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Article

Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access †

Institute for Digital Communications, Friedrich-Alexander Universität Erlangen-Nürnberg, 91058 Erlangen, Germany
The Proceedings of the IEEE International Conference on Communications (ICC), Virtual/Montreal, 14–23 June 2021.
Academic Editors: Benjamin M. Zaidel and Ori Shental
Entropy 2021, 23(5), 539; https://doi.org/10.3390/e23050539
Received: 12 March 2021 / Revised: 15 April 2021 / Accepted: 23 April 2021 / Published: 28 April 2021
In 2017, Polyanskiy showed that the trade-off between power and bandwidth efficiency for massive Gaussian random access is governed by two fundamentally different regimes: low power and high power. For both regimes, tight performance bounds were found by Zadik et al., in 2019. This work utilizes recent results on the exact block error probability of Gaussian random codes in additive white Gaussian noise to propose practical methods based on iterative soft decoding to closely approach these bounds. In the low power regime, this work finds that orthogonal random codes can be applied directly. In the high power regime, a more sophisticated effort is needed. This work shows that power-profile optimization by means of linear programming, as pioneered by Caire et al. in 2001, is a promising strategy to apply. The proposed combination of orthogonal random coding and iterative soft decoding even outperforms the existence bounds of Zadik et al. in the low power regime and is very close to the non-existence bounds for message lengths around 100 and above. Finally, the approach of power optimization by linear programming proposed for the high power regime is found to benefit from power imbalances due to fading which makes it even more attractive for typical mobile radio channels. View Full-Text
Keywords: multiple-access; successive cancellation; iterative decoding; finite blocklength; block error probability; random coding; AWGN; low-latency communications; spectral efficiency; non-othogonal multiple-access multiple-access; successive cancellation; iterative decoding; finite blocklength; block error probability; random coding; AWGN; low-latency communications; spectral efficiency; non-othogonal multiple-access
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MDPI and ACS Style

Müller, R.R. Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access. Entropy 2021, 23, 539. https://doi.org/10.3390/e23050539

AMA Style

Müller RR. Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access. Entropy. 2021; 23(5):539. https://doi.org/10.3390/e23050539

Chicago/Turabian Style

Müller, Ralf R. 2021. "Soft Interference Cancellation for Random Coding in Massive Gaussian Multiple-Access" Entropy 23, no. 5: 539. https://doi.org/10.3390/e23050539

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