PATENT CLAIM ANALYSIS

Application Number: 16114710
Application Type: Utility
Filing Date: 2018-08
Publication Date: 2019-02
Patent Classification: ["375", "267000"]

Abstract:
In distributed communication networks, the signal received at the destination is characterized by unknown multiple carrier frequency offsets (MCFOs) and improper channel state information (CSI). The knowledge of offsets and channel gains are required for coherent deployment of distributed systems. Hence, joint training sequence (TS) design method is proposed for joint estimation of MCFOs and channel estimation over spatially correlated channel. Thus, the present invention provides a method of providing joint estimation for distributed communication systems with multiple antennas at the nodes over spatial correlated channels. The designed optimal training sequences are short length and spectrally efficient. The designed training sequence produces zero cross-correlation, facilitating channel estimation without matrix inversion, significantly lowers the complexity of the estimation algorithm.

Claim (Index 1):
A method of generation and utilization of optimal training sequences (TSs) for joint channel and frequency offset estimation in distributed multiple-input multiple-output (DMIMO) orthogonal frequency division multiplexing (OFDM) system over spatially correlated channel in a wireless communication network, wherein said method comprising:\n sending, by a common central unit (CCU), a predefined TSs to plurality of source nodes provided with plurality of antennas; Transmitting, by the source node, said predefined TSs to a corresponding destination node and the destination node sends a measured received signal power (RSSI) to said CCU; Wherein, said CCU is configured to optimize or allocate power budgets for each transmit-receive antenna pair in each source-destination pair link according to said RSSI, and said CCU selects said optimal training sequences (TSs); Wherein said source nodes configured transmit OFDM packets to said destination according to said optimal training sequences (TSs).

Metadata:
- Claim Count in Document: 125.0
- Percentile: 96.0
- Lexical Diversity: 1.70886
- Patent Class: 375.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: True
- Related Applications: ['10109915', '15493675', '11222171', '11524225', '12886028']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.429228695714013
- 35 USC 102 Novelty (BERT): 0.4867050986884793
- Combined Prediction Score: 0.4349763360114596
- Mean Citation Score: 192.251878
- Max Citation Score: 207.28899
- Similarity Product: 160.2596193648398

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