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Adaptive UWB AV PHY IEEE 802.15.3c for compressed SPIHT image transmission

机译：用于压缩SPIHT图像传输的自适应UWB AV PHY IEEE 802.15.3c

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During the last decade, the need for visual content applications over mobile wireless environments have been progressively widespread. Motivated by the OSI layered approach, most visual applications make separation between content compression, and data transmission. Then, the received multimedia quality is degraded because of the sensitivity of the compressed stream to the transmission errors. In this paper, we propose a solution where the physical layer is scaled according to the compressed stream importance. The target application, which is visual multimedia sensor networks, motivated the use of the high-rate Ultra Wide Band (UWB) Audio Visual (AV) PHY IEEE 802.15.3c standard. We consider an embedded image compression scheme where bits are hierarchically organized, and we make different modulation, error-protection and sub-carrier assignments to them to improve the reconstructed image quality while keeping the same data-rate performance. We investigate the performance of the adaptive approach in terms of Peak Signal-to-Noise Ratio (PSNR) against Signal-to-Noise Ratio (SNR) for UWB-modeled channels. Moreover, we emphasize the gains induced by the adaptive UWB on the reconstructed image quality. It is demonstrated that dynamically assigning the symbols to sub-carriers allows a 0.5dB PSNR quality improvement while keeping the same rate is the same. Allocating different channel codes and different modulation orders improves the reconstructed PSNR by 3.SdB when Eb/N = 5dB.
机译：在过去的十年中，对移动无线环境中的可视内容应用程序的需求已逐渐普及。在OSI分层方法的推动下，大多数可视应用程序将内容压缩和数据传输分开。然后，由于压缩流对传输错误的敏感性，所接收的多媒体质量下降。在本文中，我们提出了一种根据压缩流的重要性对物理层进行缩放的解决方案。目标应用是视觉多媒体传感器网络，它促使人们使用高速率超宽带（UWB）视听（AV）PHY IEEE 802.15.3c标准。我们考虑一种将位分层组织的嵌入式图像压缩方案，并对它们进行不同的调制，错误保护和子载波分配，以提高重建的图像质量，同时保持相同的数据速率性能。我们针对UWB建模的信道，根据峰值信噪比（PSNR）对信噪比（SNR）来研究自适应方法的性能。此外，我们强调了自适应UWB所带来的增益对重构图像质量的影响。已经证明，将符号动态分配给子载波可以在保持相同速率相同的同时提高0.5dB的PSNR质量。当Eb / N = 5dB时，分配不同的信道代码和不同的调制阶数可使重构的PSNR提高3.SdB。

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