PATENT CLAIM ANALYSIS

Application Number: 16090330
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-04
Patent Classification: ["725", "062000"]

Abstract:
It is presented a method for checking capacity for a multimedia session. The method comprises the steps of: receiving a capacity request for a multimedia session, the capacity request comprising a desired bandwidth, a requested Quality of Service Class Identifier, QCI, a requested time window and a desired location in terms of at least one service area, each service area being served by a plurality of radio base stations; checking whether there is sufficient capacity in each service area for the desired bandwidth and desired QCI during the desired time window of the request by reading available 0 capacity in an aggregated capacity database, the aggregated capacity database comprising available bandwidth capacity on a service area level and by reading available radio capacity on a radio resource level in a resource capacity database; and sending a response based on whether there is sufficient capacity or not.

Claim (Index 28):
The method of  claim 27 , wherein the reserving capacity comprises reserving capacity for the multimedia session of the capacity request without multiplexing the multimedia session with other multimedia sessions when the capacity request comprises an indicator not to multiplex.

Metadata:
- Claim Count in Document: 56.0
- Percentile: 97.0
- Lexical Diversity: 2.34328
- Patent Class: 725.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: True
- Related Applications: ['13389719', '14430415', '15514027', '11246285', '15184138']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4608934703719519
- 35 USC 102 Novelty (BERT): 0.500132010957354
- Combined Prediction Score: 0.4648173244304922
- Mean Citation Score: 190.292354
- Max Citation Score: 198.60178
- Similarity Product: 122.77989457989216

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