PATENT CLAIM ANALYSIS

Application Number: 15780588
Application Type: Utility
Filing Date: 2018-05
Publication Date: 2018-12
Patent Classification: ["370", "329000"]

Abstract:
Example methods and apparatus to generate recommendation(s) for access point association by a client device are disclosed. An example method includes calculating an effective uplink data rate for the client with respect to a first access point based on a) an uplink data rate and b) a percentage of uplink airtime available to the client. The example method includes calculating a first effective downlink data rate with respect to the first access point based on a) a downlink data rate for and b) a percentage of downlink airtime available to the client. The example method includes computing a first metric for the first access point based on the first effective uplink data rate, the first effective downlink data rate, and a noise floor scaling factor. The example method includes generating an access point recommendation by comparing the first metric and a second metric for a second access point.

Claim (Index 6):
The method of  claim 1 , wherein the first effective uplink data rate is calculated as follows: VCH U = UD C \ue89e / \ue89e UDR C \u2211 i = 1 n \ue89e UD i UDR i * UDR C , wherein VCH U  represents the first effective uplink data rate as a first uplink component of the first metric, UD c  represents uplink data sent by the client device, UDR c  represents an uplink data rate of the client device, UD i  represents uplink data sent by another device connected to the first access point, and UDR i  represents an uplink data rate of another device connected to the first access point.

Metadata:
- Claim Count in Document: 2.0
- Percentile: 93.0
- Lexical Diversity: 3.0
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['14553982', '14624546', '14186690', '14699209', '11322749']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5280110752932047
- 35 USC 102 Novelty (BERT): 0.4914627601056677
- Combined Prediction Score: 0.524356243774451
- Mean Citation Score: 138.525898
- Max Citation Score: 139.32185
- Similarity Product: 82.28160976745487

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

Dataset: test