LDPC Decoding Algorithms for Implant to Implant Wireless Body Area Network

Youssef, Albashir A.; Abdelhamid, Bassant; Elramly, Salwa; ElAttar, Hussein M.; Ali, Hassan Refat H.

doi:10.1109/access.2018.2810293

Cited by 15 publications

(12 citation statements)

References 25 publications

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“…On the other hand, The encoding complexity of LDPC code is O N + g 2 , where g is the representation gap in the parity-check matrix in approximate lower triangular form [51] which differs for each code rate, and the decoding complexity is O(i max (Nρ + (N − K)γ )), where i max is the maximum number of iterations and ρ, γ represent the average degree of the variable and parity nodes respectively in the parity check matrix [52], which also differ for each code rate. DVB-S2 QEF performance is achieved after a pre-determined number of iterations i max = 50 [38].…”

Section: System Complexity Comparisonmentioning

confidence: 99%

Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems

et al. 2021

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Polar codes are featured by their low encoding/decoding complexity for symmetric binary input-discrete memoryless channels. Recently, flexible generic Successive Cancellation List (SCL) decoders for polar codes were proposed to provide different throughput, latency, and decoding performances. In this paper, we propose to use polar codes with flexible fast-adaptive SCL decoders in Digital Video Broadcasting (DVB) systems to meet the growing demand for more bitrates. In addition, they can provide more interactive services with less latency and more throughput. First, we start with the construction of polar codes and propose a new mathematical relation to get the optimized design point for the polar code. We prove that our optimized design point is too close to the one that achieves minimum Bit Error Rate (BER). Then, we compare the performance of polar and Low-Density Parity Check (LDPC) codes in terms of BER, encoder/decoder latencies, and throughput. The results show that both channel coding techniques have comparable BER. However, polar codes are superior to LDPC in terms of decoding latency, and system throughput. Finally, we present the possible performance enhancement of DVB systems in terms of decoding latency and complexity when using optimized polar codes as a Forward Error Correction (FEC) technique instead of Bose Chaudhuri Hocquenghem (BCH) and LDPC codes that are currently adopted in DVB standards.

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Section: System Complexity Comparisonmentioning

confidence: 99%

Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems

et al. 2021

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“…The code rate selection also lacks optimality. Youssef et al 13 describe in detail the various LDPC decoding algorithms. A modified version of weighted bit flipping algorithm is also proposed and compared with the other decoding algorithms.…”

Section: Related Workmentioning

confidence: 99%

Predictive estimation of low density parity check decoded data based on error pattern modelling in wireless body area networks

Anwar

Duraisamy

2021

Int J Communication

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Summary Wireless body area networks (WBANs) dynamically track a person's health data wirelessly. The implant‐to‐implant communication (CM1) inside the human body requires low power, highly reliable channels amidst the high losses and attenuation due to the various portions of the body. This attenuation and noise results in complete variation of the monitored health data, resulting in faulty medical diagnosis and alarms. Low density parity check (LDPC) algorithms are popular for error correction in this scenario. However, they still need to be improved for a more reasonable analysis of the health status. We suggest processing of the sensed data to increase the sparsity, thereby improving the bit error probability performance of the LDPC coding technique. Further, we propose the use of Kalman filter to estimate the actually transmitted bit from the LDPC decoded message output. The simulation results show that the proposed technique improve the error correction capability of the LDPC code. The increased energy, time and computations required for the same is found to be within a satisfactory level for the proper functioning of the WBANs.

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“…The paper proposed a low complexity version of bit flipping algorithm, called modified implementation efficient reliability ration WBF for LDPC code for implant to implant communication channel in WBAN [42]. The authors presented a decoding process in the proposed algorithm.…”

Section: Forward Error Correction (Fec)mentioning

confidence: 99%

“…The decoding time for the proposed code lays medium in range when compared with others. The work that is presented in [42] is limited to implant to implant node communication channel only and there is only comparison with different versions of LDPC decoders. However, there is a lack comparison with other types of codes that has similar complexity and is considered for WBAN.…”

Section: Forward Error Correction (Fec)mentioning

confidence: 99%

Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

Kadel

Islam

Ahmed

et al. 2018

JSAN

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This paper offers a review of different types of Error Correction Scheme (ECS) used in communication systems in general, which is followed by a summary of the IEEE standard for Wireless Body Area Network (WBAN). The possible types of channels and network models for WBAN are presented that are crucial to the design and implementation of ECS. Following that, a literature review on the proposed ECSs for WBAN is conducted based on different aspects. One aspect of the review is to examine what type of parameters are considered during the research work. The second aspect of the review is to analyse how the reliability is measured and whether the research works consider the different types of reliability and delay requirement for different data types or not. The review indicates that the current literatures do not utilize the constraints that are faced by WBAN nodes during ECS design. Subsequently, we put forward future research challenges and opportunities on ECS design and the implementation for WBAN when considering computational complexity and the energy-constrained nature of nodes.

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LDPC Decoding Algorithms for Implant to Implant Wireless Body Area Network

Cited by 15 publications

References 25 publications

Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems

Optimized Polar Codes as Forward Error Correction Coding for Digital Video Broadcasting Systems

Predictive estimation of low density parity check decoded data based on error pattern modelling in wireless body area networks

Opportunities and Challenges for Error Correction Scheme for Wireless Body Area Network—A Survey

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