Telefonaktiebolaget Lm Ericsson (Publ)

Per-Erik Brodin

Chris Phillips

Robert Hammond Forsman

Per Hans Willars

Meral Shirazipour

Alvin Jude Hari Haran

A method and apparatus for transmitting a real-time media stream in a communications network. The method comprises separating an essential part of the media stream from a non-essential part of the media stream in said real-time media stream and transmitting the essential part of the media stream on a first bearer and the non-essential part of the media stream on a second bearer. Priority of the first bearer is higher than priority of the second bearer. The method also comprises performing adaptation of the essential part of the media stream in response to a change of traffic conditions on the second bearer.

Method and apparatus for transmitting real-time media stream

A multisession remote game scheme in a distributed network architecture including a dedicated network slice for gaming. A remote game rendering application service deployed in a trusted edge data network includes a remote render system (RRS) manager operative to instantiate one or more remote game rendering engines coupled to respective game engines. RRS manager interfaces to a remote gaming back office disposed in an external network, wherein the RRS manager instantiates and manages a plurality of gaming sessions responsive to game session setup requests propagated from the back office on behalf of clients. An edge routing application is configured to provide edge network location information of the game engines to the remote game back office. A multisession game slice bandwidth manager is operative to allocate a respective bandwidth to each of the plurality of gaming sessions from a dedicated bandwidth of the network slice serving the plurality of gaming sessions.

Managing network slice bandwidth for remote game sessions

An apparatus and method are described herein for training a similarity model that is used to predict similarity between item pairs. In one example, the apparatus is configured to train (build) the similarity model by using machine learning (e.g., a multivariate multiple liner regression process) that utilizes an independent variable including metadata (e.g., title, genre, writer, plot keywords) associated with training items, and two dependent variables including user contributed similarity scores for training item pairs, and collaborative filtering similarity scores for the training item pairs. Then, the apparatus uses the trained model to predict similarity between items.

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SCOTTS VALLEY, CA, United States of America

Per-Erik Brodin