DocumentCode
1686229
Title
Packet Length Optimization for MIMO Mobile Systems with Estimated CSI
Author
Islam, K. M Zahidul ; Wang, Dandan ; Al-Dhahir, Naofal
Author_Institution
Dept. of Electr. Eng., Univ. of Texas at Dallas, Dallas, TX
fYear
2008
Firstpage
1
Lastpage
5
Abstract
The reliability of mobile packet data transmission in multi-input multi-output (MIMO) communication systems is degraded by time-varying multi-path channel fading. This so-called Doppler-effect can be mitigated by using a shorter packet length and/or inserting more pilot training symbols and frequently tracking the channel at the receiver at the cost of additional rate overhead. A judicious choice of the packet length according to channel conditions aims at achieving a tradeoff between reliability and overhead to maximize the achievable throughput. We present an analytical framework for optimizing the packet length in mobile MIMO systems to maximize throughput taking into account channel estimation and Doppler effects. As a case study, we consider the Alamouti space-time block code (STBC) for 2 transmit antennas over Rayleigh flat-fading channels and determine the optimum packet length as a function of input SNR and Doppler rate. Furthermore, we investigate the effect of various system design parameters on the optimum packet length and achievable throughput such as signal constellation size, number of receive antennas, and receiver detection algorithm.
Keywords
MIMO communication; block codes; channel estimation; fading channels; mobile communication; space-time codes; time-varying channels; Doppler effects; MIMO mobile systems; Rayleigh flat-fading channels; channel estimation; mobile packet data transmission; packet length optimization; space-time block code; time-varying multi-path channel fading; Block codes; Channel estimation; Costs; Data communication; Degradation; Doppler effect; Fading; MIMO; Throughput; Time varying systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2008. IEEE GLOBECOM 2008. IEEE
Conference_Location
New Orleans, LO
ISSN
1930-529X
Print_ISBN
978-1-4244-2324-8
Type
conf
DOI
10.1109/GLOCOM.2008.ECP.834
Filename
4698609
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