Telefonaktiebolaget Lm Ericsson (Publ)

Torgny Holmberg

Joakim Persson

Ola Angelsmark

Robert Baldemair

Paul Schliwa-Bertling

Yufei W Blankenship

Yi-Pin Eric Wang

John Walter Diachina

Sorour Falahati

Pradeepa Ramachandra

Miguel Lopez

Kumar Balachandran

Joachim Sachs

Andreas Höglund

Torsten Dudda

Osman Nuri Can Yilmaz

Jonas Fröberg Olsson

Jose Luis Pradas

Niklas Andgart

Mattias Andersson

Sándor Rácz

János Farkas

Ying Sun

Dinand Roeland

György Miklós

Henrik Enbuske

Patrik Salmela

Stefano Ruffini

Bernard Smeets

Nianshan Shi

Zhenhua Zou

José Araújo

Sara Sandberg

Dennis Sundman

Anna Larmo

Balázs Varga

Magnus Sandgren

Kittipong Kittichokechai

Geza Szabo

Harald Gustafsson

Kimmo Juhani Hiltunen

Johan Eker

Alexey Shapin

Per Persson

Norbert Reider

Abdulrahman Alabbasi

András Kern

Alexandros Palaios

Zsolt Kenesi

Gabor Nemeth

Kun Wang

Majid Gerami

Bikramjit Singh

Johan Lundsjö

Dhruvin Patel

Hubertus Andreas Munz

Mårten Wahlström

Johan Kristofer Olsson

Johannes Nygren

Fredrik Svensson

Muhammad Ikram Ashraf

Anders Höglund

Per Skarin

Malgorzata Svensson

Fedor Chernogorov

Rodrigo Berg

Wolfgang Tonutti

Techniques for enhancing performance in Industrial Internet-of-Things (IIoT) scenarios, including techniques for time-sensitive networking (TSN) and 5G wireless network integration. An example method, performed by a wireless device, comprises receiving system information (SI) from a radio base station (RBS) of a radio access network (RAN), the SI being indicative of support for TSN through the RBS, and establishing at least one TSN stream with an external data network, through the RBS. The example method further includes receiving a first timing signal from the wireless communications network, via the RBS, receiving a second timing signal from the external TSN data network to which the wireless device is connected, comparing the first timing signal to the second timing signal to determine an offset, and transmitting the offset to the wireless communications network.

Industrial automation with 5G and beyond

A first device uses a first runtime environment executing on the first device to transfer a code module to a second runtime environment executing on a second device. The code module is configured to execute within the second runtime environment and expose a function of the second device that is supported by the second runtime environment to the first device. The first device executes an application within the first runtime environment. The application remotely invokes the function of the second device via the transferred code module and the second runtime environment.

Secure device operation using transferred code modules

Systems and methods of managing computational resources are provided. In one exemplary embodiment, a method by a controller () for managing computational resources may include dynamically distributing () computational resource shares among sequential services that are mapped to one or more processors (). Further, each sequential service corresponds to an execution step of a remote application (). Also, a service chain (--) comprises at least one sequential service. The dynamical distribution is based on estimated and predetermined tail latencies and average execution times of each sequential service in the service chain as well as the service chain such that the latencies are met. In addition, the one or more service chains are executed contemporaneously.

Systems and methods of managing computational resources

Growing community of inventors

Lund, Sweden

Torgny Holmberg