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Concatenated Signal Codes with Applications to Compute and Forward

机译:使用应用程序计算和转发的连接信号代码

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We present a new coding scheme based on concatenating a newly introduced class of lattice codes called signal codes with interleaved Low Density Parity Check (LDPC)codes. These codes are shown to possess a special algebraic structure which makes them suitable for recovering linear combinations (over a finite field) of the transmitted signals in a multiple access channel. This facilitates their use as a coding scheme for the recently proposed compute and forward paradigm. The decoding algorithm is based on an appropriate combination of the stack decoder with a message passing algorithm. Simulation results show that our proposed scheme can approach the uniform input AWGN capacity within 1.5 db, which is a 2 db improvement compared to using only signal codes when decoding using a stack algorithm with the same stack size. Simulation results for our proposed scheme applied to compute and forward are also presented.
机译:我们提出了一种基于连接的新的编码方案,基于连接的新引入的晶格代码,称为信号代码,其具有交织的低密度奇偶校验(LDPC)代码。这些代码被示出具有特殊的代数结构,这使得它们适合于在多个接入信道中恢复发送信号的线性组合(在有限的领域)。这有助于将其用作最近建议的计算和转发范式的编码方案。解码算法基于堆栈解码器的适当组合,具有消息传递算法。仿真结果表明,我们提出的方案可以在1.5 dB内接近均匀输入AWGN容量,而使用具有相同堆栈大小的堆栈算法在解码时仅使用信号码相比,这是2 dB的改进。还提出了应用于计算和转发的建议计划的仿真结果。

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