PATENT CLAIM ANALYSIS

Application Number: 16239372
Application Type: Utility
Filing Date: 2019-01
Publication Date: 2019-12
Patent Classification: ["375", "285000"]

Abstract:
A system and method for increasing the capacity of a Multiple-Input Multiple-Output (MIMO) system at desired user's locations and reducing the capacity at locations, other than that of the desired user, while also providing secrecy. Knowing the channel coefficient between each transmitter and receiver antenna pair at the transmitter, the method of the present invention calculates the artificial signal that minimizes the Euclidean distance between the desired and received data symbols if the precoding/combining matrix pair from the set that has the minimum Euclidean distance to the singular value decomposition (SVD) of the channel matrix is used for transmission and reception. The artificial signal may be fed to the precoder, instead of the actual desired data symbols, or may be transmitted directly to reduce computational complexity, power consumption and processing delay if the hardware configuration allows.

Claim (Index 19):
The non-transitory computer-readable media of  claim 18 , wherein the estimated channel coefficient of the transmission channel is a matrix comprising an estimated channel coefficient between each transmitter and receiver antenna pair at the MIMO transmitter.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 99.0
- Lexical Diversity: 1.74419
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['12109611', '11687441', '11537902', '12470249', '15592535']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.4485087567726317
- 35 USC 102 Novelty (BERT): 0.5124198399546499
- Combined Prediction Score: 0.4548998650908336
- Mean Citation Score: 253.818134
- Max Citation Score: 257.45764
- Similarity Product: 168.59974335812333

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