Telefonaktiebolaget Lm Ericsson (publ)

Craig Donovan

Vlasios Tsiatsis

Athanasios Karapantelakis

Aneta Vulgarakis Feljan

Maxim Teslenko

Konstantinos Vandikas

Rafia Inam

Elena Fersman

Joerg Niemoeller

Keven Wang

Calin Curescu

Sébastien Pierrel

Paul Ballman

Curtis Goedde

Ron Hamway

A method and a traffic control entity () for controlling a group of vehicles () capable of autonomous driving without requiring a driver, to allow an emergency vehicle () to pass the group of vehicles () which are travelling concurrently in multiple lanes on a road. When detecting that the emergency vehicle () is approaching the group of vehicles () e.g. from behind, the vehicles in the group () are identified based on information () about current position and movement of the vehicles (). The traffic control entity () then issues a command () instructing the identified vehicles to adjust their lateral positions relative the lanes to create a passage along the group of vehicles (). Thereby, the emergency vehicle () is able to move through the passage without having to slow down significantly.

Method for traffic control entity for controlling vehicle traffic

A method performed by a first peer node for acting as a P2P proxy for a user device is provided. The first peer node operates in a communications network. The first peer node establishes () a renewable energy profile of the first peer node used for powering the first peer node. The renewable energy profile indicates to what extent one or more energy sources are renewable. When a proportion of renewable energy according to the established renewable energy profile exceeds a first threshold, the first peer node acts () as a P2P proxy for the user device for downloading a piece of data to the user device by being powered according to its renewable energy profile.

User device, a first peer node, and methods in a communications network

There is provided mechanisms for controlling media transcoding of a media session between at least two media transceiver devices. The method is performed by a network node. The method comprises obtaining, from at least one of the media transceiver devices, an indication of current allocation of energy for performing playback of the media session in the at least one of the media transceiver devices. The method comprises controlling transcoding of the media session according to the current allocation of energy of the at least one media transceiver device. The transcoding comprises either conversion from a first media format to a second media format of same media type, or conversion from a first media type to a second media type.

Control of media transcoding during a media session

According to the teachings herein, provisioning operations carried out via electronic processing in a communication network () benefit from the use of reordered workflows () having task orderings that are at least partly optimized with respect to task failure probabilities and/or resource-blocking penalties. The reordered workflows () are obtained by optimizing predefined provisioning workflows (). Each predefined workflow () comprises two or more tasks () ordered along one or more task execution paths () in a task tree (), according to a default task ordering that reflects any required inter-task dependencies but, in general, does not reflect any optimization in terms of failure penalties, resource blocking, etc. Among the several advantages provided by the teachings herein, carrying out provisioning operations in accordance with reordered workflows () wastes fewer compute cycles and reduces the needless blocking of network resources in the event of provisioning task failures.

Reordering workflows for network provisioning by using blocking penalty and compounded failure risk values for tasks

It is presented a method for providing data to a wireless device in a cellular communication network comprising a plurality of radio cells. The method is performed in a data provider device and comprises the steps of: predicting a set of potential future locations of the wireless device; predicting future data transfer capacity at the set of potential future locations; and preloading data to the wireless device at a first time when an expected transfer capacity is greater than a desired data transfer capacity, and when a data transfer capacity at a second time after the first time is predicted to be less than a desired data transfer capacity.

Preloading data

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Bromma, Sweden

Craig Donovan