Decoding of LDPC Codes for 5G Standard Using Source Distribution

Ovchinnikov, A. A.; Fominykh, A. A.

doi:10.1109/weconf48837.2020.9131454

Cited by 1 publication

(3 citation statements)

References 13 publications

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“…But on the other hand, extremely high transmitting data could cause many errors. These errors may damage the data; therefore, we could not obtain correct information [6]. One of the greatest advantages of using LDPC codes is their ability to achieve a near-Shannon limit performance with low decoding complexity.…”

Section: History Of Ldpcmentioning

confidence: 99%

“…One of the greatest advantages of using LDPC codes is their ability to achieve a near-Shannon limit performance with low decoding complexity. This means that LDPC codes can provide reliable communication even at low signal-to-noise ratios (SNRs) [6]. LDPC decoding is a computationally intensive process that involves iteratively updating the probabilities of transmitted bits based on the received signal.…”

Section: History Of Ldpcmentioning

confidence: 99%

“…LDPC codes are a class of linear error-correcting codes capable of achieving near-Shannon limit performance with low decoding complexity. In this paper, we explore the key features of 5G NR LDPC coding and its benefits for next-generation wireless communication systems [6].…”

Section: Overview 5gnrldpc Codesmentioning

confidence: 99%

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FPGA Implementation of 5G NR LDPC Codes

Abdel-Momen,

Zekry,

Hassan

et al. 2023

Adv. sci. technol. eng. syst. j.

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As a result of rising expectations for quality, the employment of advanced technical requirements for future fifth-generation (5G) new radio is required. The error-correction coding method is one of the most important components of a new generation. The 5G NR New Radio Low-Density Parity Check (LDPC) codes, which have been adopted by the 5G standard, are a standout solution in terms of high coding gain, high throughput, and low power dissipation. This paper presents an implementation of 5th generation (5G) New Radio (NR) and 5G NR low-density parity check codes, which are performed with the aid of a proper architecture. LABVIEW will be used in wireless communications to reduce the cost, space, and power. Simultaneously, this increased the speed. The circuit design supports a constraint length of 1360 and a code rate of 0.5. The LDPC encoder and decoder are implemented on an NI MY RIO 1900 ZYNQ FPGA at a 33 MHZ core frequency starter kit. Xilinx Vivado 18.2 series was used for the simulation. The implemented design shows an area overhead reduction of 50% compared with the referenced designs of the Xilinx 7 series device. In MY RIO ZYNQ, the proposed method achieved 21000 LUTs compared with Xilinx 7-series solutions, and it has a much higher throughput (224 vs. 87 and 5 MBit/s), followed by MY RIO ZYNQ, which is better than previous state-of-the-art solutions in terms of area and higher data rates. Moreover, the implemented 5G NR LDPC decoder tested against an additive white Gaussian noise channel (AWGN) and consequently has gained more popularity in many applications.

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Section: History Of Ldpcmentioning

confidence: 99%

Section: History Of Ldpcmentioning

confidence: 99%