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Modulation Diversity in Fading Channels with a Quantized Receiver
Linköping University, Department of Electrical Engineering, Communication Systems. Linköping University, The Institute of Technology.
Monash University of Clayton.
Monash University of Clayton.
Indian Institute Science.
2012 (English)In: Information Theory Proceedings (ISIT), 2011 IEEE International Symposium on, ISSN 2157-8095, Vol. 11, no 1, 2949-2953 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we address the design of codes which achieve modulation diversity in block fading single-input single-output (SISO) channels with signal quantization at the receiver. With an unquantized receiver, coding based on algebraic rotations is known to achieve maximum modulation coding diversity. On the other hand, with a quantized receiver, algebraic rotations may not guarantee gains in diversity. Through analysis, we propose specific rotations which result in the codewords having equidistant component-wise projections. We show that the proposed coding scheme achieves maximum modulation diversity with a low-complexity minimum distance decoder and perfect channel knowledge. Relaxing the perfect channel knowledge assumption we propose a novel channel training/estimation technique to estimate the channel. We show that our coding/training/estimation scheme and minimum distance decoding achieves an error probability performance similar to that achieved with perfect channel knowledge.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE) , 2012. Vol. 11, no 1, 2949-2953 p.
Keyword [en]
Modulation diversity, fading, quantization
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-75286DOI: 10.1109/ISIT.2011.6034118ISI: 000299527700035OAI: diva2:505908

Funding Agencies|Swedish Foundation for Strategic Research (SSF)||Excellence Center at Linkoping-Lund in Information Technology (ELLIIT)||DRDO-IISC||Monash Professorial Fellowship||

Available from: 2012-02-27 Created: 2012-02-24 Last updated: 2014-10-17

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Saif Khan, Mohammed
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