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Modeling the lossy transmission of correlated sources in multiple access fading channels

机译:在多个接入衰落信道中对相关源的有损传输进行建模

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In this paper, we develop accurate distortion models for the lossy transmission of two correlated sources in a multiple access Rayleigh fading channel. We focus on a class of real-life communication systems, where the source and channel coders have already been designed separately and can only be configured during the system operation. We investigate three different source coding schemes: distributed source coding (DSC), layered source coding, and independent compression through quantization. With the later scheme the sources are jointly decoded with minimum mean square error (MMSE) estimation at the receiver. We also consider two different transmission schemes: Orthogonal transmissions and interfering transmissions decoded with a successive interference cancellation (SIC) decoder. Our final closed-form analytical models are used to determine the optimal combination of source coding and transmission schemes, as well as their optimal configuration. Hence, we exercise joint source and channel coding (JSCC) by optimizing the system configuration. Through simulations, we first validate the analytical model and illustrate the performance of different schemes. Finally, we demonstrate the JSCC gains achieved by our system.
机译:在本文中,我们开发了精确的失真模型,用于在多路访问瑞利衰落信道中两个相关源的有损传输。我们专注于一类实际的通信系统,其中源编码器和通道编码器已经分别设计,并且只能在系统运行期间进行配置。我们研究了三种不同的源编码方案:分布式源编码(DSC),分层源编码和通过量化的独立压缩。使用后一种方案,在接收机处以最小均方误差(MMSE)估计对源进行联合解码。我们还考虑了两种不同的传输方案:正交传输和使用连续干扰消除(SIC)解码器解码的干扰传输。我们最终的闭式分析模型用于确定源编码和传输方案的最佳组合,以及它们的最佳配置。因此,我们通过优化系统配置来执行联合源代码和通道编码(JSCC)。通过仿真,我们首先验证分析模型并说明不同方案的性能。最后,我们演示了我们的系统所获得的JSCC收益。

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