# US 12,001,403 B2 · Blockchain cell system

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- Number: US 12,001,403 B2
- Document ID: US12001403B2
- Status: Granted
- Kind: B2
- Application number: 17/702,749
- Filed: 2022-03-23
- Published: 2022-08-11
- Granted: 2024-06-04
- Earliest claimed: 2019-05-17
- Applicants: Bao Tran
- Inventors: Bao Tran
- Web page: https://patentgrep.com/patent/US12001403B2

## CPC

- G06F 16/1824: {implemented using Network-attached Storage [NAS] architecture (distributed or networked storage systems G06F3/067; protocols for distributed storage of data in a network H04L67/1097)}
- H04B 7/0617: {for beam forming}
- G06N 3/02: Neural networks
- G06N 20/00: Machine learning
- G06Q 20/02: involving a neutral party, e.g. certification authority, notary or trusted third party [TTP]
- G06Q 20/3829: {involving key management}
- H04B 7/0413: MIMO systems
- H04B 7/0686: {Hybrid systems, i.e. switching and simultaneous transmission}
- H04W 16/28: using beam steering
- H04W 64/00: Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management
- B64U 10/30: Lighter-than-air aircraft, e.g. aerostatic aircraft
- B64U 2101/10: for generating power to be supplied to a remote station, e.g. UAVs with solar panels
- B64U 2101/20: for use as communications relays, e.g. high-altitude platforms
- B64U 2201/102: adapted for flying in formations
- G06Q 2220/00: Business processing using cryptography
- H04W 64/003: {locating network equipment}
- G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N)
- H04B: TRANSMISSION
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)
- B64U: UNMANNED AERIAL VEHICLES [UAV]; EQUIPMENT THEREFOR

## Abstract

A system includes a distributed ledger storing one or more smart contracts; one or more 5G small cells, each having one or more antennas mounted on a housing, each small cell sending packets of data trackable with the distributed ledger; and a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.

## Claims

### Claim 1

A system, comprising:
a distributed ledger storing one or more smart contracts;
one or more 5G small cells, each having one or more antennas mounted on a housing, each small cell sending packets of data trackable with the distributed ledger, wherein at least one of the 5G small cells earns fees by providing communication with mobile devices, wherein the small cell is associated with a public key in the distributed ledger and provides data transport and Proof-of-Location services; and
a processor to control a directionality of the antennas in communication with a predetermined target using 5G protocols.

### Claim 2 (depends on 1)

The system of claim 1, wherein the processor calibrates a radio link between a transceiver in the housing and a client device.

### Claim 3 (depends on 1)

The system of claim 1, wherein the processor is coupled to fiber optics cable to communicate with a cloud-based radio access network (RAN) or a remote RAN.

### Claim 4 (depends on 1)

The system of claim 1, wherein the processor calibrates a connection by analyzing RSSI and TSSI and moves the antennas until predetermined cellular parameters are reached.

### Claim 5 (depends on 1)

The system of claim 1, comprising a smart contract provided by the predetermined target to access the 5G small cell.

### Claim 6 (depends on 5)

The system of claim 5, wherein the smart contract specifies predetermined rules and tokens to pay the small cell in exchange for network access.

### Claim 7 (depends on 1)

The system of claim 1, wherein the processor moves actuators coupled to the antennas.

### Claim 8 (depends on 1)

The system of claim 1, wherein the distributed ledger stores location data of the small cell and the predetermined target obtains the location of the small cell.

### Claim 9 (depends on 1)

The system of claim 1, comprising one or more Fresnel lenses to improve SNR.

### Claim 10 (depends on 1)

The system of claim 1, wherein processor focuses 5G signals to the target with iterative changes in orientations of the antennas by changing a curvature or a shape of the surface to meet predetermined criteria.

### Claim 11 (depends on 1)

The system of claim 1, comprising a neural network coupled to a control plane, a management plane, and a data plane to optimize 5G parameters.

### Claim 12 (depends on 1)

The system of claim 1, comprising one or more cameras and sensors in the housing to capture security information.

### Claim 13 (depends on 1)

The system of claim 1, wherein the housing is a drop in replacement for an existing housing to upgrade existing lights and add 5G or 6G active antennas.

### Claim 14 (depends on 1)

The system of claim 1, comprising a camera and a processor for individual identification stored on the blockchain.

### Claim 15 (depends on 1)

The system of claim 1, wherein the processor analyzes walking gaits and facial features for identity identification.

### Claim 16 (depends on 1)

The system of claim 1, wherein the processor analyzes sound captured using a microphone to determine events in progress.

### Claim 17 (depends on 1)

The system of claim 1, comprising an edge learning machine in the housing to provide local edge processing for Internet-of-Things (IOT) sensors with reduced off-chip memory access.

### Claim 18 (depends on 1)

The system of claim 1, wherein the edge learning machine uses pre-trained models and modifies the pre-trained models for a selected task.

### Claim 19 (depends on 1)

The system of claim 1, comprising a smart contract for the predetermined target to access a learning machine.

### Claim 20 (depends on 1)

The system of claim 1, comprising a cloud trained neural network whose network parameters are down-sampled and filter count reduced before transferring to the edge neural network.
