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International Journal of Digital Multimedia Broadcasting
Volume 2008 (2008), Article ID 523649, 9 pages
http://dx.doi.org/10.1155/2008/523649
Research Article

On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing

CNIT-MCLab, Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, Cagliari 09124, Italy

Received 5 September 2007; Revised 2 November 2007; Accepted 4 December 2007

Academic Editor: Massimiliano Laddomada

Copyright © 2008 Maurizio Murroni. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Multiple transmission of heterogeneous services is a central aspect of broadcasting technology. Often, in this framework, the design of efficient communication systems is complicated by stringent bandwidth constraint. In wavelet packet division multiplexing (WPDM), the message signals are waveform coded onto wavelet packet basis functions. The overlapping nature of such waveforms in both time and frequency allows improving the performance over the commonly used FDM and TDM schemes, while their orthogonality properties permit to extract the message signals by a simple correlator receiver. Furthermore, the scalable structure of WPDM makes it suitable for broadcasting heterogeneous services. This work investigates unequal error protection (UEP) of data which exhibit different sensitivities to channel errors to improve the performance of WPDM for transmission over band-limited channels. To cope with bandwidth constraint, an appropriate distribution of power among waveforms is proposed which is driven by the channel error sensitivities of the carried message signals in case of Gaussian noise. We address this problem by means of the genetic algorithms (GAs), which allow flexible suboptimal solution with reduced complexity. The mean square error (MSE) between the original and the decoded message, 𝜓 which has a strong correlation with subjective perception, is used as an optimization criterion.