DocumentCode :
1847337
Title :
Effective spectral efficiency for adaptive QAM with diversity and pilot assisted channel estimation
Author :
Toni, Laura ; Conti, Andrea ; Zabini, Flavio ; Andrisano, Oreste
Author_Institution :
IEIIT-CNR, Univ. of Bologna, Bologna, Italy
fYear :
2009
fDate :
7-10 Sept. 2009
Firstpage :
126
Lastpage :
130
Abstract :
This paper investigates the effects of non-ideal channel state information in adaptive M-ary quadrature amplitude modulation systems with subset diversity. The slow adaptive modulation (SAM) technique, which adapts the modulation parameters to slow channel variations, is considered. With respects to fixed scheme modulation systems, SAM achieves a good gain in terms of spectral efficiency (SE) and outage probability and, compared to fast adaptive modulation, reduces the system complexity by lowering the feedback rate. Resources dedicated to channel estimation affect both the system performance, in terms of error and outage probability, and the effective SE for which a proper definition is needed. Here, we evaluate the performance of SAM technique when pilot-assisted channel estimation errors are considered. Taking into account the number of pilot symbols transmitted, an effective SE is obtained to address the tradeoff between channel estimation quality and SE.
Keywords :
adaptive modulation; channel estimation; diversity reception; error statistics; quadrature amplitude modulation; spectral analysis; wireless channels; adaptive M-ary QAM; error probability; nonideal channel state information; outage probability; pilot-assisted channel estimation; quadrature amplitude modulation; spectral efficiency; subset diversity; Channel estimation; Channel state information; Diversity reception; Fading; Feedback; Quadrature amplitude modulation; Rayleigh channels; Shadow mapping; Signal to noise ratio; System performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Communication Systems, 2009. ISWCS 2009. 6th International Symposium on
Conference_Location :
Tuscany
Print_ISBN :
978-1-4244-3584-5
Electronic_ISBN :
978-1-4244-3584-5
Type :
conf
DOI :
10.1109/ISWCS.2009.5285252
Filename :
5285252
Link To Document :
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