The paper introduces a cross-layer design for transmission of Successive Refinement (SR) source code interplayed with non-orthogonal layered code, deployed over a half-duplex multi-relay Non-orthogonal Amplify-Forward (NAF) network. Assuming the Channel State Information (CSI) is not available at the source node, firstly the achievable layered Diversity-Multiplexing Tradeoff (DMT) curve is derived. Then, by taking Distortion Exponent (DE) as the figure of merit, several achievable lower bounds are proved and the optimal expected distortion performance under high Signal to Noise Ratio (SNR) approximation is explicitly obtained. It is shown that the proposed coding can achieve the Multi-Input Single-Output (MISO) upper bound under certain regions of bandwidth ratios, by which the optimal performance in these regions can be explicitly characterized. Further the non-orthogonal layered coding scheme is extended to a multi-hop MIMO Decode-Forward (DF) relay network and set of DE lower bounds is derived. Simulation results confirm the effectiveness of the proposed scheme under general SNR values and compared with its counterparts.

中文翻译：

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分层多中继非正交放大转发网络的深入研究

本文介绍了一种跨层设计，用于传输与非正交分层代码交互的连续细化 (SR) 源代码，部署在半双工多中继非正交放大转发 (NAF) 网络上。假设信道状态信息（CSI）在源节点不可用，首先导出可实现的分层分集-复用权衡（DMT）曲线。然后，通过将失真指数 (DE) 作为品质因数，证明了几个可实现的下界，并明确获得了高信噪比 (SNR) 近似下的最佳预期失真性能。结果表明，所提出的编码可以在某些带宽比区域下实现多输入单输出 (MISO) 上限，通过这些区域的最佳性能可以明确表征。此外，将非正交分层编码方案扩展到多跳 MIMO 解码转发 (DF) 中继网络，并导出 DE 下限集。仿真结果证实了所提出方案在一般 SNR 值下的有效性，并与其对应方案进行了比较。