On the SNR penalty for antenna subset diversity

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On the SNR penalty for antenna subset diversity

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International Conference On Communications And Mobile Computing archive
Proceedings of the 2006 international conference on Wireless communications and mobile computing table of contents

Vancouver, British Columbia, Canada

SESSION: T2-E: MIMO systems symposium table of contents

Pages: 617 - 622

Year of Publication: 2006

ISBN:1-59593-306-9

Authors

Wesley M. Gifford	Massachusetts Institute of Technology, Cambridge, MA
Moe Z. Win	Massachusetts Institute of Technology, Cambridge, MA
Marco Chiani	University of Bologna, Bologna, ITALY

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ACM: Association for Computing Machinery

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ACM New York, NY, USA

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ABSTRACT

In this paper, we derive the asymptotic symbol error probability (SEP) of antenna subset diversity (SSD), where the signals from a subset of antenna elements are selected and combined in the presence of channel estimation error. The analysis is valid for arbitrary two-dimensional signaling constellations. We investigate the asymptotic SNR penalty, or performance loss between this system and an ideal system, caused by estimation error. We also compare this SNR penalty to that of a SSD system operating with perfect selection, but imperfect combining. We consider independent identically distributed (i.i.d.) Rayleigh fading channels and use an estimator structure based on the maximum likelihood (ML) estimate which arises naturally as the sample mean of N_p pilot symbols. In both cases our analytical results show that the practical ML channel estimator still preserves the diversity order of an ideal SSD system with N_d branches.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

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