PATENT CLAIM ANALYSIS

Application Number: 16001212
Application Type: Utility
Filing Date: 2018-06
Publication Date: 2019-12
Patent Classification: ["370", "254000"]

Abstract:
Techniques for a seamless wireless local area network upgrade using dynamic coverage estimations are described. In one embodiment, a method includes determining, at a network controller of a wireless local area network (WLAN) comprising a plurality of wireless access points, a first set of wireless access points that provide redundant wireless connectivity to client devices. The method also includes determining, at the network controller, a second set of wireless access points among a remaining group of wireless access points excluding the first set of wireless access points that provide redundant wireless connectivity to client devices. The method includes performing a first upgrade of software associated with each wireless access point in the first set of wireless access points. Upon completion of the first upgrade, the method includes performing a second upgrade of software associated with each wireless access point in the second set of wireless access points.

Claim (Index 4):
The method of  claim 1 , further comprising:\n prior to determining the first set of wireless access points, determining one or more wireless access points of the plurality of access points in the WLAN that are not providing wireless connectivity to any client devices within the WLAN.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 94.0
- Lexical Diversity: 2.71186
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12358049', '11608114', '13332790', '15919030', '13191778']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5629589299377149
- 35 USC 102 Novelty (BERT): 0.4788333613091397
- Combined Prediction Score: 0.5545463730748574
- Mean Citation Score: 169.61867800000005
- Max Citation Score: 179.58385
- Similarity Product: 124.87301840919255

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