A comparative study of polar code decoding algorithms

Hu, Man; Li, Jianping; Lv, Yansong

doi:10.1109/itoec.2017.8122551

Cited by 11 publications

(13 citation statements)

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“…For decoding part, we utilize the Log-MAP decoding algorithm and the maximum number of iteration I max = 7. The SCL decoder [22] having a block length of N = 128 is adopted for comparison purpose. Figure 5 (a) and (b) shows the BLER simulation results of the proposed scheme for the block length N = 64, and N = 256 for 3.75 kHz SCS, respectively.…”

Section: A Bler Simulation Analysismentioning

confidence: 99%

“…Polar codes were initially proposed by Arikan [18] based on the concept known as the channel polarization that theoretically achieved the capacity limit of the discrete-input memoryless channels (DMCs) with explicit construction approach. The decoding of polar codes are based on the successive cancellation (SC) [19]- [22] decoding algorithm which exhibits low complexity implementation but has a poor performance against LDPC and turbo codes, but still improving with other decoding algorithms. Similarly, the Belief propagation (BP) is another useful algorithm that improve the polar decoding performance [17], [23], [24].…”

Section: Introductionmentioning

confidence: 99%

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An Efficient Polar Coding Scheme for Uplink Data Transmission in Narrowband Internet of Things Systems

et al. 2020

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Narrowband Internet of Things (NB-IoT) is an emerging IoT cellular-based wireless technology that builds based on the existing LTE standard to extend its network coverage suited for Low Power Wide Area Network (LPWAN) connectivity. In the NB-IoT system, LTE turbo codes and Cyclic Redundancy Check (CRC) codes are adopted as the main channel coding technique for Narrowband Physical Uplink Shared Channel (NPUSCH). However, turbo codes require iterative decoding algorithm at the expense of high computation complexity of decoding hence is crucial to achieving the LPWAN requirement of NB-IoT systems. Polar codes are best suited in this regard due to its capacity approaching and complexity reduction in short block length code. In this paper, we proposed an efficient polar coding technique using the Belief Propagation (BP) decoding algorithm for uplink data transmission on the NPUSCH channel. Furthermore, the BP algorithm is incorporated with the CRC stoppage criterion to decrease the number of decoding iteration and reduce computational complexity. In this scheme, singletone numerology of NPUSCH using 3.75 kHz and 15 kHz subcarrier spacing is adopted. Then, the encoded data is generated with different NPUSCH resources. The theoretical formulation and simulation demonstrate that the proposed scheme provides better error rate performance over the adopted LTE turbo codes and other polar decoding algorithms while reducing the computational complexity. INDEX TERMS Narrowband IoT (NB-IoT), BP polar decoding algorithm, Narrowband Physical Uplink Shared Channel (NPUSCH), cyclic redundancy check (CRC), block error rate (BLER).

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Section: A Bler Simulation Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An Efficient Polar Coding Scheme for Uplink Data Transmission in Narrowband Internet of Things Systems

et al. 2020

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show abstract

“…For SNR 26 until 28 dB, information bits located in index k = [2,3,4,5,6,7,8,9]. For SNR 29 until 50 dB, information bits located in index k = [1,2,3,4,5,6,7,8].…”

Section: Bhattacharyya Parameters Analysismentioning

confidence: 99%

“…For SNR 23 until 25 dB, information bits located in index k = [4,6,7,8,10,11,12,13,14,15,16,18,19,20,21,22]. For SNR 26 until 28 dB, information bits located in index k = [2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17]. For SNR 29 until 50 dB, information bits located in index k = [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16].…”

Section: Bhattacharyya Parameters Analysismentioning

confidence: 99%