At&t Intellectual Property I, LP

At+t Corp.

Alfred Consulting LLC

Other

At&t Bell Laboratories

Yonatan Aharon Levy

Xiaowen Mang

Joseph Anderson Alfred

David Hoeflin

John Babu Medamana

Sanja Durinovic-Johri

Kamlesh T Tewani

Wai Sum Lai

Arvind S Chakravarti

Ali Mohammad Kujoory

Farhad Saheban

John Joseph Sikora

Mostafa Tofighbakhsh

Anestis Karasaridis

Danielle Liu

Shyam Parekh

Rodolfo Alberto Milito

Eberhard F Wunderlich

Richard Hellstern

Daniel Paul Heyman

Hrair Aldermeshian

Jeffrey Polhemus

Salomi T Charalambous

Raymond L Kimber

Eduardo Pinzon

Catagay Buyukkoc

R Craig Hubbard

Frank A Field

Suhasini V Sabinas

Disclosed herein are systems and methods related to reducing or making more efficient handovers from one cell to another cell in a communications network. The method includes receiving mobility data for a device being serviced by a first cell, classifying the device based on the mobility data to yield a classification and making a handoff decision when handing off the device from the first cell to a second cell based at least in part on the classification. An example of the mobility data is a speed at which the device is moving or time a device is in a cell.

Device for transmitting mobility information in heterogeneous networks

System and method for using mobility information in heterogeneous networks

A method and apparatus for performing traffic engineering, e.g., allocating bandwidth, on a wireless access network are disclosed. For example, the method determines a number of subscriber stations (SSs) that a Base Station (BS) is capable of supporting in accordance with at least one performance objective for voice traffic, wherein the at least one performance objective for voice traffic comprises a type of codec. The method then allocates bandwidth by the base station in accordance with the number of subscriber stations that the base station is capable of supporting.

Method and apparatus for allocating bandwidth for a network

Disclosed herein are systems and methods related to reducing or making more efficient handovers from one cell to another cell in a communications network. The method includes receiving mobility data for a device being serviced by a first cell, classifying the device based on the mobility data to yield a classification and making a handoff decision when handing off the device from the first cell to a second cell based at least in part on the classification. An example of the mobility data is a speed at which the device is moving.

Concepts and technologies are disclosed herein for controlling data access and rate in a network. An enforcement application can detect a request for a data session and determine how and when the requested data session is to be established. The enforcement application can consider various data, input obtained at the user device, and/or other considerations including subscriber data and network data. Based upon these data, the enforcement application can determine network congestion, available resources, available bandwidth, an allocation rate of congestion credits ('credits') for the user, a flow rate of the credits from an account to a credit pool, and a usage rate of the credits from the credit pool. The enforcement application can be configured to enforce the usage rate against a data session and to issue one or more commands to control the data session.

Controlling data access and rate in a network

A method and apparatus for providing bandwidth allocation for a network are disclosed. For example, the method receives data from a plurality of subscribers for transmission, and allocates a minimum reserved bandwidth to each of the plurality of subscribers. The method then allocates a portion of a shareable bandwidth to at least one of the plurality of subscribers in accordance with a weight factor.

Method and apparatus for providing a weighted bandwidth allocation for a network

Embodiments of the present invention are directed to characterizing reliability associated with a network. To characterize the reliability, an edge-pair reliability metric is determined for service edge point pairs. An end-to-end reliability metric is computed based on a distribution of the edge-pair reliability metric for the service edge point pairs and a threshold value.

Reliability metrics in an IP network

Growing community of inventors

Manalapan, NJ, United States of America

Yonatan Aharon Levy