Ecrio, a provider of LTE (News - Alert) real time communications client software, confirmed that its two patents covering communication device architecture targeting 3GPP standards-compliant IP Multimedia Subsystem (News - Alert) (IMS) devices has been approved by the US Patent and Trademark Office.
The patent, entitled "Real Time Communication Client Architecture," issued on January 28, 2014, covers the distributed architecture of IMS based software clients among Application and Modem Processors. The second patent, titled "System, Method and Apparatus for Controlling Multiple Applications and Services on a Digital Electronic Device," issued on Dec 17, 2013 enables multiple IMS services to be active simultaneously using a single IMS Stack.
As the demand for Multi-Service Voice, Video and RCS Client functionality is growing rapidly, there is a need for a simple and efficient Architecture to implement multiple IMS Services. Ecrio’s FlexIMS Architecture accelerates the deployment of core 4G/LTE services like; Voice, Video, SMS as well as Rich Communication Suite (News - Alert) Services across entire device platform portfolio.
"The FlexIMS Architecture is a proven platform for Distributed IMS Client Software and we are pleased that the US Patent and Trademark Office has recognized this cutting-edge technology by issuing these patents," Michel Gannage, founder and chief executive officer of Ecrio (News - Alert) said in a statement.
Built on the FlexIMS Architecture, the Ecrio Mobile Communications Client Suite (MCCS) are designed to address the challenges associated in enabling and sharing high-value and complex communication capabilities among multiple applications and devices, reducing the incremental effort, cost, and risk of deploying and using new LTE and IMS service capabilities.
Ecrio recently demonstrated Nimbus, a cloud-based solution for voice over LTE (VoLTE) and rich communication suite (RCS), at the Mobile World Congress (News - Alert) held in Barcelona. Nimbus basically can connect tablets and machine to machine (M2M) endpoints requiring voice and video services over global LTE networks.
Edited by Cassandra Tucker