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Title
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Performance Comparison of Low-Density Parity-Check (LDPC) Codes for Reliable Communication in Noisy Channels
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Abstract
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Background: With significant improvements in
communication systems, especially in the context of emerging
smart cities, data dependability over noisy channels has become
critical. Low-Density Parity-Check (LDPC) codes have gained
popularity because to their large error correcting capabilities,
which have even approached the Shannon limit, making them
indispensable in current communication systems
Objective: The purpose of this article is to conduct a thorough
examination of the performance of LDPC codes, with a focus on
their
effectiveness
in
noisy
communication situations.
Understanding the capabilities of LDPC in error correction,
decoding complexity, and throughput efficiency across various
setups and circumstances is the goal.
Methods: A variety of LDPC code configurations, including
specialized configurations such as turbo-coded LDPC and finite
geometry-based LDPC codes, were investigated. Their
performance was evaluated using simulations under various
signal-to-noise ratio (SNR) settings, offering a realistic perspective
on how they will behave in real-world communication scenarios.
Results: Preliminary data indicate that LDPC code
configurations vary in performance. The current study focuses on
the trade-offs of various arrangements, stressing their unique
strengths and disadvantages. This comparison analysis gives a
road map for choosing the best LDPC code for certain
communication applications, which is especially important for
urban areas on their digital transformation path.
Conclusion: In the smart cities, LDPC codes offer tremendous
potential to improve the reliability and efficiency of
communication networks. Understanding their intricacies,
strengths, and trade-offs may help influence communication
strategy choices, resulting in more connected, efficient, and
sustainable urban ecosystems.
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Scientific Type
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غير معروف
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Journal volume
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vol.35,No.1
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Collaboration type
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مشترك
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Publish Date
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April 26, 2024
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Scopus status
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In Scopus
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Scopus index year
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2 024
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Scopus citation score
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0
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Clarivate status
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Not In Clarivate
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Pub. Med. status
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Not In PubMed
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ISSN
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2305-7254
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Country type
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عالمية
Alnoor University
PROCEEDING OF THE 35TH CONFERENCE OF FRUCT ASSOCIATION
Russian Federation
College of Health and Medical Technologies
Department of Medical laboratories techniques
Academic paper 