DocumentCode :
1995564
Title :
Adaptive M-QAM Systems with Diversity in Correlated Nakagami-m Fading and Shadowing
Author :
Alexandropoulos, George C. ; Conti, Andrea ; Mathiopoulos, P. Takis
Author_Institution :
Dept. of Comput. Eng. & Inf., Univ. of Patras, Rio-Patras, Greece
fYear :
2010
fDate :
6-10 Dec. 2010
Firstpage :
1
Lastpage :
5
Abstract :
Adaptive M-QAM systems with maximal-ratio diversity (MRD) over composite arbitrarily correlated Nakagami-m fading and log-normal shadowing channels are analyzed. The slow adaptive modulation (SAM) technique is considered which adapts the constellation signaling to slow channel variations and achieves good performance in terms of spectral efficiency (SE) and bit error outage (BEO) despite its low feedback rate. Non-ideal channel estimation (CE) based on pilot symbols is assumed. Analytical expressions and tight bounds for the bit error probability are obtained which are used for deriving analytical expressions and tight bounds for the BEO and achieved SE (ASE). Performance evaluation results have shown that fading correlation and CE errors degrade the performance of SAM systems. The partition of resources for CE and information data requires a careful definition of the ASE and results have shown the tradeoff between CE quality and ASE.
Keywords :
Nakagami channels; adaptive modulation; channel estimation; diversity reception; error statistics; quadrature amplitude modulation; Nakagami-m fading channels; SAM systems; adaptive M-QAM systems; bit error outage; bit error probability; channel estimation; constellation signaling; log-normal shadowing channels; maximal ratio diversity; slow adaptive modulation; spectral efficiency; Correlation; Diversity reception; Fading; Lead; Modulation; Shadow mapping; Signal to noise ratio;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference (GLOBECOM 2010), 2010 IEEE
Conference_Location :
Miami, FL
ISSN :
1930-529X
Print_ISBN :
978-1-4244-5636-9
Electronic_ISBN :
1930-529X
Type :
conf
DOI :
10.1109/GLOCOM.2010.5683848
Filename :
5683848
Link To Document :
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