Li, Y;
Chen, Z;
Liu, G;
Wu, YC;
Wong, KK;
(2021)
Learning to Construct Nested Polar Codes: An Attention-Based Set-to-Element Model.
IEEE Communications Letters
10.1109/LCOMM.2021.3114118.
(In press).
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Abstract
As capacity-achieving codes under successive cancellation (SC) decoding, nested polar codes have been adopted in 5G enhanced mobile broadband. To optimize the performance of the code construction under practical decoding, e.g. SC list (SCL) decoding, artificial intelligence based methods have been explored in the literature. However, the structure of nested polar codes has not been fully exploited for code construction. To address this issue, this letter transforms the original combinatorial optimization problem for the construction of nested polar codes into a policy optimization problem for sequential decision, and proposes an attention-based set-to-element model, which incorporates the nested structure into the policy design. Based on the proposed architecture for the policy, a gradient based algorithm for code construction and a divide-and-conquer strategy for parallel implementation are further developed. Simulation results demonstrate that the proposed construction outperforms the state-of-the-art nested polar codes for SCL decoding.
Type: | Article |
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Title: | Learning to Construct Nested Polar Codes: An Attention-Based Set-to-Element Model |
Open access status: | An open access version is available from UCL Discovery |
DOI: | 10.1109/LCOMM.2021.3114118 |
Publisher version: | https://doi.org/10.1109/LCOMM.2021.3114118 |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
Keywords: | Nested polar codes,learning to optimize, neural networks, attention mechanism |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng |
URI: | https://discovery.ucl.ac.uk/id/eprint/10136412 |



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