PATENT CLAIM ANALYSIS

Application Number: 16088004
Application Type: Utility
Filing Date: 2018-09
Publication Date: 2019-04
Patent Classification: ["455", "452100"]

Abstract:
The invention relates to an improved radio resource allocation performed by a vehicular mobile terminal. The vehicular mobile terminal determines whether to determine radio resources based on the location of the vehicular mobile terminal or not, based on information received from an entity of the communication system. In case the radio resources are to be selected based on the location of the vehicular mobile terminal, the vehicular mobile terminal determines the location of the vehicular mobile terminal, and determines radio resources for communication with at least the second mobile terminal, based on the determined location of the vehicular mobile terminal.

Claim (Index 6):
The vehicular mobile terminal according to  claim 5 , wherein the vehicular mobile terminal is configured with a plurality of radio resource pools, each of which is associated with a different location in which the vehicular mobile terminal can be located, wherein the configuration of the radio resource pools is transmitted to the vehicular mobile terminal as system information or within a message dedicated to the vehicular mobile terminal,\n wherein the plurality of radio resource pools are configured in the vehicular mobile terminal either by providing explicit information on the radio resource pools and the respective radio resources in each radio resource pool or based on rules defining how radio resources are divided into the plurality of radio resource pools.

Metadata:
- Claim Count in Document: 20.0
- Percentile: 97.0
- Lexical Diversity: 2.32609
- Patent Class: 455.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['16091668', '15512828', '15603307', '15477299', '15735645']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7408305536129578
- 35 USC 102 Novelty (BERT): 0.511496819629655
- Combined Prediction Score: 0.7178971802146276
- Mean Citation Score: 247.544524
- Max Citation Score: 252.8588
- Similarity Product: 151.74322869892117

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