PATENT CLAIM ANALYSIS

Application Number: 16163160
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["375", "132000"]

Abstract:
The disclosure provides design of a frequency hopping sequence for an unlicensed IoT system operating in unlicensed spectrum. According to some embodiments, an apparatus for generating a frequency hopping sequence in an unlicensed Internet-of-Things (IoT) system includes baseband circuitry to generate a frequency hopping sequence by conducting a permutation operation based on a physical cell identifier (PCI) and a system frame number (SFN), and to select a channel within an unlicensed spectrum according to the frequency hopping sequence. In some embodiments, the input of the permutation operation is obtained from the SFN or from the SFN and the PCI. In some embodiments, the control of the permutation operation is a function of the PCI and/or the SFN. In some embodiments, the control of the permutation operation is generated using a pseudorandom number generator with the PCI as a seed.

Claim (Index 8):
The apparatus as claimed in  claim 7 , wherein the one or more processors are to generate the frequency hopping sequence \u03a6(xi) with xi expressed by:\n xi ={Perm5(SFN\u2032 10,8,6,4,2, Y )XOR Perm5(SFN\u2032 9,7,5,3,1, Y )} mod|\u03a6|+1; and SFN\u2032=floor[(SFN+eFrame\u00d71024)/8], where eFrame is the least significant 3 bits of a hyperframe index, the notation of X N1,N2,N3,N4,N5  denotes the N1 th , N2 th , N3 th , N4 th  and N5 th  least significant bits of parameter X in binary form, and floor denotes a flooring function.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.31343
- Patent Class: 375.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['12621945', '16043023', '12647394', '15886691', '14902444']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4738505202366909
- 35 USC 102 Novelty (BERT): 0.4942406591823338
- Combined Prediction Score: 0.4758895341312552
- Mean Citation Score: 142.6166
- Max Citation Score: 170.41378999999995
- Similarity Product: 106.04905492756602

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