Name
Abstract | ||
|---|---|---|
Polar codes are a class of linear block codes that provably achieves channel capacity. They have been selected as a coding scheme for the control channel of enhanced mobile broadband (eMBB) scenario for 5th generation wireless communication networks (5G) and are being considered for additional use scenarios. As a result, fast decoding techniques for polar codes are essential. Previous works targeting improved throughput for successive-cancellation (SC) decoding of polar codes are semi-parallel implementations that exploit special maximum-likelihood (ML) nodes. In this work, we present a new fast simplified SC (Fast-SSC) decoder architecture. Compared to a baseline Fast-SSC decoder, our solution is able to reduce the memory requirements. We achieve this through a more efficient memory utilization, which also enables to execute multiple operations in a single clock cycle. Finally, we propose new special node merging techniques that improve the throughput further, and detail a new Fast-SSC-based decoder architecture to support merged operations. The proposed decoder reduces the operation sequence requirement by up to 39%, which enables to reduce the number of time steps to decode a codeword by 35%. ASIC implementation results with 65 nm TSMC technology show that the proposed decoder has a throughput improvement of up to 31% compared to previous Fast-SSC decoder architectures. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1007/s11265-018-1413-4 | Journal of Signal Processing Systems |
Keywords | Field | DocType |
Polar codes,Wireless communications,Successive cancellation decoding,Throughput,5G | Control channel,Wireless,Computer science,Parallel computing,Application-specific integrated circuit,Linear code,Decoding methods,Throughput,Computer hardware,Cycles per instruction,Channel capacity | Journal |
Volume | Issue | ISSN |
91 | 9 | 1939-8115 |
Citations | PageRank | References |
1 | 0.36 | 13 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Furkan Ercan | 1 | 25 | 6.43 |
| Thibaud Tonnellier | 2 | 1 | 0.36 |
| Carlo Condo | 3 | 132 | 21.40 |
| Warren J. Gross | 4 | 1106 | 113.38 |