Alcatel Lucent

Alcatel-lucent USA Inc.

Sameer Sharma

Edward Grinshpun

David Faucher

Zulfiquar Sayeed

Qi Liao

Harish Viswanathan

Paul Albin Wilford

Bruce Cilli

Charles Payette

Ed Grinshpun

Viorel Craciun

Peter Beecroft

Ingrid Van De Voorde

In one example embodiment, a method of adaptive video streaming includes receiving, by a server, a request for a video segment from an end user device and determining, by the server, a plurality of variables, the plurality of variables including at least one of a download time of a previously requested video segment by the end user device, a fullness of a buffer at the end user device and a size of the buffer. The method further includes determining, by the server, a rate of the requested video segment based on one or more of the determined plurality of variables and sending, by the server, the requested video segment at the determined rate to the end user device.

System and method for enabling network based rate determination for adaptive video streaming

A metric of cell congestion is determined using an average physical resource block rate that is expected to be allocated for a very active user equipment bearer that is a persistent average rate. The average physical resource block rate is mapped to congestion levels and this information is exported to an application function or a radio access network function in order to mitigate congestion. An average bearer throughput for the user equipment can be calculated based on the average physical resource block rate.

System and method for determining cell congestion level

An application type of a bearer is classified by computing statistics vectors of bearer metrics and locating points on a label map corresponding to the statistics vectors to obtain application type information. The application type information is exported to a network node to control an operation of application. The bearer metrics include bearer identifier information and bearer condition information, where the bearer condition information includes channel condition information and cell congestion level information. The bearers are paired, such that uplink and downlink bearers for a same application are identified, so that paired bearers are classified together. The label map is produced using previously classified bearer information to calculate cluster centroids and cluster regions that define portions of the map for particular application types. The bearer is classified by determining which cluster region is closest to points on the label map that are associated with the statistics vectors for a particular bearer.

Method and system for controlling an operation of an application by classifying an application type using data bearer characteristics

Fast congestion detection is implemented in a wireless radio access network (RAN) to mitigate congestion by classifying bearers into bearer types using bearer metrics and monitoring bearers for type specific anomalies to obtain anomaly data. Congestion is detected based on the anomaly data to obtain congestion information that is exported to a network node to mitigate network congestion. Bearer metrics include radio link protocol (RLC) buffer size information, physical resource block (PRB) utilization information, and transmission burst interval information. The transmission burst interval information includes information on time intervals between successive time periods when a RLC buffer is empty. The bearers are classified into Type I and Type II bearers. Type I bearers are bearers displaying bursty data transfer behavior, and Type II bearers are bearers displaying a continuous stream of data transfer behavior.

System and method for mitigating network congestion using fast congestion detection in a wireless radio access network (RAN)

A smoothed transport block size is forecasted by predicting future value information based on historical time series data obtained at an e-Node B. The historical time series data includes historical transport block size information and historical modulation and coding scheme information. A mapping function is used to correlate the future value information with historical transport block size information. Once the mapping function is determined, the mapping function forecasts the average transport block sizes by inputting the future value information into the mapping function. The smoothed transport block sizes and the future value information is then transmitted to an application server and/or an application client at a user equipment to control an operation of an application.

System and method for controlling an operation of an application by forecasting a smoothed transport block size

Example embodiments are directed to methods of ensuring high availability of a network using asynchronous checkpointing of application state data related to an object. Example embodiments include a method of asynchronous checkpointing application state data related to at least one object, including receiving application events and processing the application events to obtain new application state data. The method further includes modifying at least a portion of previously stored application state data and asynchronously and independently checkpointing the modified application state data based on whether the modified application state data has reached a stable state. Example embodiments also include a method of ensuring consistent application state data across a network. This method may include having at least two CAPs independently and asynchronously storing application state data related to at least one object at two different network nodes and automatically auditing the stored application state data to ensure data consistency.

Growing community of inventors

Holmdel, NJ, United States of America

Sameer Sharma