PATENT CLAIM ANALYSIS

Application Number: 15928479
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2018-10
Patent Classification: ["370", "338000"]

Abstract:
Systems and methods of expanding indication capabilities of existent PPDU preamble fields. An existing field “Doppler mode” in a preamble is redefined into a dual-use field for indicating channel variation for a short packet as well as for indicating presence of mid-amble(s) in a long packet. Particularly, for a long packet (longer than a predefined data transmission time or a longer than a predefined number of data symbols), the two possible values of the one-bit “Doppler mode” field indicate whether there is any mid-amble carrying training symbols in the payload. On the other hand, for a short packet, the two possible values in the same field indicate whether the channel for transmitting the instant packet is currently time-variant as determined by the transmitting device.

Claim (Index 7):
The method of  claim 6 , wherein said resolving further comprises, based on said determination that said data length of said first packet is shorter than said first limit and based on a detection that said first field has a first value, automatically determining that said wireless channel is time-variant and that said first packet comprises no Doppler mode mid-amble in said payload.

Metadata:
- Claim Count in Document: 40.0
- Percentile: 90.0
- Lexical Diversity: 1.93151
- Patent Class: 370.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15816560', '15816468', '15146995', '15342299', '15270318']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.5922609879270175
- 35 USC 102 Novelty (BERT): 0.5132719838500852
- Combined Prediction Score: 0.5843620875193244
- Mean Citation Score: 217.440024
- Max Citation Score: 275.1467
- Similarity Product: 172.29809913072586

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