An overview of channel coding for 5G NR cellular communications

Bae, Jung Hyun; Abotabl, Ahmed Attia; Lin, Hsien-Ping; Song, Kee-Bong; Lee, Jung Won

doi:10.1017/atsip.2019.10

Cited by 113 publications

(79 citation statements)

References 32 publications

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“…Smaller Z values also provide more data parallelism and therefore are favored by Agora. When the SNR is lower than 10 dB, BER drops significantly, which matches the results reported in the literature [28]. In Figure 12(b), we show the impact of code rate with Z = 104 and up to 5 iterations.…”

Section: Ldpc Decodingsupporting

confidence: 87%

Agora

Ding

Doost-Mohammady

Kalia

et al. 2020

Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies

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Massive multiple-input multiple-output (MIMO) is a key technology in 5G New Radio (NR) to improve spectral efficiency. A major challenge in its realization is the huge amount of real-time computation required. All existing massive MIMO baseband processing solutions use dedicated and specialized hardware like FPGAs, which can efficiently process baseband data but are expensive, inflexible and difficult to program. In this paper, we show that a software-only system called Agora can handle the high computational demand of real-time massive MIMO baseband processing on a single manycore server. To achieve this goal, we identify the rich dimensions of parallelism in massive MIMO baseband processing, and exploit them across multiple CPU cores. We optimize Agora to best use CPU hardware and software features, including SIMD extensions to accelerate computation, cache optimizations to accelerate data movement, and kernel-bypass packet I/O. We evaluate Agora with up to 64 antennas and show that it meets the data rate and latency requirements of 5G NR. CCS CONCEPTS • Networks → Wireless access points, base stations and infrastructure.

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Section: Ldpc Decodingsupporting

confidence: 87%

Agora

Ding

Doost-Mohammady

Kalia

et al. 2020

Proceedings of the 16th International Conference on Emerging Networking EXperiments and Technologies

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“…First, we formed the distribution of powers in (2) based on a uniform law for two consistently selected test vertices of the Tanner graph. As a result, the task of searching for irregular codes is reduced to determining only the distribution of powers of the symbol vertices of the Tanner graph (1).…”

Section: The Principles Of Construction and The Parameters Of Irregulmentioning

confidence: 99%

“…In addition, to limit the search area to the dimensionality of l-1, it is advisable to represent the l-th coefficient in (5) as follows 1 1 1 .…”

Section: The Principles Of Construction and The Parameters Of Irregulmentioning

confidence: 99%

“…To ensure the predefined reliability of information transfer, telecommunication technologies employ a variety of interference-resistant code structures. A special feature of the next-generation wireless telecommunications systems is the dominant use of codes with a low density of parity checks [1]. The peculiarity of these codes is the sparseness of the verification matrix, which makes it possible to use an iterative decoding method based on trust propagation.…”

Section: Introductionmentioning

confidence: 99%

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Performance analysis of the bioinspired method for optimizing irregular codes with a low density of parity checks

Штомпель

Prykhodko

Шефер

et al. 2020

EEJET

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34threshold effect, above which the probability of proper decoding approaches zero [2].Codes with a low density of parity checks almost reach the throughput limit for different communication channel models. They also demonstrate better probability rates of iterative decoding errors when increasing a signal/noise ratio (an "error floor" effect), as well as less difficulty in the technical implementation of the codec compared to turbocodes [3].The graphical representation of this class of codes is based on Tanner graphs. In this case, the verification matrix of some code corresponds to the incident matrix of the corre-

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“…Data protection, both in data and control channels in 5G, is of the utmost importance. The data channel of a 5G system uses Low Density Parity Check (LDPC) while the control channel uses Polar code [2]. Polar code is the first channel code that has been proven to obtain Shannon capacity for Binary Input Discrete Memoryless Channel (BIDMC) using a simple decoder [3], [4].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of CRC-Polar Concatenated Codes

et al. 2020

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Polar code has been proven to obtain Shannon capacity for Binary Input Discrete Memoryless Channel (BIDMC) and its use has been proposed as the channel coding in 5G technology. However, its performance is limited in finite block length, compared to Turbo or LDPC codes. This research proposes the use of various CRC codes to complement Polar codes with finite block length and analyses the performance based on Block Error Rate (BLER) to Es/N0 (dB). The CRC codes used are of degrees 11 and 24, with 3 different polynomial generators for each degree. The number of bits in the information sequence is 32. The list sizes used are 1, 2, 4, and 8. Simulation results show that the concatenation of CRC and Polar codes will yield good BLER vs Es/N0 performance for short blocks of codeword, with rates 32/864 and 54/864. Concatenating CRC codes with Polar codes will yield a BLER performance of 10-2 with Es/N0 values of -9.1 to -7.5 dB when CRC codes of degree 11 is used, depending on the SC list used. The use of CRC codes of degree 24 enables a BLER performance of 10-2 with Es/N0 values of -7 to -6 dB when the SC list used is 1 or 2. The use of CRC codes of degree 24 combined with SC list with sizes 4 or 8 will improve the BLER performance to 10-2 with Es/N0 values of -8 to -7.5 dB

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An overview of channel coding for 5G NR cellular communications

Cited by 113 publications

References 32 publications

Agora

Agora

Performance analysis of the bioinspired method for optimizing irregular codes with a low density of parity checks

Performance Analysis of CRC-Polar Concatenated Codes

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