2020
DOI: 10.1109/access.2019.2962266
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Modified SNR Gap Approximation for Resource Allocation in LDPC-Coded Multicarrier Systems

Abstract: The signal-to-noise ratio (SNR) gap approximation provides a closed-form expression for the SNR required for a coded modulation system to achieve a given target error performance for a given constellation size. This approximation has been widely used for resource allocation in the context of trellis-coded multicarrier systems (e.g., for digital subscriber line communication). In this contribution, we show that the SNR gap approximation does not accurately model the relation between constellation size and requi… Show more

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Cited by 2 publications
(2 citation statements)
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“…where log 2 ( ) is the binary logarithm and Γ is the so-called SNR-gap to capacity -the inclusion of which results in a more accurate model of the relation between the constellation size and the SINR required to achieve a target bit error rate (BER) for practical modulation and coding schemes [27]- [29].…”
Section: E Performance Metricsmentioning
confidence: 99%
“…where log 2 ( ) is the binary logarithm and Γ is the so-called SNR-gap to capacity -the inclusion of which results in a more accurate model of the relation between the constellation size and the SINR required to achieve a target bit error rate (BER) for practical modulation and coding schemes [27]- [29].…”
Section: E Performance Metricsmentioning
confidence: 99%
“…First, the non-convex term b n k (P k ) in (30) is re-written as 4 Although in DSL the coded bits of a codeword are typically mapped into QAM symbols that are transmitted over different tones (i.e. channel coding across tones), the error rate performance is very close to and thus accurately approximated by the per-tone channel coding case [36].…”
Section: A General Rank-one Multicastingmentioning
confidence: 99%