# US 2020/0288296 A1 · Method for end-to-end (e2e) user equipment (ue) trajectory network automation based on future ue location

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- Number: US 2020/0288296 A1
- Document ID: US20200288296A1
- Status: Published application
- Kind: A1
- Application number: 16/297,423
- Filed: 2019-03-08
- Published: 2020-09-10
- Earliest claimed: 2019-03-08
- Assignees: Telefonaktiebolaget LM Ericsson (publ)
- Applicants: Telefonaktiebolaget LM Ericsson (publ)
- Inventors: Virgilio Fiorese; Saulo Almeida Montenegro de Sa; Rakesh Bajpai; Vinicius Samuel Landi Fiorese; Tushar Sabharwal; Nipun Sharma; Rohit Shukla
- Web page: https://patentgrep.com/patent/US20200288296A1

## CPC

- H04L 41/0895: Configuration of virtualised networks or elements, e.g. virtualised network function or OpenFlow elements
- G06N 5/046: Forward inferencing; Production systems
- H04L 41/0823: characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability (for optimising operational conditions of wireless networks H04W24/02)
- H04L 41/147: for predicting network behaviour
- H04L 41/40: using virtualisation of network functions or resources, e.g. SDN or NFV entities
- H04L 41/5045: {Making service definitions prior to deployment}
- H04W 8/08: Mobility data transfer
- H04W 64/006: {with additional information processing, e.g. for direction or speed determination}
- H04W 4/029: Location-based management or tracking services
- H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M)
- G06N: COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

Methods and systems for End-to-End (E2E) User Equipment (UE) trajectory network automation are herein provided. According to one aspect, a network node for E2E U E trajectory network automation, such as a Network Data Analytics Function (NWDAF), receives, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location; calculates a E2E mobility trajectory prediction for the identified future E2E UE trajectory; and sends, to the requesting entity, the calculated E2E mobility trajectory prediction. The requesting entity may be a trusted entity or an untrusted entity, such as a Third Party Provider (3PP) outside of the trusted domain of the network. If the requesting entity selects a mobility trajectory, the network node sends mobility management and optimization information to a Radio Access Network node.

## Claims

### Claim 1

A method, performed in a network node within a telecommunications network, for End-to-End, E2E, User Equipment, UE, trajectory network automation, the method comprising:
receiving, from a requesting entity, information identifying a future E2E UE trajectory, the identified future E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location;
calculating an E2E mobility trajectory prediction for the identified future E2E UE trajectory and for at least one alternative E2E UE trajectory, wherein the E2E mobility trajectory prediction comprises a predicted UE experience for the identified future E2E UE trajectory and another predicted UE experience for the at least one alternative E2E UE trajectory, each predicted UE experience[H] including a cost for a corresponding E2E UE trajectory; and
sending, to the requesting entity, the calculated E2E mobility trajectory predictions for the identified future E2E UE trajectory and the at least one alternative E2E UE trajectory, from which the requesting entity will select an E2E UE trajectory.

### Claim 2 (depends on 1)

The method of claim 1 wherein the network node comprises at least one of:
a Network Data Analytics Function, NWDAF; and
a Policy Control Function, PCF.

### Claim 3 (depends on 1)

The method of claim 1 wherein the requesting entity comprises an untrusted application function.

### Claim 4 (depends on 3)

The method of claim 3 wherein the request from the requesting entity is received from a Network Exposure Function, NEF, or a Service Capability Exposure Function, SCEF.

### Claim 5 (depends on 1)

The method of claim 1 wherein the requesting entity comprises an application hosted by a UE.

### Claim 6 (depends on 5)

The method of claim 5 wherein the request from the requesting entity is received from a User Plane Function, UPF.

### Claim 7 (depends on 1)

The method of claim 1 wherein receiving the information identifying a future E2E UE trajectory comprises receiving information comprising network slice characteristics.

### Claim 8 (depends on 7)

The method of claim 7 wherein the network slice characteristics comprise:
an expected average downlink throughput per step or turn;
an expected average downlink throughput during the stops;
an expected average uplink throughput per step or turn;
an expected average uplink throughput during the stops;
an expected average latency per step or turn;
an expected average latency during the stops;
an expected average jitter per step or turn;
an expected average jitter during the stops;
an expected average reliability;
an expected cost of tolls; and/or
an expected cost per bit.

### Claim 9 (depends on 1)

The method of claim 1 wherein receiving a start location comprises receiving:
an estimated time to start;
a latitude or equivalent;
a longitude or equivalent; and/or
an altitude or equivalent.

### Claim 10 (depends on 1)

The method of claim 1 wherein receiving an end location comprises receiving:
a latitude or equivalent;
a longitude or equivalent; and/or
an altitude or equivalent.

### Claim 11 (depends on 1)

The method of claim 1 wherein receiving zero or more intermediate locations comprises receiving one or more stops or proposed turns.

### Claim 12 (depends on 11)

The method of claim 11 wherein receiving a stop comprises receiving:
an estimated stop time;
a latitude or equivalent;
a longitude or equivalent; and/or
an altitude or equivalent.

### Claim 13 (depends on 11)

The method of claim 11 wherein receiving a proposed turn comprises receiving:
a new heading or change of direction;
a latitude or equivalent;
a longitude or equivalent; and/or
an altitude or equivalent.

### Claim 14 (depends on 13)

The method of claim 13 wherein a new heading or change of direction comprises an indication of right, left, up, down, or back.

