PATENT CLAIM ANALYSIS

Application Number: 15910912
Application Type: Utility
Filing Date: 2018-03
Publication Date: 2019-09
Patent Classification: ["370", "252000"]

Abstract:
Various embodiments disclosed herein provide for optimizing identification of a beam in a massive multiple-input multiple output (MIMO) system. The receiver device can select a beam to use for a transmission, and generate channel state information based on a selection of either a single stage beam selection process or a two stage beam selection process. According to an embodiment of the disclosure, the receiver can select which beam selection process to use based on the context of the receiver device. The receiver can select which beam selection process to use based on the long term signal to noise ratio, or the correlation metrics associated with the receiver and transmitter, or based on the path loss between the transmitter and receiver, or based on the location of the receiver relative to the transmitter.

Claim (Index 18):
A machine-readable storage medium, comprising executable instructions that, when executed by a processor of a network device, facilitate performance of operations, comprising:\n receiving an indication from a user equipment device about a signal strength of a reference signal received by the user equipment device from the network device; in response to the signal strength being below a defined threshold, selecting a beam according to a two stage beam selection protocol, and in response to the signal strength being above the defined threshold, selecting the beam according to a single stage beam selection protocol; and transmitting an indication of a selected beam selection protocol to the user equipment device.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 90.0
- Lexical Diversity: 2.16667
- Patent Class: 370.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15632837', '15699662', '15706066', '15376377', '15343152']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.526362825561427
- 35 USC 102 Novelty (BERT): 0.4504406906151943
- Combined Prediction Score: 0.5187706120668037
- Mean Citation Score: 151.05174
- Max Citation Score: 163.46458
- Similarity Product: 139.84716065585852

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