A GPU Implementation of a Real-Time MIMO Detector

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Title: A GPU Implementation of a Real-Time MIMO Detector
Author: Wu, Michael; Gupta, Siddharth; Sun, Yang; Cavallaro, Joseph R.
Type: Conference paper
Publisher: IEEE
Citation: M. Wu, S. Gupta, Y. Sun and J. R. Cavallaro, "A GPU Implementation of a Real-Time MIMO Detector," pp. 303-308, 2009.
Abstract: Multiple-input multiple-output (MIMO) is an existing technique that can significantly increase throughput of the system by employing multiple antennas at the transmitter and the receiver. Realizing maximum benefit from this technique requires computationally intensive detectors which poses significant challenges to receiver design. Furthermore, a flexible detector or multiple detectors are needed to handle different configurations. Graphical Processor Unit (GPU), a highly parallel commodity programmable co-processor, can deliver extremely high computation throughput and is well suited for signal processing applications. However, careful architecture aware design is needed to leverage performance offered by GPU. We show we can achieve good performance while maintaining flexibility by employing an optimized trellis-based MIMO detector on GPU.
Date Published: 2009-10-01

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    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
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    Publications by Rice Faculty and graduate students in multimedia communications