A Comparison of 5G Channel Coding Techniques

Čarapić, Darija; Maksimović, Mirjana

doi:10.7251/ijeec2002071m

Cited by 3 publications

(5 citation statements)

References 13 publications

(25 reference statements)

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“…Linear block codes with a sparse parity-check matrix are known as LDPC codes. LDPC matrix is known as a sparse parity-check matrix [15]. The phrase "low density" describes a property of the parity check matrix where there are relatively few 1 s as opposed to 0 s. Figure 1 shows the general LDPC coding process.…”

Section: Methodsmentioning

confidence: 99%

Security-based low-density parity check encoder for 5G communication

Rajangam,

Alagarsamy,

Radhakrishnan

et al. 2024

Bulletin EEI

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The fifth generation (5G) of mobile telecommunication standards is intended to offer better performance and efficiency. One of the most significant difficulties in delivering safe data transfer through the transmission channel in the emerging 5G technology is channel-coding security. This research primarily focused on offering information transmission that is secure in the place of novel assaults such as side-channel attacks. In this research, we present a low-density parity check (LDPC) encoder that is constructed using the multiplicative masking method to overcome side-channel attacks, one of the most significant security concerns for the upcoming 5G system. As a result, it offers greater security, reduced complexity, and higher performance. Power, area, and delay can all be calculated using LDPC codes. Comparing multiplicative masking implemented LDPC encoders to ordinary channel coding techniques in terms of security seen that multiplicative masking implemented LDPC encoders offer more security. The program Xilinx ISE 14.7 can synthesize the analysis. The advantage of multiplicative masking is that it offers a promising level of security through the principle of randomization, which is the foundation of the procedure. According to the analysis, the secured transmission of the data by the proposed multiplicative masking implemented LDPC encoder is increased.

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Section: Methodsmentioning

confidence: 99%

Security-based low-density parity check encoder for 5G communication

Rajangam,

Alagarsamy,

Radhakrishnan

et al. 2024

Bulletin EEI

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“…Figure 5(a) shows the BER performance for 64 bits data length, and Figure 5(b) shows the BER performance for 128 bits data length. In the UL direction, the maximum input message length is 1023 bits as defined in [26]. The results show that higher code rates, where the decoder has fewer parity bits to confirm the values of the information bits, result in worse performance.…”

Section: Polar Codesmentioning

confidence: 99%

“…The contribution of this paper is to evaluate and compare the performance of low-density parity-check codes (LDPC) and polar codes in terms of BER vs signal to noise ratio (SNR) for different code block lengths and different code rates ranging from 1/3 to 9/10. Similar evaluations based on using LDPC and Polar codes were made in previous works like [25] and [26]. However, a limited number of code rates (1/2, 1/3, 2/3, 5/6) were examined in [25], and the decoding technique for LDPC codes was not considered in [26], which means it is a perfect solution and this can be defined as an impractical solution.…”

Section: Introductionmentioning

confidence: 98%

“…Similar evaluations based on using LDPC and Polar codes were made in previous works like [25] and [26]. However, a limited number of code rates (1/2, 1/3, 2/3, 5/6) were examined in [25], and the decoding technique for LDPC codes was not considered in [26], which means it is a perfect solution and this can be defined as an impractical solution. Therefore, in this paper decoding solutions for LDPC and polar code are defined as offset min-sum and cyclic redundancy check-successive cancellation list (CRC-SCL) are utilized for practical environments.…”

Section: Introductionmentioning

confidence: 98%

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An investigation of low-density parity-check codes and polar codes for future communication systems

Salih

Al-Qaradaghi

Ameen

2023

IJEECS

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In the fifth-generation (5G) era and future, mobile internet and internet of things (IoT) are the driving forces for mobile communications’ development. The three main 5G usage scenarios: enhanced mobile broadband (eMBB), massive machine-type communication (mMTC), and ultra-reliable and low-latency communications (URLLC), require improvement in throughput, reliability, and latency as compared with the previous fourth generation (4G) system. In this paper, an investigation is done on the coding part of the wireless communication systems. Two channel coding types; low-density parity-check (LDPC) code which is used as the coding scheme for data transmission, and Polar code which is utilized for control in 5G are discussed. Moreover, simulations are performed to assess their performance. The simulation results revealed the superiority of polar code for transmitting short information messages and LDPC for transmitting long data messages. The use of LDPC and polar codes in 5G communication systems is justified by their ability to accommodate a wide range of data lengths and code rates, as well as their good bit error rate (BER) performance. Furthermore, the effect of the number of iterations on the BER performance of LDPC code and different decoding algorithms of polar code are considered.

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“…The third generation partnership project (3GPP) uses channel coding as standardised communication scheme for error control due to noise, interference and fading caused by the channel. 5G NR has adopted polar code as error control code, for control channel and LDPC for data channel in the physical access layer for eMBB use case 13,14 . Turbo, LDPC, polar and rateless codes constitute the advanced coding schemes.…”

Section: Introductionmentioning

confidence: 99%

Advanced channel coding schemes for B5G/6G networks: State‐of‐the‐art analysis, research challenges and future directions

Gautam,

Thakur,

Singh

2024

Int J Communication

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SummaryAs a consequence of continuing demand for additional capacity and higher quality data transmission, channel coding as a key component of a digital communication network has progressed from a classical single pair, point‐to‐point information theoretic application to a class of coding techniques with diverse parameters. The heterogeneous requirements of B5G/6G networks technology have made flexibility of code parameters the main desired feature while designing channel codes. Owing to this, channel coding techniques have evolved to support enabling applications that depend on different factors such as latency, reliability, energy efficiency and throughput. We review and discuss the application of new techniques, modifications in the design and construction of modern channel coding schemes, including block, convolutional, rateless and space‐time codes. Further, the error correction performance of mainstream channel decoders for LDPC, polar and turbo codes is compared and analysed for their attainable error rate. The aim of this study is to highlight the adaptability of the discussed coding schemes for the forthcoming cellular network landscape. This article also addresses the implementational challenges of high throughput, low latency and machine type communication scenarios. Moreover, some recent studies exploring the role of machine learning for optimisation of B5G/6G networks are classified and discussed. Concluding, research areas pertaining to the scalability of error control coding for next generation networking are addressed.

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A Comparison of 5G Channel Coding Techniques

Cited by 3 publications

References 13 publications

Security-based low-density parity check encoder for 5G communication

Security-based low-density parity check encoder for 5G communication

An investigation of low-density parity-check codes and polar codes for future communication systems

Advanced channel coding schemes for B5G/6G networks: State‐of‐the‐art analysis, research challenges and future directions

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