Specific velocity estimation of wireless network devices
AssigneeThe Florida International University Board of Trustees
InventorsArvind Merwaday, Ismail Guvenc
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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.
Claims14
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.
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.
Dependencies are inferred from the claim text.