Modified SNR Gap Approximation for Resource Allocation in LDPC-Coded Multicarrier Systems

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...

Full description

Saved in:
Bibliographic Details
Published in:IEEE access 2020, Vol.8, p.1577-1586
Main Authors: Suls, Adriaan, Verdyck, Jeroen, Moonen, Marc, Moeneclaey, Marc
Format: Article
Language:English
Subjects:
Approximation
Approximation algorithms
channel coding
Codes
Constellations
DSL
Error correcting codes
information theory
LDPC codes
Mathematical analysis
Modulation
OFDM
Parity check codes
Resource allocation
Resource management
Signal to noise ratio
Trellis coding
wireless networks
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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 required SNR in low-density parity-check (LDPC) coded multicarrier systems. We solve this problem by using a simple modification of the SNR gap approximation instead, which fully retains the analytical convenience of the former approximation. The performance advantage resulting from the proposed modification is illustrated for single-user digital subscriber line transmission.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2019.2962266