Low-Complexity Soft-Output Decoding of Polar Codes
The state-of-the-art soft-output decoder for polar codes is a message-passing algorithm based on belief propagation, which performs well at the cost of high processing and storage requirements. In this paper, we propose a low-complexity alternative for soft-output decoding of polar codes that offers...
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| Veröffentlicht in: | IEEE journal on selected areas in communications 2014-05, Vol.32 (5), p.958-966 |
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| container_title | IEEE journal on selected areas in communications |
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| creator | Fayyaz, Ubaid U. Barry, John R. |
| description | The state-of-the-art soft-output decoder for polar codes is a message-passing algorithm based on belief propagation, which performs well at the cost of high processing and storage requirements. In this paper, we propose a low-complexity alternative for soft-output decoding of polar codes that offers better performance but with significantly reduced processing and storage requirements. In particular we show that the complexity of the proposed decoder is only 4% of the total complexity of the belief propagation decoder for a rate one-half polar code of dimension 4096 in the dicode channel, while achieving comparable error-rate performance. Furthermore, we show that the proposed decoder requires about 39% of the memory required by the belief propagation decoder for a block length of 32768. |
| doi_str_mv | 10.1109/JSAC.2014.140515 |
| format | Article |
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| language | eng |
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| source | IEL |
| subjects | Algorithms Belief propagation Blocking Channels Complexity Complexity theory Decoders Decoding Iterative decoding Memory management Polar codes Receivers soft-output decoding State of the art turbo equalization |
| title | Low-Complexity Soft-Output Decoding of Polar Codes |
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