Multi-Dimensional Block Shaping

Tadashi WADAYAMA; Koichiro WAKASUGI; Masao KASAHARA

Multi-Dimensional Block Shaping

Tadashi WADAYAMA, Koichiro WAKASUGI, Masao KASAHARA

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A multi-dimensional shaping scheme based on multi-level Maximum Average Weight (MAW)-codes is presented. One can reduce the average energy of transmitted signal, by using low energy signal points more frequently than high energy ones. The proposed scheme employs a multi-dimensional region of 2,4,6 and 8 dimensions; these regions are selected using a multi-level MAW-code. A multi-level MAW-code is a q-ary code and has unequal probability of the occurrence of a symbol. The scheme can achieve a shaping gain of 0.6-1.0 dB with small constellation expansion ratio and peak to average energy ratio. This scheme is based on a two-level table look up algorithm. Therefore, the less complexity of encoding/decoding can be realized.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E78-A No.8 pp.1034-1041

Publication Date: 1995/08/25

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Type of Manuscript: PAPER

Category: Information Theory and Coding Theory

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Tadashi WADAYAMA, Koichiro WAKASUGI, Masao KASAHARA, "Multi-Dimensional Block Shaping" in IEICE TRANSACTIONS on Fundamentals, vol. E78-A, no. 8, pp. 1034-1041, August 1995, doi: .
Abstract: A multi-dimensional shaping scheme based on multi-level Maximum Average Weight (MAW)-codes is presented. One can reduce the average energy of transmitted signal, by using low energy signal points more frequently than high energy ones. The proposed scheme employs a multi-dimensional region of 2,4,6 and 8 dimensions; these regions are selected using a multi-level MAW-code. A multi-level MAW-code is a q-ary code and has unequal probability of the occurrence of a symbol. The scheme can achieve a shaping gain of 0.6-1.0 dB with small constellation expansion ratio and peak to average energy ratio. This scheme is based on a two-level table look up algorithm. Therefore, the less complexity of encoding/decoding can be realized.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e78-a_8_1034/_p

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@ARTICLE{e78-a_8_1034,
author={Tadashi WADAYAMA, Koichiro WAKASUGI, Masao KASAHARA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Multi-Dimensional Block Shaping},
year={1995},
volume={E78-A},
number={8},
pages={1034-1041},
abstract={A multi-dimensional shaping scheme based on multi-level Maximum Average Weight (MAW)-codes is presented. One can reduce the average energy of transmitted signal, by using low energy signal points more frequently than high energy ones. The proposed scheme employs a multi-dimensional region of 2,4,6 and 8 dimensions; these regions are selected using a multi-level MAW-code. A multi-level MAW-code is a q-ary code and has unequal probability of the occurrence of a symbol. The scheme can achieve a shaping gain of 0.6-1.0 dB with small constellation expansion ratio and peak to average energy ratio. This scheme is based on a two-level table look up algorithm. Therefore, the less complexity of encoding/decoding can be realized.},
keywords={},
doi={},
ISSN={},
month={August},}

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TY - JOUR
TI - Multi-Dimensional Block Shaping
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1034
EP - 1041
AU - Tadashi WADAYAMA
AU - Koichiro WAKASUGI
AU - Masao KASAHARA
PY - 1995
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E78-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 1995
AB - A multi-dimensional shaping scheme based on multi-level Maximum Average Weight (MAW)-codes is presented. One can reduce the average energy of transmitted signal, by using low energy signal points more frequently than high energy ones. The proposed scheme employs a multi-dimensional region of 2,4,6 and 8 dimensions; these regions are selected using a multi-level MAW-code. A multi-level MAW-code is a q-ary code and has unequal probability of the occurrence of a symbol. The scheme can achieve a shaping gain of 0.6-1.0 dB with small constellation expansion ratio and peak to average energy ratio. This scheme is based on a two-level table look up algorithm. Therefore, the less complexity of encoding/decoding can be realized.
ER -