# US 9,883,347 B2 · Specific velocity estimation of wireless network devices

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- Number: US 9,883,347 B2
- Document ID: US9883347B2
- Status: Granted
- Kind: B2
- Application number: 15/370,213
- Filed: 2016-12-06
- Published: 2017-03-30
- Granted: 2018-01-30
- Earliest claimed: 2015-06-24
- Assignees: The Florida International University Board of Trustees
- Applicants: Arvind Merwaday; Ismail Guvenc
- Inventors: Arvind Merwaday; Ismail Guvenc
- Web page: https://patentgrep.com/patent/US9883347B2

## CPC

- H04W 4/027: {using movement velocity, acceleration information}
- H04W 4/021: Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
- H04W 64/006: {with additional information processing, e.g. for direction or speed determination}
- H04W 72/51: based on terminal or device properties
- H04W 36/00833: {Handover statistics}
- H04W 36/0088: {Scheduling hand-off measurements}
- H04W: WIRELESS COMMUNICATION NETWORKS (broadcast communication H04H; communication systems using wireless links for non-selective communication, e.g. wireless extensions H04M1/72)

## Abstract

Techniques are disclosed for determining a specific velocity of a device attached to a wireless network. The specific velocity can be determined using a handover count of the base station boundary transitions over a time window and/or using a set of sojourn time samples that each denote the duration the device remains in the zone of a particular base station. Techniques operate effectively in cellular networks having high base station densities. The specific velocity estimates may be inputs to components on the device or network to adjust a local device function or performance behavior.

## Claims

### Claim 1

A method of determining the velocity of a device in a wireless network, the method comprising:
generating a handover count (H) of base station boundary transitions by the device;
receiving the handover count (H) made by the device over a predefined time window (T);
determining a specific velocity estimate based on the handover count (H), the predefined time window (T), and a base station density (λ) as inputs to a velocity estimator; and
returning the specific velocity estimate to the device itself and a wireless network controller through a base station,
the base station density (λ) being periodically retrieved from the wireless network, and
the velocity estimator being selected from the group consisting of a minimum variance unbiased estimator, a best linear unbiased estimator, a maximum likelihood estimator, a least squares estimator, a method of moments estimator, and a Bayesian estimator.

### Claim 2 (depends on 1)

The method of claim 1, further comprising receiving the predefined time window (T) from the wireless network.

### Claim 3 (depends on 1)

The method of claim 1, wherein the predefined time window (T) is from 25 seconds to 35 seconds.

### Claim 4 (depends on 1)

The method of claim 1, further comprising receiving the base station density (λ) for a particular wireless network zone, wherein the device is located in the particular wireless network zone.

### Claim 5 (depends on 1)

The method of claim 1, wherein (λ) is from 1000 to 10000 base stations per square kilometer.

### Claim 6 (depends on 1)

The method of claim 1, further comprising:
receiving the specific velocity estimate at a component of the device, wherein the component modifies a local function of the device.

### Claim 7 (depends on 1)

The method of claim 1, further comprising:
receiving the specific velocity estimate at the wireless network controller; and
adjusting a performance behavior of the wireless network using the specific velocity estimate.

### Claim 8 (depends on 1)

The method of claim 1, wherein the wireless network comprises phantom cells.

### Claim 9

A method of determining the velocity of a device in a wireless network, the method comprising:
receiving a vector T of N sojourn time samples, wherein each sojourn time sample denotes the duration the user device remains in a zone of a particular base station;
determining a specific velocity estimate based on a sojourn time by using the vector T and a base station density (λ) as inputs to a velocity estimator; and
returning the specific velocity estimate to the device itself and a wireless network controller through a base station,
the base station density (λ) being periodically retrieved from the wireless network, and
the velocity estimator being selected from the group consisting of a minimum variance unbiased estimator, a best linear unbiased estimator, a maximum likelihood estimator, a least squares estimator, a method of moments estimator, and a Bayesian estimator.

### Claim 10 (depends on 9)

The method of claim 9, further comprising receiving the base station density (λ) for a particular wireless network zone, wherein the device is located in the particular wireless network zone.

### Claim 11 (depends on 9)

The method of claim 9, further comprising:
receiving the specific velocity estimate at a component of the device, wherein the component adjusts a local parameter of the device.

### Claim 12 (depends on 9)

The method of claim 9, further comprising:
receiving the specific velocity estimate at the wireless network controller; and
adjusting a performance behavior of the wireless network using the specific velocity estimate.

### Claim 13 (depends on 9)

The method of claim 9, wherein the wireless network comprises one or more of a cellular network, a heterogeneous network, and a hyper-dense network.

### Claim 14 (depends on 9)

The method of claim 9, wherein the wireless network comprises phantom cells.