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Proceedings Paper

Stochastic optimization of space-time constellations
Author(s): Xinjia Chen; Patrick Carriere; Fred Lacy
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Paper Abstract

For wireless data communication systems employing multiple antennas, space-time codes play crucial roles for fast transmission of data with accuracy and bandwidth efficiency. Motivated by the large size of constellations of space-time codes and the resultant computational complexity, we develop a stochastic approach for the optimization of space-time constellations. We use union bounds of block error rate as performance measures of the space-time codes. To overcome the computational complexity, we propose to transform the performance measure into the mean of a bounded random variable and establish a statistical method for the estimation of such mean and its gradients with respect to parameters. A stochastic gradient descent method is developed for optimizing space-time codes. Such stochastic techniques are applied to obtain high performance space-time codes of large constellation sizes.

Paper Details

Date Published: 23 May 2015
PDF: 11 pages
Proc. SPIE 9456, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV, 94560Q (23 May 2015); doi: 10.1117/12.2176846
Show Author Affiliations
Xinjia Chen, Southern Univ. (United States)
Patrick Carriere, Southern Univ. (United States)
Fred Lacy, Southern Univ. (United States)


Published in SPIE Proceedings Vol. 9456:
Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV
Edward M. Carapezza, Editor(s)

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