A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission
We introduce an improved image transmission scheme over wireless channels with flat Rayleigh fading. The proposed scheme jointly optimizes bit power and modulation level to maximize the peak signal-to-noise ratio (PSNR) of the reconstructed image and hence improves the perceptual quality of the rece...
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| Format: | Article |
| Language: | English |
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Wiley
2012-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2012/642649 |
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| _version_ | 1832551469923958784 |
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| author | Mohamed El-Tarhuni Mohamed Hassan Akram Bin Sediq |
| author_facet | Mohamed El-Tarhuni Mohamed Hassan Akram Bin Sediq |
| author_sort | Mohamed El-Tarhuni |
| collection | DOAJ |
| description | We introduce an improved image transmission scheme over wireless channels with flat Rayleigh
fading. The proposed scheme jointly optimizes bit power and modulation level to maximize the peak signal-to-noise
ratio (PSNR) of the reconstructed image and hence improves the perceptual quality of the received image. In
this optimization process, the significance of bits with regard to the overall quality of the image is exploited. The
optimality of the proposed algorithm is demonstrated using the Lagrange method and verified through an iterative
offline exhaustive search algorithm. For practical implementation, a look-up table is used at the transmitter for
assigning the bit power and modulation level to each bit stream according to the received signal-to-noise ratio
(SNR) observed at the receiver. The proposed scheme has low complexity since the look-up table is computed offline, only once, and used for any image which makes it suitable for devices with limited processing capability.
Analytical and simulation results show that the proposed scheme with jointly optimized bit power and variable
modulation level provides an improvement in PSNR of about 10 to 20 dB over fixed power fixed modulation
(16-QAM). A further reduction in complexity is achieved by using the average signal-to-noise ratio rather than the
instantaneous SNR in selecting the system parameters. |
| format | Article |
| id | doaj-art-7adb572a824445dfbde11a9a97225fce |
| institution | Kabale University |
| issn | 2090-7141 2090-715X |
| language | English |
| publishDate | 2012-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-7adb572a824445dfbde11a9a97225fce2025-02-03T06:01:20ZengWileyJournal of Computer Networks and Communications2090-71412090-715X2012-01-01201210.1155/2012/642649642649A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image TransmissionMohamed El-Tarhuni0Mohamed Hassan1Akram Bin Sediq2American University of Sharjah, P.O. Box 26666, Sharjah, UAEAmerican University of Sharjah, P.O. Box 26666, Sharjah, UAEDepartment of Systems and Computer Engineering Carleton University, Ottawa, Ontario, K1S 5B6, CanadaWe introduce an improved image transmission scheme over wireless channels with flat Rayleigh fading. The proposed scheme jointly optimizes bit power and modulation level to maximize the peak signal-to-noise ratio (PSNR) of the reconstructed image and hence improves the perceptual quality of the received image. In this optimization process, the significance of bits with regard to the overall quality of the image is exploited. The optimality of the proposed algorithm is demonstrated using the Lagrange method and verified through an iterative offline exhaustive search algorithm. For practical implementation, a look-up table is used at the transmitter for assigning the bit power and modulation level to each bit stream according to the received signal-to-noise ratio (SNR) observed at the receiver. The proposed scheme has low complexity since the look-up table is computed offline, only once, and used for any image which makes it suitable for devices with limited processing capability. Analytical and simulation results show that the proposed scheme with jointly optimized bit power and variable modulation level provides an improvement in PSNR of about 10 to 20 dB over fixed power fixed modulation (16-QAM). A further reduction in complexity is achieved by using the average signal-to-noise ratio rather than the instantaneous SNR in selecting the system parameters.http://dx.doi.org/10.1155/2012/642649 |
| spellingShingle | Mohamed El-Tarhuni Mohamed Hassan Akram Bin Sediq A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission Journal of Computer Networks and Communications |
| title | A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission |
| title_full | A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission |
| title_fullStr | A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission |
| title_full_unstemmed | A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission |
| title_short | A Jointly Optimized Variable M-QAM and Power Allocation Scheme for Image Transmission |
| title_sort | jointly optimized variable m qam and power allocation scheme for image transmission |
| url | http://dx.doi.org/10.1155/2012/642649 |
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