On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing
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 wavefo...
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| Format: | Article |
| Language: | English |
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Wiley
2008-01-01
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| Series: | International Journal of Digital Multimedia Broadcasting |
| Online Access: | http://dx.doi.org/10.1155/2008/523649 |
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| _version_ | 1832559476694056960 |
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| author | Maurizio Murroni |
| author_facet | Maurizio Murroni |
| author_sort | Maurizio Murroni |
| collection | DOAJ |
| description | 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, 𝜓which has a strong
correlation with subjective perception, is used as an optimization
criterion. |
| format | Article |
| id | doaj-art-2c4c8b5290874a2ab6b422797acb13f8 |
| institution | Kabale University |
| issn | 1687-7578 1687-7586 |
| language | English |
| publishDate | 2008-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Digital Multimedia Broadcasting |
| spelling | doaj-art-2c4c8b5290874a2ab6b422797acb13f82025-02-03T01:29:57ZengWileyInternational Journal of Digital Multimedia Broadcasting1687-75781687-75862008-01-01200810.1155/2008/523649523649On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division MultiplexingMaurizio Murroni0CNIT-MCLab, Department of Electrical and Electronic Engineering, University of Cagliari, Piazza d'Armi, Cagliari 09124, ItalyMultiple 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, 𝜓which has a strong correlation with subjective perception, is used as an optimization criterion.http://dx.doi.org/10.1155/2008/523649 |
| spellingShingle | Maurizio Murroni On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing International Journal of Digital Multimedia Broadcasting |
| title | On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing |
| title_full | On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing |
| title_fullStr | On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing |
| title_full_unstemmed | On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing |
| title_short | On the Efficient Broadcasting of Heterogeneous Services over Band-Limited Channels: Unequal Power Allocation for Wavelet Packet Division Multiplexing |
| title_sort | on the efficient broadcasting of heterogeneous services over band limited channels unequal power allocation for wavelet packet division multiplexing |
| url | http://dx.doi.org/10.1155/2008/523649 |
| work_keys_str_mv | AT mauriziomurroni ontheefficientbroadcastingofheterogeneousservicesoverbandlimitedchannelsunequalpowerallocationforwaveletpacketdivisionmultiplexing |