Low-complexity detection for large MIMO systems using partial ML detection and genetic programming

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@InProceedings{Svac:2012:SPAWC,

• author = "Pavol Svac and Florian Meyer and Erwin Riegler and Franz Hlawatsch",
• booktitle = "13th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2012)",
• title = "Low-complexity detection for large MIMO systems using partial ML detection and genetic programming",
• year = "2012",
• pages = "585--589",
• keywords = "genetic algorithms, genetic programming, MIMO communication, maximum likelihood detection, phase shift keying, quadrature amplitude modulation, BPSK, MIMO system, QAM constellation, low-complexity detection, multiple-input multiple-output system, partial ML detection, soft values generation, soft-input genetic optimisation, Cascading style sheets, Complexity theory, Detectors, MIMO, Signal to noise ratio, Vectors",
• DOI = "doi:10.1109/SPAWC.2012.6292977",
• ISSN = "1948-3244",
• abstract = "We propose a low-complexity detector for multiple-input multiple-output (MIMO) systems using BPSK or QAM constellations. The detector operates at the bit level and is especially advantageous for large MIMO systems. It consists of three stages performing partial ML detection, generation of soft values, and soft-input genetic optimisation. For the last stage, we present a genetic programming algorithm that uses the soft values computed by the second stage. Simulation results demonstrate that for large systems, our detector can outperform state-of-the-art methods, and its complexity scales roughly cubically with the system dimension.",
• notes = "Also known as \cite{6292977}",

}

Genetic Programming entries for Pavol Svac Florian Meyer Erwin Riegler Franz Hlawatsch

Citations