### Claim 15

(canceled)

### Claim 16 (depends on 1)

The method of claim 1 wherein the predicted UE experience for the identified future E2E UE trajectory comprises:
an identifier of the proposed route;
an estimated time of arrival of the proposed route;
an expected average downlink throughput per step or turn;
an expected average downlink throughput during the stops;
an expected average uplink throughput per step or turn;
an expected average uplink throughput during the stops;
an expected average latency per step or turn;
an expected average latency during the stops;
an expected average jitter per step or turn;
an expected average jitter during the stops;
an expected average reliability;
an expected cost of tolls; and/or
an expected cost per bit.

### Claim 17

(canceled)

### Claim 18 (depends on 1)

The method of claim 1 wherein the predicted UE experience for the at least one alternative E2E UE trajectory comprises:
an identifier of the proposed route;
an estimated time of arrival of the proposed route;
an expected average downlink throughput per step or turn;
an expected average downlink throughput during the stops;
an expected average uplink throughput per step or turn;
an expected average uplink throughput during the stops;
an expected average latency per step or turn;
an expected average latency during the stops;
an expected average jitter per step or turn;
an expected average jitter during the stops;
an expected average reliability;
an expected cost of tolls; and/or
an expected cost per bit.

### Claim 19 (depends on 1)

The method of claim 1, further comprising:
receiving, from the requesting entity, information identifying a selected E2E UE trajectory; and
adjusting the telecommunications network based on the selected E2E UE trajectory, wherein adjusting the telecommunications network comprises at least one of:
sending mobility management and optimization information to a Radio Access Network, RAN; and
adjusting the telecommunications network to deliver the predicted UE experience of the selected E2E UE trajectory.

### Claim 20 (depends on 19)

The method of claim 19 wherein receiving the information identifying the selected E2E UE trajectory comprises receiving information identifying a selected route.

### Claim 21 (depends on 19)

The method of claim 19 wherein sending the mobility management and optimization information to the RAN comprises sending the mobility management and optimization information to a Next Generation, NG, RAN.

### Claim 22 (depends on 19)

The method of claim 19 wherein sending the mobility management and optimization information to the RAN comprises sending the mobility management and optimization information directly to the RAN.

### Claim 23 (depends on 19)

The method of claim 19 wherein sending the mobility management and optimization information to the RAN comprises sending the mobility management and optimization information via one or more of:
a Core Access and Mobility Management Function, AMF;
an Operation and Maintenance, O&M, function; and
a Network Slice Selection Function, NSSF.

### Claim 24

A network node for End-to-End, E2E, User Equipment, UE, trajectory network automation, the network node comprising:
one or more processors; and
memory storing instructions executable by the one or more processors, whereby the network node is operable to:
receive, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location;
calculate an E2E mobility trajectory prediction for the identified future E2E UE trajectory and for at least one alternative E2E UE trajectory, wherein the E2E mobility trajectory prediction comprises a predicted UE experience for the identified future E2E UE trajectory and another predicted UE experience for the at least one alternative E2E UE trajectory, each predicted UE experience[M] including a cost for a corresponding E2E UE trajectory; and
send, to the requesting entity, the calculated E2E mobility trajectory predictions for the identified future E2E UE trajectory and the at least one alternative E2E UE trajectory, from which the requesting entity will select an E2E UE trajectory.

### Claim 25 (depends on 24)

The network node of claim 24, further operable to:
receive, from the requesting entity, information identifying a selected E2E UE trajectory; and
adjust the telecommunications network based on the selected E2E UE trajectory, wherein adjusting the telecommunications network comprises at least one of:
sending mobility management and optimization information to a Radio Access Network, RAN; and
adjusting the telecommunications network to deliver the predicted UE experience of the selected E2E UE trajectory.

### Claim 26

A non-transitory computer readable medium storing software instructions that, when executed by one or more processors of a network node for End-to-End, E2E, User Equipment, UE, trajectory network automation, cause the network node to:
receive, from a requesting entity, information identifying a future E2E UE trajectory, the E2E UE trajectory comprising a start location, an end location, and zero or more intermediate locations between the start location and the end location;
calculate an E2E mobility trajectory prediction for the identified future E2E UE trajectory and for at least one alternative E2E UE trajectory, wherein the E2E mobility trajectory prediction comprises a predicted UE experience for the identified future E2E UE trajectory and another predicted UE experience for the at least one alternative E2E UE trajectory, each predicted UE experience including a cost for a corresponding E2E UE trajectory; and
send, to the requesting entity, the calculated E2E mobility trajectory predictions for the identified future E2E UE trajectory and the at least one alternative E2E UE trajectory, from which the requesting entity will select an E2E UE trajectory;
receive, from the requesting entity, information identifying a selected E2E UE trajectory; and
adjust the telecommunications network based on the selected E2E UE trajectory, wherein adjusting the telecommunications network comprises at least one of:
sending mobility management and optimization information to a Radio Access Network, RAN; and
adjusting the telecommunications network to deliver the predicted UE experience of the selected E2E UE trajectory.

### Claim 27 (depends on 1)

The method of claim 1 wherein each E2E mobility trajectory prediction is calculated based on at least one of a current network configuration and a predicted network configuration.

### Claim 28 (depends on 24)

The method of claim 24 wherein each E2E mobility trajectory prediction is calculated based on at least one of a current network configuration and a predicted network configuration.