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Asymmetric compute-and-forward

机译:不对称计算和前进

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摘要

This paper generalizes the compute-and-forward framework to allow for unequal (or asymmetric) power allocation across transmitters. Each transmitter's codebook is formed using a fine lattice that is chosen to ensure decodability as well as a coarse lattice that is chosen to enforce the power constraint. The employed lattices are drawn from a nested lattice chain, which makes it possible for the receivers to decode integerlinear combinations of the transmitted codewords. Like the original compute-and-forward framework, this scheme has a natural interpretation in terms of sending linear combinations of messages that are vectors over a finite field. Interestingly, each transmitter's power constraint and noise tolerance can be viewed in terms of restrictions on the available “signal levels”. That is, transmitters with less power must send zeros along higher order levels and transmitters that need to tolerate more noise must send zeros along lower order levels.
机译:本文概括了计算和前进框架,以允许跨发射器的不等(或不对称)功率分配。每个发射器的码本使用选择精细的晶格形成,以确保可解码性以及选择以强制执行功率约束的粗格式。使用的格子从嵌套的晶格链中汲取,这使得接收器可以解码传输的码字的整数组合。与原始计算和前进框架一样,该方案就发送了在有限字段上的vectors的线性组合而具有自然解释。有趣的是,可以以可用的“信号电平”的限制来查看每个发射器的功率约束和噪声容限。也就是说,具有较少功率的发射器必须沿着更高阶的级别发送零,并且需要容忍更多噪声的发射器必须沿着较低的订单电平发送零。

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