Stochastic optimization of space-time constellations

Xinjia Chen; Patrick Carriere; Fred Lacy

doi:10.1117/12.2176846

23 May 2015 Stochastic optimization of space-time constellations

Xinjia Chen, Patrick Carriere, Fred Lacy

Proceedings Volume 9456, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV; 94560Q (2015) https://doi.org/10.1117/12.2176846
Event: SPIE Defense + Security, 2015, Baltimore, MD, United States

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.

Citation Download Citation

Xinjia Chen, Patrick Carriere, and Fred Lacy "Stochastic optimization of space-time constellations", Proc. SPIE 9456, Sensors, and Command, Control, Communications, and Intelligence (C3I) Technologies for Homeland Security, Defense, and Law Enforcement XIV, 94560Q (23 May 2015); https://doi.org/10.1117/12.2176846

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