A novel scaling and early stopping mechanism for LTE turbo code based on regression analysis

Fowdur, Tulsi Pawan; Beeharry, Yogesh; Soyjaudah, K. M. S.

doi:10.1007/s12243-016-0514-y

Cited by 14 publications

(12 citation statements)

References 20 publications

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“…The symbols used in Fig. 3 are defined as follows: r0 t : received noisy information pertaining to the systematic information from the transmitter r0 t : recieved noisy information pertaining to the interleaved systematic information from the transmitter r1 t : received noisy information pertaining to the upper parity information from the transmitter r2 t : received noisy information pertaining to the lower parity information from the transmitter P r{C i }: A-priori source statistics Λ A detailed explanation together with equations for JSCD and regression based extrinsic information scaling with binary LTE Turbo codes are given in [5,8,12]. Based on the equations provided independently in the different works, a new equation is presented for the computation of the extrinsic LLR in the first decoder.…”

Section: Bit Orderingmentioning

confidence: 99%

“…Several communication standards have adopted Turbo codes as the error correcting code. For example, mobile telephony standards like 3G and 4G make extensive use of Turbo codes [5,6]. Joint Source Channel Decoding (JSCD) schemes [7] significantly improve the error performance of communication systems.…”

Section: Introductionmentioning

confidence: 99%

“…Results demonstrate that the MAP algorithm performance could be improved using eic <1 to scale the extrinsic information. In [5], a new extrinsic information scaling mechanism for enhancing the error performance of Long Term Evolution (LTE) Turbo codes has been presented. Simulations have been performed using Quadrature Phase Shift Keying (QPSK) modulation and 16-QAM with code-rates 1/3 and 1/2.…”

Section: Introductionmentioning

confidence: 99%

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Performance of Hybrid Binary and Non-Binary Turbo Decoding Schemes for LTE and DVB-RCS Standards

2019

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Binary and Non-Binary Turbo codes have been deployed in several digital communication standards to perform error correction. In order to enhance their error performance, several schemes such as Joint Source Channel Decoding (JSCD), extrinsic information scaling mechanisms, and prioritized QAM constellation mapping have been proposed for improving the error performance of error correcting codes. In this paper, hybrid schemes comprising of JSCD, regression based extrinsic information scaling, and prioritized 16-Quadrature Amplitude Modulation (QAM) with binary and non-binary Turbo codes have been presented. Significant improvement in error performance has been observed with the proposed scheme as compared to the conventional one. The hybrid scheme in the case of binary symmetric and asymmetric LTE Turbo codes, and triple binary Turbo codes outperform the conventional scheme by 0.8 dB on average. With duo-binary Turbo codes for the DVB-RCS standard, the hybrid scheme outperforms the conventional one with an average gain of 0.9 dB in BER performance.

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Section: Bit Orderingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance of Hybrid Binary and Non-Binary Turbo Decoding Schemes for LTE and DVB-RCS Standards

2019

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“…Specifically, stopping criteria help reduce the iteration number in iterative turbo decoding while preserving turbo code efficiency [17], [18]. Most stopping criteria have been developed based on the frame level [7], [9], [14], and bit/window level [11], [12], [16]. Soft-decision-based stopping criteria have become a popular choice for output decisions at the frame level [10], [19], [20].…”

Section: Introductionmentioning

confidence: 99%

The effects of the cross-entropy stopping criterion and quadrature amplitude modulation on iterative turbo decoding performance

Mohamad

Nasir

Anas³

2021

IJEECS

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One of the most often-used stopping criteria is the cross-entropy stopping criterion (CESC). The CESC can stop turbo decoder iterations early by calculating mutual information improvements while maintaining bit error rate (BER) performance. Most research on iterative turbo decoding stopping criteria has utilised low-modulation methods, such as binary phase-shift keying. However, a high-speed network requires high modulation to transfer data at high speeds. Hence, a high modulation technique needs to be integrated into the CESC to match its speed. Therefore, the present paper investigated and analysed the effects of the CESC and quadrature amplitude modulation (QAM) on iterative turbo decoding. Three thresholds were simulated and tested under four situations: different code rates, different QAM formats, different code generators, and different frame sizes. The results revealed that in most situations, the use of CESC is suitable only when the signal-to-noise ratio (SNR) is high. This is because the CESC significantly reduces the average iteration number (AIN) while maintaining the BER. The CESC can terminate early at a high SNR and save more than 40% AIN compared with the fixed stopping criterion. Meanwhile, at a low SNR, the CESC fails to terminate early, which results in maximum AIN.

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“…Building upon the work of [15], the authors of [16] presented a similar mechanism as that of the work in [15] with similar performance for image transmission and retrieval over wireless channel. In [17], the authors proposed a new extrinsic information scaling and early stopping mechanism for long term evolution (LTE) Turbo codes. The scaling factor is obtained by computing the Pearson's correlation coefficient between the extrinsic and a posteriori loglikelihood ratio (LLR) at every half-iteration.…”

Section: Introductionmentioning

confidence: 99%

Performance of Extrinsic Information Scaling Mechanisms with Duo-Binary Turbo Codes

Beeharry¹,

Pawan²,

S.³

2017

JESTR

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Non-binary Turbo codes have gained significant research interest following the adoption of duo-binary Turbo codes in the Digital Video Broadcasting with Return Channel via Satellite (DVB-RCS) standard. In order to meet the Quality of Service (QoS) requirements of applications in communication systems, error control codes with enhanced error performance and low decoding complexity are highly desired. In this paper, the performance analysis of duo-binary Turbo codes using Sign Difference Ratio (SDR) and Regression analysis based extrinsic information scaling mechanisms has been performed. Different techniques for computing the scaling coefficients using the symbol and bit level Log-Likelihood Ratios (LLRs) have been presented and analyzed. Results show that the best gain in error performance is obtained using the mean of scaling coefficients computed from bit-level LLRs with both SDR and Regression based algorithms. The schemes give an average gain of 0.1 dB as compared to the conventional scheme.

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A novel scaling and early stopping mechanism for LTE turbo code based on regression analysis

Cited by 14 publications

References 20 publications

Performance of Hybrid Binary and Non-Binary Turbo Decoding Schemes for LTE and DVB-RCS Standards

Performance of Hybrid Binary and Non-Binary Turbo Decoding Schemes for LTE and DVB-RCS Standards

The effects of the cross-entropy stopping criterion and quadrature amplitude modulation on iterative turbo decoding performance

Performance of Extrinsic Information Scaling Mechanisms with Duo-Binary Turbo Codes

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