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On geometric statistics with diversity in multipath scattering channels
Author(s) -
Le Khoa N.
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2473
Subject(s) - multipath propagation , gaussian , probability density function , computer science , scattering , statistical physics , algorithm , transmission (telecommunications) , time of arrival , telecommunications , statistics , physics , mathematics , optics , channel (broadcasting) , quantum mechanics
SUMMARY This paper studies four aspects of multipath propagation with randomly distributed scatterers: (i) Gaussian and hyperbolic time‐of‐arrival (ToA) probability density functions (pdfs); (ii) theoretical bounds on the ToA pdfs; (iii) geometric pdfs in multipath propagation via Gaussian and hyperbolic scattering channels; and (iv) implementation of selective combining diversity as a method to decrease propagation delay, thus improving transmission performance. The Gaussian and hyperbolic scattering channels are employed to model random scatterers between a base station and a user equipment. One‐dimensional and three‐dimensional results of Gaussian and hyperbolic ToA pdfs are reported. Detailed discussions are given. Copyright © 2012 John Wiley & Sons, Ltd.
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