Rakuten Symphony, Inc.

Prasad Hiremath

Lokesh Chimbili

Mahesh Sivapuram

Sridhar Bhaskaran

Mruthyunjaya Navali

Hari Swaroop Kanzal Venkatesha

Naga Krishna Prasad Jampala

Nirav Salot

Ravi Chamarty

Amith Basavaraj

Yassar Sharaafath Chennampillil Ahamadkutty

In general, the current subject matter relates to triggering network redundancy based on LBM. In some implementations, triggering network redundancy based on LBM can include, via a DU, transmitting an LBM data request to an RU, receiving an LBM data response from the RU, enabling user plane communications with the RU based on receiving the LBM data response, transmitting, based on the established periodicity, a second LBM data request based on a MAC address to a plurality of RUs including the RU, marking the RU as non-responsive when a second LBM data response to the second LBM data request from the RU is not received or the second LBM data response indicates an issue for a consecutive number of times, and establishing a second MAC address for communicating with the plurality of RUs when each of the plurality of RUs are marked as non-responsive.

Triggering network redundancy based on loopback messaging

In general, the current subject matter relates to automated upgrade and fallback across multiple operating system ('OS') instances. In some implementations, automated upgrade and fallback across multiple OS instances can include attempting to boot an OS from a first Basic Input/Output System (BIOS) pre-stored in a first partition of a memory of a communication device in a wireless communication system. The OS can run on the communication device in response to the OS booting successfully from the first BIOS, and the method can further include, in response to the OS not booting successfully from the first BIOS, automatically attempting to boot the OS from a second BIOS pre-stored in a second partition of the memory of the communication device.

Automated upgrade and fallback across multiple operating system instances

A method, an apparatus, and a computer program product for scaling one or more processing resources in a wireless communication system. One or more processing resources being assigned to one or more containers in a plurality of containers of a cloud native radio access network for providing communication to at least one user equipment in a plurality of user equipments are monitored. Based on the monitoring, a determination of whether to change an assignment of one or more processing resources in the plurality of containers is made. Based on the determination, the assignment of one or more processing resources is changed.

Scaling of cloud native radio access network workloads in a cloud computing environment

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Bengaluru, India

Prasad Hiremath