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Optimization of Computational Resource Allocation for Soft MIMO Detection
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.ORCID iD: 0000-0002-7599-4367
2009 (English)In: Proceedings of the 43rd Asilomar Conference on Signals, Systems, and Computers (ACSSC'09), IEEE , 2009, 1488-1492 p.Conference paper, Published paper (Refereed)
Abstract [en]

We consider soft MIMO detection for the case of block fading. That is, the transmitted codeword spans over several independent channel realizations and several instances of the detection problem must be solved for each such realization. We develop methods that adaptively allocate the computational resources to the detection problems of each channel realization, under a total per-codeword complexity constraint. Our main results are a formulation of the problem as a mathematical optimization problem and a greedy algorithm to approximate it in a computationally feasible fashion.

Place, publisher, year, edition, pages
IEEE , 2009. 1488-1492 p.
Series
Asilomar Conference on Signals, Systems and Computers. Conference Record, ISSN 1058-6393
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-50585DOI: 10.1109/ACSSC.2009.5470099ISBN: 978-1-4244-5826-4 (print)ISBN: 978-1-4244-5825-7 (print)ISBN: 978-1-4244-5827-1 (print)OAI: oai:DiVA.org:liu-50585DiVA: diva2:271674
Available from: 2009-10-12 Created: 2009-10-12 Last updated: 2016-08-31

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Čirkić, MirsadPersson, DanielLarsson, Erik G.

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  • sv-SE
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Output format
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