Compute–Forward Multiple Access (CFMA): Practical Implementations.
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| Title: | Compute–Forward Multiple Access (CFMA): Practical Implementations. |
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| Authors: | Sula, Erixhen, Zhu, Jingge, Pastore, Adriano, Lim, Sung Hoon, Gastpar, Michael |
| Source: | IEEE Transactions on Communications; Feb2019, Vol. 67 Issue 2, p1133-1147, 15p |
| Subject Terms: | MULTIPLE access protocols (Computer network protocols), INTERFERENCE channels (Telecommunications), LOW density parity check codes, SUM-product algorithms, SEQUENTIAL decoding, MATHEMATICAL optimization |
| Abstract: | We present a practical strategy that aims to attain rate points on the dominant face of the multiple access channel capacity using a standard low complexity decoder. This technique is built upon recent theoretical developments of Zhu and Gastpar on compute–forward multiple access which achieves the capacity of the multiple access channel using a sequential decoder. We illustrate this strategy with off-the-shelf LDPC codes. In the first stage of decoding, the receiver first recovers a linear combination of the transmitted codewords using the sum-product algorithm (SPA). In the second stage, by using the recovered sum-of-codewords as side information, the receiver recovers one of the two codewords using a modified SPA, ultimately recovering both codewords. The main benefit of recovering the sum-of-codewords instead of the codeword itself is that it allows to attain points on the dominant face of the multiple access channel capacity without the need of rate-splitting or time sharing while maintaining a low complexity in the order of a standard point-to-point decoder. This property is also shown to be crucial for some applications, e.g., interference channels. For all the simulations with single-layer binary codes, our proposed practical strategy is shown to be within 1.7 dB of the theoretical limits, without explicit optimization on the off-the-self LDPC codes. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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