DocumentCode
3416477
Title
Quantifying diversity for wireless systems with finite-bit representation
Author
Zhang, Wei ; Ma, Xiaoli
Author_Institution
Sch. of ECE, Georgia Inst. of Technol., Atlanta, GA
fYear
2008
fDate
March 31 2008-April 4 2008
Firstpage
2841
Lastpage
2844
Abstract
Diversity order is widely adopted as a critical metric on the reliability of wireless transmissions over fading channels. Numerous designs have been proposed to collect the diversity from different types of channels. However, since the simulators and practical systems can only afford finite bits to represent the real/complex numbers, the definition of diversity needs to be revisited. In this paper, we thoroughly investigate the effects of finite-bit representation on the statistical properties of the channel and the diversity with different transmitters/receivers. We show that finite-bit representation may cause diversity loss relative to the infinite precision representation. For different transmission systems, the diversity loss follows different patterns as the number of bits decreases. Furthermore, we find that the number of non-vanishing eigenvalues plays an important role in quantizing the diversity for infinite lattice/constellation. Numerical examples verify our theoretical findings.
Keywords
diversity reception; eigenvalues and eigenfunctions; fading channels; statistical analysis; telecommunication network reliability; diversity order; diversity quantification; eigenvalues; fading channels; finite-bit representation; infinite constellation; infinite lattice; infinite precision representation; statistical properties; transmission systems; wireless systems; wireless transmission reliability; Collaborative work; Equalizers; Fading; Gaussian channels; Government; Lattices; Maximum likelihood estimation; OFDM; Signal to noise ratio; Transmitters; Diversity; finite-bit representation; lattice reduction; maximum likelihood equalizer;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE International Conference on
Conference_Location
Las Vegas, NV
ISSN
1520-6149
Print_ISBN
978-1-4244-1483-3
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2008.4518241
Filename
4518241
Link To Document