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Learn about scalable MIMO near-ML detector

Posted: 06 Apr 2009     Print Version  Bookmark and Share

Keywords:3GPP  OFDM  multiple input multiple output 

In order to address high spectrum costs, emerging standards such as 3GPP LTE provide high spectral efficiency. These emerging standards achieve high spectral efficiency through a combination of OFDM and spatial multiplexing (SM). To fully exploit these techniques, LTE terminals require high-complexity and power-consuming detection techniques such as multiple input multiple output maximum likelihood (ML) detection. Furthermore, wireless user terminals require support for multiple standards in order to operate in different parts of the world. This flexibility comes at the penalty of increasing design complexity and silicon area, since more functionality has to be implemented in the base band platform. These requirements add up to a major challenge, because LTE terminals must be developed at low cost, short time to market and low power consumption in order to be competitive.

This article discusses a solution for the majority of these challenges with a software defined radio implementation of a scalable near-ML detector.

View the PDF document for more information.

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