit (RU) and an identifier of each scheduled station, an allocation of one or more RUs for the frequency domain resource, the allocation comprising:\n size of each RU, the size indicating a quantity of subcarriers included in an allocated RU; and \n location of each RU, the location indicating where the corresponding quantity of subcarriers are located within a bandwidth of the frequency domain resource; and sending, by the communication apparatus, the resource scheduling information.

Metadata:
- Claim Count in Document: 10.0
- Percentile: 99.0
- Lexical Diversity: 1.91304
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['15843300', '15795584', '16356040', '15201275', '16362603']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5250544468188744
- 35 USC 102 Novelty (BERT): 0.5482491716706497
- Combined Prediction Score: 0.5273739193040519
- Mean Citation Score: 296.138072
- Max Citation Score: 407.3673
- Similarity Product: 302.93741356165407

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

Dataset: test