3762

Reconfigurable real-time MIMO detector on GPU

Michael Wu, Yang Sun, Joseph R. Cavallaro
Electrical and Computer Engineering, Rice University, Houston, Texas 77005
Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009

@conference{wu2009reconfigurable,

   title={Reconfigurable real-time MIMO detector on GPU},

   author={Wu, M. and Sun, Y. and Cavallaro, J.R.},

   booktitle={Signals, Systems and Computers, 2009 Conference Record of the Forty-Third Asilomar Conference on},

   pages={690–694},

   issn={1058-6393},

   year={2009},

   organization={IEEE}

}

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In a high performance multiple-input multiple-output (MIMO) system, a soft output MIMO detector combined with a channel decoder is often used at the receiver to maximize performance gain. Graphic processor unit (GPU) is a low-cost parallel programmable co-processor that can deliver extremely high computation throughput and is well suited for signal processing applications. We propose and implement a novel soft MIMO detection algorithm and show we meet real-time performance while maintaining flexibility using GPU.
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