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Minimizing the average achievable distortion using multi-layer coding approach in two-hop networks
Annals of Telecommunications ( IF 1.9 ) Pub Date : 2020-10-16 , DOI: 10.1007/s12243-020-00812-0
Sayed Ali Khodam Hoseini , Soroush Akhlaghi , Mina Baghani

Minimizing the average achievable distortion (AAD) of a Gaussian source at the destination of a two-hop block fading relay channel is studied in this paper. The communication is carried out through the use of a Decode and Forward (DF) relay with no source-destination direct links. The associated receivers of both hops are assumed to be aware of the corresponding channel state information (CSI), while the transmitters are unaware of their corresponding CSI. The current paper explores the effectiveness of incorporating the successive refinement source coding together with multi-layer channel coding in minimizing the AAD. In this regard, the closed form and optimal power allocation policy across code layers of the second hop is derived, and using a proper curve fitting approach, a close-to-optimal power allocation policy associated with the first hop is devised. It is numerically shown that the DF strategy closely follows the Amplify and Forward (AF) relaying, while there is a sizable gap between the AAD of multi-layer coding and single-layer source coding.



中文翻译:

在两跳网络中使用多层编码方法将平均可获得的失真降至最低

本文研究了如何使两跳块衰落中继信道目的地的高斯源的平均可实现失真(AAD)最小化。通过使用不带源-目标直接链接的解码和转发(DF)中继来进行通信。假定两个跃点的相关接收器都知道相应的信道状态信息(CSI),而发送器却不知道其相应的CSI。本文探讨了在最小化AAD方面将连续精炼源编码与多层信道编码结合在一起的有效性。在这方面,得出了第二跳的代码层之间的闭合形式和最佳功率分配策略,并使用适当的曲线拟合方法,设计了与第一跳相关的接近最佳的功率分配策略。数值显示,DF策略紧随放大转发(AF)中继,而在多层编码的AAD和单层源编码之间有相当大的差距。

更新日期:2020-10-17
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