PATENT CLAIM ANALYSIS

Application Number: 15940414
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-10
Patent Classification: ["370", "334000"]

Abstract:
The present disclosure relates to a method and system for performing Handover (HO) in a Long-Range Land-To-Sea (LRLS) wireless network. The Customer-Premises Equipment (CPE) comprises an Antenna Array (AA). The HO management system scans one or more inactive AAs of CPE based on configuration parameters. Further, one of Signal to Noise Ratio (SNR) and Modulation and Coding Scheme (MCS) throughput values are retrieved on uplink and downlink. Thereafter, one of SNR and MCS throughput values on uplink and downlink are processed for determining a target AA. Further, system performs inter-network HO to Very Small Aperture Terminal (VSAT) network when cell edge is detected on target AA or inter-AA HO to target AA otherwise. Lastly, a network re-entry is initiated to target AA from the VSAT when network re-entry is detected on target AA based on processing one of the SNR or the MCS throughput values in uplink and downlink.

Claim (Index 25):
A Handover (HO) management system of a Customer Premise Equipment (CPE) for performing HO in a Long-Range Land-To-Sea (LRLS) wireless network, the HO management system comprising:\n a processor; and a memory, communicatively coupled with the processor, storing processor executable instructions, which, on execution causes the processor to:\n retrieve, one of SNR values or MCS throughput values on uplink and downlink corresponding to a target Antenna Array (AA) based on data traffic between a Customer Premise Equipment (CPE) and a Base Transceiver Station (BTS); \n storing the SNR values retrieved on the uplink and the downlink in SNR uplink circular buffers and SNR downlink circular buffers and the MCS throughput values retrieved on the uplink and the downlink in MCS uplink circular buffers and the MCS downlink circular buffers, wherein each of the SNR values are subjected to weighting to obtain corresponding Aggregate Weighted SNR (AWSNR) values; \n identify, one of:\n AWSNR values less than a AWSNR data-path disable threshold value on the SNR uplink circular buffers and the SNR downlink circular buffers wherein the AWSNR data-path disable threshold value is the value of AWSNR present on the uplink and the downlink which could sustain Service Level Agreement (SLA) requirement; or \n the MCS throughput values less than a fourth MCS throughput data-path disable threshold value on the MCS uplink circular buffers and the MCS downlink circular buffers wherein the MCS throughput data-path disable threshold value is the value of MCS throughput in the uplink and downlink required to sustain the SLA; \n determine, one of:\n a confidence percentage for the uplink and the downlink based on the identification of the AWSNR values, wherein the confidence percentage is a percentage ratio of number of AWSNR values identified and total number of the AWSNR values in the SNR uplink circular buffers and the SNR downlink circular buffers; or \n a confidence percentage for the uplink and the downlink based on the identification of the MCS throughput values, wherein the confidence percentage is a percentage ratio of number of the MCS throughput values identified and total number of the MCS throughput values in the MCS uplink circular buffers and the MCS downlink circular buffers; or \n \n perform, HO to Very Small Aperture Terminal (VSAT) network from the target AA, when the confidence percentage of one of the uplink and or the downlink determined based on the AWSNR values or the MCS throughput values is greater than one or more threshold value of the confidence percentage for data-path disable.

Metadata:
- Claim Count in Document: 68.0
- Percentile: 90.0
- Lexical Diversity: 2.12195
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15897172', '15899047', '15719838', '10425602', '14872065']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4968041225694882
- 35 USC 102 Novelty (BERT): 0.5413823408283711
- Combined Prediction Score: 0.5012619443953765
- Mean Citation Score: 246.884188
- Max Citation Score: 380.56442
- Similarity Product: 300.3977434926999

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

Dataset: test