2006 IEEE International Symposium on Power Line Communications and Its Applications
DOI: 10.1109/isplc.2006.1716916
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Turbo-coding and Bit-loading Algorithms for a HomePlug-like DMT PLC System

Abstract: Abstract-This paper deals with a variable rate Discrete Multi-tone Modulation communication system for broadband Power-Line Communications, based on the Turbo coding and Bit-loading algorithms. The proposed system can be seen as an enhancement of the HomePlug 1.0 system. The performance of the system, expressed in terms of Bit-Rate and Bit Error Rate (BER), is derived by simulation under the assumption of an inbuilding channel model.

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Cited by 2 publications
(3 citation statements)
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“…The first proposed [5] algorithm for xDSL applications reaches the optimal solution using a greedy algorithm but leads to intensive computational complexity when the number of bits to be transmitted per DMT symbol is large. Many suboptimal algorithms with less computational complexity have since been developed (refer, for example, [6] and references inside for an extensive overview).…”
Section: Introductionmentioning
confidence: 99%
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“…The first proposed [5] algorithm for xDSL applications reaches the optimal solution using a greedy algorithm but leads to intensive computational complexity when the number of bits to be transmitted per DMT symbol is large. Many suboptimal algorithms with less computational complexity have since been developed (refer, for example, [6] and references inside for an extensive overview).…”
Section: Introductionmentioning
confidence: 99%
“…In [6], bit-loading algorithm with symbol error rate (SER) has been proposed for Homeplug AV (HPAV) systems which operate in the frequencies lower than 30 MHz. Owing to electromagnetic compatibility constraint, a power spectral density (PSD) mask is defined and only 917 usable subcarriers (tones) are used in order not to interfere with amateur radios [7], [8].…”
Section: Introductionmentioning
confidence: 99%
“…The first proposed [4] algorithm for xDSL applications reaches the optimal solution using a greedy algorithm but leads to intensive computational complexity when the number of bits to be transmitted per DMT symbol is large. Many suboptimal algorithms with less computational complexity have since been developed (refer, for example, [5] and references inside for an extensive overview).…”
Section: Introductionmentioning
confidence: 99%