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Effnetplattformen AB (publ): Effnet has launched its latest release of Effnet ROHC portfolio and 3GPP defined Ethernet Header Compression, EHC

(1) Luleå, 2020-12-15 Effnet AB, a subsidiary of Effnetplattformen AB and the premier provider of header compression software for wireless and fixed networks today announced that it has launched its latest release of the Effnet ROHC portfolio on reaching a significant milestone in its continuous work on performance optimization. This latest release has been proven on a wide variety of platforms including ARM Cortex-M series suitable for IoT devices, Cortex-A series suitable for smartphone as well as base-station type of products and x86 processors for high user/bandwidth capacity network systems. The Effnet ROHC portfolio scales very well across these platforms and applications due to its optimized memory and CPU requirement. It is a highly portable implementation without any platform (processor or operating system) dependencies which makes it suitable for use in a variety of products using any type of processor and operating system.

Effnet has launched its latest release of Effnet ROHC portfolio and 3GPP defined Ethernet Header Compression, EHC

Effnet has launched its latest release of Effnet ROHC portfolio and 3GPP defined Ethernet Header Compression, EHC December 15, 2020 04:01 ET | Source: Effnetplattformen AB (publ) Effnetplattformen AB (publ) Luleå, SWEDEN Luleå, 2020-12-15  Effnet AB, a subsidiary of Effnetplattformen AB and the premier provider of header compression software for wireless and fixed networks today announced that it has launched its latest release of the Effnet ROHC portfolio on reaching a significant milestone in its continuous work on performance optimization. This latest release has been proven on a wide variety of platforms including ARM Cortex-M series suitable for IoT devices, Cortex-A series suitable for smartphone as well as base-station type of products and x86 processors for high user/bandwidth capacity network systems. The Effnet ROHC portfolio scales very well across these platforms and applications due to its optimized memory and

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