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GPU detectors for interference cancellation in chaos-based CDMA communications

F. Arguello, D.B. Heras, M. Boo
Dept. of Electron. & Comput. Sci., Univ. of Santiago de Compostela, Santiago de Compostela, Spain
Electronics Letters, 2010

@article{arguello2010gpu,

   title={GPU detectors for interference cancellation in chaos-based CDMA communications},

   author={Arguello, F. and Heras, DB and Boo, M.},

   journal={Electronics Letters},

   volume={46},

   number={10},

   pages={727–729},

   issn={0013-5194},

   year={2010},

   publisher={IET}

}

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Multi-user detection is an effective technique to reduce the mutual interference between users in code division multiple access (CDMA) communications at the cost of a larger number of arithmetic operations. It is shown that multi-user detection can be efficiently computed on graphics processors using a GPGPU approach. Specifically, two GPU parallel interference cancellation detectors for chaos-based CDMA communications are presented. The method is general and scalable and exploits the thousands of threads that the GPU can execute in parallel.
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