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相关论文: Polar Codes with Integrated Probabilistic Shaping …

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Polar codes are a family of capacity-achieving codes that have explicit and low-complexity construction, encoding, and decoding algorithms. Decoding of polar codes is based on the successive-cancellation decoder, which decodes in a bit-…

信息论 · 计算机科学 2018-03-06 Boaz Shuval , Ido Tal

A multilevel coded modulation scheme is studied that uses solely binary polar codes and Honda-Yamamoto probabilistic shaping. The scheme is shown to achieve the capacity of discrete memoryless channels with input alphabets of cardinality a…

信息论 · 计算机科学 2022-08-11 Constantin Runge , Thomas Wiegart , Diego Lentner , Tobias Prinz

In this paper, a new four-dimensional 64-ary polarization ring switching (4D-64PRS) modulation format with a spectral efficiency of 6 bit/4D-sym is introduced. The format is designed by maximizing the generalized mutual information (GMI)…

信号处理 · 电气工程与系统科学 2019-06-07 Bin Chen , Chigo Okonkwo , Hartmut Hafermann , Alex Alvarado

Polar coding is a recently proposed coding technique that can provably achieve the channel capacity. The polar code structure, which is based on the original 2x2 generator matrix, polarises the channels, i.e., a portion of the channel…

信息论 · 计算机科学 2019-01-08 Berksan Serbetci , Ali Emre Pusane

The definition of polar codes given by Arikan is explicit, but the construction complexity is an issue. This is due to the exponential growth in the size of the output alphabet of the bit-channels as the codeword length increases. Tal and…

信息论 · 计算机科学 2013-05-29 Arash Ghayoori , T. Aaron Gulliver

Systematic polar codes are shown to outperform non-systematic polar codes in terms of the bit-error-rate (BER) performance. However theoretically the mechanism behind the better performance of systematic polar codes is not yet clear. In…

信息论 · 计算机科学 2015-04-17 Liping Li , Wenyi Zhang , Yanjun Hu

Polar codes are constructed based on the reliability of sub-channels resulting from the polarization effect. However, this information-theoretic construction approach leads to a poor weight distribution. To address this issue,…

信息论 · 计算机科学 2025-06-19 Mohammad Rowshan , Vlad-Florin Dragoi

A pruned variant of polar coding is reinvented for all binary erasure channels. For small $\varepsilon>0$, we construct codes with block length $\varepsilon^{-5}$, code rate $\text{Capacity}-\varepsilon$, error probability $\varepsilon$,…

信息论 · 计算机科学 2018-12-20 Hsin-Po Wang , Iwan Duursma

We use prefix-free code distribution matching (PCDM) for rate matching (RM) in some 5G New Radio (NR) deployment scenarios, realizing a wide range of information rates from 1.4 to 6.0 bit/symbol in fine granularity of 0.2 bit/symbol. We…

信号处理 · 电气工程与系统科学 2020-01-17 Junho Cho , Ori Shental

Polar encoding, described by Arikan in IEEE Transactions on Information Theory, Vol. 55, No. 7, July 2009, was a milestone for telecommunications. A Polar code distributes information among high and low-capacity channels, showing the…

信息论 · 计算机科学 2025-07-29 Geraldo A. Barbosa

Performance and complexity of sequential decoding of polarization-adjusted convolutional (PAC) codes is studied. In particular, a performance and computational complexity comparison of PAC codes with 5G polar codes and convolutional codes…

信息论 · 计算机科学 2020-12-18 Mohsen Moradi , Amir Mozammel , Kangjian Qin , Erdal Arikan

In this work, we investigate the performance of polar codes with the assistance of feedback in communication systems. Although it is well known that feedback does not improve the capacity of memoryless channels, we show that the finite…

信息论 · 计算机科学 2026-04-13 Ling Liu , Qi Cao , Liping Li , Baoming Bai

This paper focuses on an improved Gaussian approximation (GA) based construction of polar codes with successive cancellation (SC) decoding over an additive white Gaussian noise (AWGN) channel. Arikan has proven that polar codes with…

信息论 · 计算机科学 2020-10-08 Hideki Ochiai , Patrick Mitran , H. Vincent Poor

A hybrid automatic repeat request scheme with Chase combing (HARQ-CC) of polar codes is proposed. The existing analysis tools of the underlying rate-compatible punctured polar (RCPP) codes for additive white Gaussian noise (AWGN) channels…

信息论 · 计算机科学 2014-01-13 Kai Chen , Kai Niu , Zhiqiang He , Jiaru Lin

Polar codes, introduced by Arikan, achieve symmetric capacity of any discrete memoryless channels under low encoding and decoding complexity. Recently, non-binary polar codes have been investigated. In this paper, we calculate error…

信息论 · 计算机科学 2010-07-22 Ryuhei Mori , Toshiyuki Tanaka

Parallel, additive white Gaussian noise (AWGN) channels with an average sum power constraint are considered. It is shown how the waterfilling Shannon capacity can be approached by higher order modulation and probabilistic amplitude shaping…

信息论 · 计算机科学 2018-04-06 Fabian Steiner , Georg Böcherer , Patrick Schulte

Multi-numerology waveform based 5G New Radio (NR) systems offer great flexibility for different requirements of users and services. Providing fairness between users is not an easy task due to inter-numerology interference (INI) between…

信号处理 · 电气工程与系统科学 2019-06-14 Ahmet Yazar , Hüseyin Arslan

Over any discrete memoryless channel, we build codes such that: for one, their block error probabilities and code rates scale like random codes'; and for two, their encoding and decoding complexities scale like polar codes'. Quantitatively,…

信息论 · 计算机科学 2020-12-14 Hsin-Po Wang , Iwan Duursma

Probabilistic shaping of quadrature amplitude modulation (QAM) is used to enhance the sensitivity of an optical communication system. Sensitivity gains of 0.43 dB and 0.8 dB are demonstrated in back-to-back experiments by shaping of 16QAM…

信息论 · 计算机科学 2016-01-19 Tobias Fehenberger , Domaniç Lavery , Robert Maher , Alex Alvarado , Polina Bayvel , Norbert Hanik

We numerically and experimentally investigate the laser phase noise tolerance of probabilistically shaped (PS) and uniformly shaped (US) quadrature amplitude modulation (QAM) signals. In the simulations, we compare PS-64QAM to US-16QAM,…

信号处理 · 电气工程与系统科学 2020-12-16 Takeo Sasai , Asuka Matsushita , Masanori Nakamura , Seiji Okamoto , Fukutaro Hamaoka , Yoshiaki Kisaka