Performance Analysis of Protograph LDPC Codes Over Large-Scale MIMO Channels With Low-Resolution ADCs

Nguyen, Thuy Van; Vu, Hieu D.; Nguyen, Diep N.; Nguyen, Hieu Trung

doi:10.1109/access.2019.2944567

Cited by 12 publications

(38 citation statements)

References 31 publications

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“…One 1-bit ADC applies for the in-phase (real) signal, and the other 1-bit ADC is for the quadrature (imaginary). Finally, to restore the original information bits, the quantized version of the received signal is fed to the joint MIMO detection and protograph LDPC decoding algorithm [13]. In the next sections, we will summarize the 1-bit quantization model and the joint MIMO detection and protograph LDPC decoding algorithm.…”

Section: Channel Modelmentioning

confidence: 99%

“…The hardware cost and power consumption of ADCs increase exponentially with the ADC resolution. One viable solution to deal with these challenges is to replace highresolution ADCs with low-resolution ADCs [7][8][9][10][11][12][13][14][15].…”

Section: Introductionmentioning

confidence: 99%

“…Regarding past works related to LS-MIMO systems with low-resolution ADC module [10,13,15], we found that there is a limited number of previous research works that study the performance of the LDPC codes in these LS-MIMO systems where 1-bit ADC exploited. Recently, a related study by Vu et al [13] had proposed a method to analyze and evaluate a joint graph of P-LDPC and LS-MIMO by exploiting the protograph based extrinsic information exchange chart (PEXIT) for a joint scheme of protograph LDPC decoder and the belief propagation massive MIMO detection. The study has shown the significant gain of a joint iterative MIMO detection and LDPC decoding scheme compared with past coded LS-MIMO detection methods.…”

Section: Introductionmentioning

confidence: 99%

“…The study has shown the significant gain of a joint iterative MIMO detection and LDPC decoding scheme compared with past coded LS-MIMO detection methods. Then, Dang et al [17], extended the method of Vu et al [13], investigated the new optimized quantizer for low-bit ADC, e.g., 2-bit to 5-bit ADCs, which showed better performance over classical 3-sigma rule quantization in the traditional ADC methodology. Furthermore, the experiment results also indicated that the new quantizer provided a significant performance improvement for LS-MIMO 1-bit ADC system [18].…”

Section: Introductionmentioning

confidence: 99%

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Protograph LDPC Code Design For LS-MIMO 1-bit ADC Systems

Dang

Nguyen

2021

REV J. Electron. Commun.

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Recently, two emerging research topics are protograph low-density parity-check (P-LDPC) and large-scale multi-input multi-output (LS-MIMO) with low-resolution analog-to-digital (ADC) converters (LS-MIMO-LOW-ADC). In these directions, many research works have proposed 1-bit ADC as a good candidate for LS-MIMO systems in order to save both transmission power and circuit energy dissipation. However, we observed that previously reported P-LDPC codes might not have good performance for LS-MIMO systems with 1-bit ADC. Hence, we perform a re-design of the P-LDPC codes for the above systems in this paper. The new codes demonstrate a good coding gain from 0:3 dB at rate 1/2 to 0:5 dB at rate 2/3 in different LS-MIMO configurations with 1-bit ADC.

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Section: Channel Modelmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Protograph LDPC Code Design For LS-MIMO 1-bit ADC Systems

Dang

Nguyen

2021

REV J. Electron. Commun.

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“…Even though the latter work introduced the design framework for LS-MIMO channels, the core element of the design is based on the standard PEXIT algorithm, which is not applicable to design protograph LDPC codes [12]. Recently, Nguyen et al [31], introduced a PEXIT algorithm for LS-MIMO channels with low-resolution analog-to-digital converters (ADCs). This work was the first research attempt to handle the dynamic interaction of extrinsic information between the MIMO signal detection and the protograph LDPC decoding.…”

