Tuesday, January 19, 2010

Continuous Computing Offers TDD-LTE Source Code

Continuous Computing released an upgraded version of its "Trillium" Long Term Evolution (LTE) eNodeB protocol software, which now includes support for the Time Division Duplex (TDD) variant of LTE, known as TD-LTE.

Continuous Computing said a TDD version of LTE is not exclusively aimed at China. WiMAX operators are also expected to leverage TD-LTE. Unlike in the 3G market where TDD variants of the WCDMA standard are being deployed only in certain regions, TD-LTE is expected to have broad applicability due to the availability of unpaired spectrum around the globe. While FDD requires paired spectrum (one carrier for downlink and one for uplink), TDD employs unpaired or shared spectrum using time slots to manage interference.

Concurrently, the company is now offering its Trillium Advanced LTE Media Access Control (MAC) Schedulers suite, a set of six optimized schedulers, as well as an upgrade to the MAC scheduler interface, which helps network equipment providers (NEPs) to meet growing scalability requirements by creating their own scheduler implementations and running MAC and the MAC scheduler as independent execution modules.

Continuous Computing said one of the key breakthroughs in achieving LTE's promised data rate performance is the MAC scheduler, which permits efficient and optimal allocation of resources on the air interface. Resources are scheduled once per millisecond and on a per-user basis, making this function both processor-intensive and time-restrictive. By providing six proven implementations of different scheduling algorithms and allowing NEPs to define their own unique algorithms, Continuous Computing is accelerating time-to-market and enabling product differentiation. De-coupling the LTE MAC and MAC scheduler functions also enables NEPs to scale the scheduler independently as the number of users increase.

"With 13 LTE design wins and counting, Continuous Computing is focused on maintaining its leadership position in LTE through consistent investment in product evolution, including performance optimization, compliance upgrades and feature enhancements," said Manish Singh, VP Product Line Management at Continuous Computing.

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