Blind Modulation Classification Algorithm for Adaptive OFDM Systems

Qi-Shan HUANG; Qi-Cong PENG; Huai-Zong SHAO

doi:10.1093/ietcom/e90-b.2.296

Blind Modulation Classification Algorithm for Adaptive OFDM Systems

Qi-Shan HUANG, Qi-Cong PENG, Huai-Zong SHAO

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Adaptive modulation is an efficient method to increase the spectral efficiency of OFDM based high-speed wireless data transmission systems in multipath channel. Blind modulation classification schemes play an important role in adaptive modulation systems, eliminating the need for transmitting modulation information, thereby increasing spectral efficiency. In this paper, a novel blind modulation classification algorithm is derived from the finite alphabet property of information symbols and the equivalent parallel model of OFDM systems. The performances of the proposed algorithm and M2M4P algorithm [1] are tested and compared using Monte-Carlo simulations. It is found that, the novel algorithm yields performance better than that of M2M4P algorithm and with much less complexity.

Publication: IEICE TRANSACTIONS on Communications Vol.E90-B No.2 pp.296-301

Publication Date: 2007/02/01

Publicized

Online ISSN: 1745-1345

DOI: 10.1093/ietcom/e90-b.2.296

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

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Qi-Shan HUANG, Qi-Cong PENG, Huai-Zong SHAO, "Blind Modulation Classification Algorithm for Adaptive OFDM Systems" in IEICE TRANSACTIONS on Communications, vol. E90-B, no. 2, pp. 296-301, February 2007, doi: 10.1093/ietcom/e90-b.2.296.
Abstract: Adaptive modulation is an efficient method to increase the spectral efficiency of OFDM based high-speed wireless data transmission systems in multipath channel. Blind modulation classification schemes play an important role in adaptive modulation systems, eliminating the need for transmitting modulation information, thereby increasing spectral efficiency. In this paper, a novel blind modulation classification algorithm is derived from the finite alphabet property of information symbols and the equivalent parallel model of OFDM systems. The performances of the proposed algorithm and M2M4P algorithm [1] are tested and compared using Monte-Carlo simulations. It is found that, the novel algorithm yields performance better than that of M2M4P algorithm and with much less complexity.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.2.296/_p

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@ARTICLE{e90-b_2_296,
author={Qi-Shan HUANG, Qi-Cong PENG, Huai-Zong SHAO, },
journal={IEICE TRANSACTIONS on Communications},
title={Blind Modulation Classification Algorithm for Adaptive OFDM Systems},
year={2007},
volume={E90-B},
number={2},
pages={296-301},
abstract={Adaptive modulation is an efficient method to increase the spectral efficiency of OFDM based high-speed wireless data transmission systems in multipath channel. Blind modulation classification schemes play an important role in adaptive modulation systems, eliminating the need for transmitting modulation information, thereby increasing spectral efficiency. In this paper, a novel blind modulation classification algorithm is derived from the finite alphabet property of information symbols and the equivalent parallel model of OFDM systems. The performances of the proposed algorithm and M2M4P algorithm [1] are tested and compared using Monte-Carlo simulations. It is found that, the novel algorithm yields performance better than that of M2M4P algorithm and with much less complexity.},
keywords={},
doi={10.1093/ietcom/e90-b.2.296},
ISSN={1745-1345},
month={February},}

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TY - JOUR
TI - Blind Modulation Classification Algorithm for Adaptive OFDM Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 296
EP - 301
AU - Qi-Shan HUANG
AU - Qi-Cong PENG
AU - Huai-Zong SHAO
PY - 2007
DO - 10.1093/ietcom/e90-b.2.296
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2007
AB - Adaptive modulation is an efficient method to increase the spectral efficiency of OFDM based high-speed wireless data transmission systems in multipath channel. Blind modulation classification schemes play an important role in adaptive modulation systems, eliminating the need for transmitting modulation information, thereby increasing spectral efficiency. In this paper, a novel blind modulation classification algorithm is derived from the finite alphabet property of information symbols and the equivalent parallel model of OFDM systems. The performances of the proposed algorithm and M2M4P algorithm [1] are tested and compared using Monte-Carlo simulations. It is found that, the novel algorithm yields performance better than that of M2M4P algorithm and with much less complexity.
ER -