Abstract | ||
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Polarization weight (PW) is a novel construction method for polar codes, which results in universal reliability ordering efficiently and yields imilar performance as other channel dependent construction methods. In this paper, we interpret PW method or algorithm from a rate allocation perspective of channel polarization to show its effectiveness. Take the AWGN channel as an example, we show that the rate allocation for information bits by PW method coincides with the capacities of channel polarization. Furthermore, some properties of PW algorithm, including the universal and fractal of the reliability ordering, are illustrated, which facilitate the implementation in practice. Comprehensive simulation results with various code rates, code lengths and list sizes are also shown to validate the effectiveness of PW method. |
Year | DOI | Venue |
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2018 | 10.1109/VTCSpring.2018.8417499 | 2018 IEEE 87th Vehicular Technology Conference (VTC Spring) |
Keywords | Field | DocType |
polarization weight,efficient construction,polar codes,construction method,universal reliability,channel dependent construction methods,PW method,rate allocation perspective,channel polarization,AWGN channel,PW algorithm,reliability ordering,code rates,code lengths | Computer science,Fractal,Algorithm,Communication channel,Polarization (waves),Electronic engineering,Polar,Additive white Gaussian noise,Channel capacity,Reliability theory,Encoding (memory) | Conference |
ISBN | Citations | PageRank |
978-1-5386-6356-1 | 1 | 0.36 |
References | Authors | |
8 | 10 |
Name | Order | Citations | PageRank |
---|---|---|---|
Ying Chen | 1 | 1 | 0.36 |
Gongzheng Zhang | 2 | 3 | 1.74 |
Rong Li | 3 | 31 | 17.93 |
Xiaocheng Liu | 4 | 73 | 5.33 |
Hejia Luo | 5 | 1 | 1.72 |
Huazi Zhang | 6 | 289 | 24.91 |
Chen Xu | 7 | 3 | 1.40 |
Jian Wang | 8 | 302 | 48.27 |
Jun Wang | 9 | 9228 | 736.82 |
Yue Zhou | 10 | 1 | 0.36 |