PATENT CLAIM ANALYSIS

Application Number: 16148260
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-01
Patent Classification: ["455", "453000"]

Abstract:
Detection of an unbalanced network load and redistribution of network traffic to balance the network load is provided herein. Load balancing across different radios in the same sector of a cell site can be facilitated through detection of the unbalance network load and changes to one or more parameters can be made to rebalance the network load. After radios within a sector are more evenly balanced, network load balancing across sectors can be facilitated. The balancing can be performed to improve system performance, reduce a dropped call rate, as well as to achieve other benefits that can provide an improved user experience as compared to systems that do not attempt to balance the network load.

Claim (Index 16):
A machine-readable storage medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, comprising:\n based on a result of analyzing a distribution of a resource between a first radio and a second radio of radios within a sector, determining that the first radio comprises a higher distribution of the resource than the second radio; and in response to a determination that the resource is distributed unevenly according to a distribution criterion, changing a first parameter between the first radio and the second radio to level a traffic load substantially between the first radio and the second radio, wherein the changing comprises balancing the resource among the first radio and the second radio according to a defined increment until the resource has been determined to reduce anticipated wireless network traffic.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 97.0
- Lexical Diversity: 1.71831
- Patent Class: 455.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15955191', '13691495', '15014503', '15819128', '13537690']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.6970883684862597
- 35 USC 102 Novelty (BERT): 0.4773338458494233
- Combined Prediction Score: 0.6751129162225761
- Mean Citation Score: 214.84139600000003
- Max Citation Score: 247.76677
- Similarity Product: 230.04345560276985

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test