Section: B Related Workmentioning

confidence: 99%

On Design of Protograph LDPC Codes for Large-Scale MIMO Systems

Vu¹,

Nguyen²,

Nguyen

et al. 2020

IEEE Access

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Protograph low-density parity-check (LDPC) codes and large-scale multi-input multi-output (LS-MIMO) systems have achieved great interest with various practical applications. However, how to effectively evaluate and design protograph LDPC codes for LS-MIMO systems remains a challenging yet critical problem, especially for low-latency applications. To solve that design challenge, the protograph extrinsic information transfer chart (PEXIT) algorithm for LS-MIMO systems, so-called LS-MIMO-PEXIT algorithm, is first derived based on the mutual information functions of messages that are passed on the joint MIMO detection and LDPC decoding graph. The proposed LS-MIMO-PEXIT algorithm plays a vital role in the optimization process of designing new protograph LDPC codes, tailored for LS-MIMO communications systems. Experiment results demonstrate that the analytical results based on the LS-MIMO-PEXIT algorithm are in good agreement with the simulation results under various input constraints, including the coding rate, the number of decoding iterations, and the LS-MIMO configuration. On top of that, the new protograph LDPC codes designed using our LS-MIMO-PEXIT algorithm achieve a coding gain from 0.2 dB at a low coding rate to 0.4 dB at a high coding rate in comparison with the state-of-the-art protograph codes in the literature. Additionally, we incorporate the practical design experience and the theoretical analysis of mutual functions into a two-step procedure to search for protograph LDPC codes that do not have error-floor behavior at frame error rate (FER) or bit error rate (BER) as low as 10 −5 or 10 −7 , respectively. Together with the coding gain, the error-floor-free feature of the proposed protograph LDPC codes is vitally important for future wireless networks where the ultra-reliability is one of the critical requirements. INDEX TERMS Large-scale multiple-input multiple-output (LS-MIMO), protograph low-density paritycheck (LDPC) codes, channel coding, protograph extrinsic information transfer chart, iterative decoding threshold, low latency.

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Optimized Uniform Scalar Quantizers of Ternary ADCs for Large-Scale MIMO Communications

Nguyen¹

2021

IEEE Access

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Large-scale multiple-input multiple-output (LS-MIMO), a promising technology for the future wireless networks to boost the network capacity, unavoidably faces hardware cost and power consumption issues due to a large number of high-resolution power-hungry analog-to-digital converters (ADCs) at the receiver side. The low-resolution ADCs have recently been proven to be an effective solution to cut down the system cost. This paper studies the LS-MIMO communication systems where three-level ADCs, so-called Ternary ADCs (T-ADCs), are employed to achieve better energy efficiency in some LS-MIMO configurations. The truncation limit of the uniform scalar quantizer of the T-ADCs is optimized to minimize the quantization distortion on the LS-MIMO received signal, and thus its performance approaches that of the well-known Lloyd-Max algorithm while offering lower complexity and better robustness. Furthermore, our proposed solution is independent of the number of antennas. The LS-MIMO systems' performance with the proposed T-ADCs is substantially improved over the conventional 3-σ uniform scalar quantizer in three different performance metrics -achievable rates, iterative decoding thresholds of pragmatic protograph low-density parity-check codes (LDPC), and the frame error rate (FER)/ bit error rate (BER). Our energy efficiency investigation reveals that proposed T-ADCs attain better energy efficiency than that of the 1-bit ADCs and 2-bit ADCs when the ratio between the receiving antennas and the transmitting antennas is low and medium as the power consumption of ADCs and the transmission power are better balanced in comparison with one-bit ADCs and two-bit ADCs.

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Performance Analysis of Protograph LDPC Codes Over Large-Scale MIMO Channels With Low-Resolution ADCs

Cited by 12 publications

References 31 publications

Protograph LDPC Code Design For LS-MIMO 1-bit ADC Systems

Protograph LDPC Code Design For LS-MIMO 1-bit ADC Systems

On Design of Protograph LDPC Codes for Large-Scale MIMO Systems

Optimized Uniform Scalar Quantizers of Ternary ADCs for Large-Scale MIMO Communications

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