Sphere decoding for spatial permutation modulation MIMO systems

Jung Chun Chi; Yu Cheng Yeh; I. Wei Lai; Yuan Hao Huang

doi:10.1109/ICC.2017.7997167

Sphere decoding for spatial permutation modulation MIMO systems

Jung Chun Chi, Yu Cheng Yeh, I. Wei Lai, Yuan Hao Huang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

Multiple-input multiple-output (MIMO) is an essential technology for modern wireless communication systems. Spatial modulation (SM) is an evolving MIMO transmission scheme for energy-efficient massive MIMO systems. SM conveys the information of transmit antenna indices and modulated symbols in MIMO systems. A variant spatial permutation modulation (SPM) was further proposed to include transmit and time diversities by transmitting a permutation array of antenna indices during several time instants. The SPM achieves better error rate performance than the SM especially in fast fading channel. This paper investigates sphere decoding algorithms for the SPM receiver. An ordering scheme was proposed to reduce the number of visited nodes in the spherical tree search. The improved ordered sphere decoding saves about 95.6% computational complexity corresponding to 22.7 times throughput in the software implementation.

Original language	English
Title of host publication	2017 IEEE International Conference on Communications, ICC 2017
Editors	Merouane Debbah, David Gesbert, Abdelhamid Mellouk
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781467389990
DOIs	https://doi.org/10.1109/ICC.2017.7997167
State	Published - 28 07 2017
Externally published	Yes
Event	2017 IEEE International Conference on Communications, ICC 2017 - Paris, France Duration: 21 05 2017 → 25 05 2017

Publication series

Name	IEEE International Conference on Communications
ISSN (Print)	1550-3607

Conference

Conference	2017 IEEE International Conference on Communications, ICC 2017
Country/Territory	France
City	Paris
Period	21/05/17 → 25/05/17

Bibliographical note

Publisher Copyright:
© 2017 IEEE.

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10.1109/ICC.2017.7997167

Cite this

Chi, J. C., Yeh, Y. C., Lai, I. W., & Huang, Y. H. (2017). Sphere decoding for spatial permutation modulation MIMO systems. In M. Debbah, D. Gesbert, & A. Mellouk (Eds.), 2017 IEEE International Conference on Communications, ICC 2017 Article 7997167 (IEEE International Conference on Communications). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2017.7997167

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title = "Sphere decoding for spatial permutation modulation MIMO systems",

abstract = "Multiple-input multiple-output (MIMO) is an essential technology for modern wireless communication systems. Spatial modulation (SM) is an evolving MIMO transmission scheme for energy-efficient massive MIMO systems. SM conveys the information of transmit antenna indices and modulated symbols in MIMO systems. A variant spatial permutation modulation (SPM) was further proposed to include transmit and time diversities by transmitting a permutation array of antenna indices during several time instants. The SPM achieves better error rate performance than the SM especially in fast fading channel. This paper investigates sphere decoding algorithms for the SPM receiver. An ordering scheme was proposed to reduce the number of visited nodes in the spherical tree search. The improved ordered sphere decoding saves about 95.6% computational complexity corresponding to 22.7 times throughput in the software implementation.",

author = "Chi, {Jung Chun} and Yeh, {Yu Cheng} and Lai, {I. Wei} and Huang, {Yuan Hao}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 IEEE International Conference on Communications, ICC 2017 ; Conference date: 21-05-2017 Through 25-05-2017",

year = "2017",

month = jul,

day = "28",

doi = "10.1109/ICC.2017.7997167",

language = "英语",

series = "IEEE International Conference on Communications",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

editor = "Merouane Debbah and David Gesbert and Abdelhamid Mellouk",

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}

Chi, JC, Yeh, YC, Lai, IW & Huang, YH 2017, Sphere decoding for spatial permutation modulation MIMO systems. in M Debbah, D Gesbert & A Mellouk (eds), 2017 IEEE International Conference on Communications, ICC 2017., 7997167, IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers Inc., 2017 IEEE International Conference on Communications, ICC 2017, Paris, France, 21/05/17. https://doi.org/10.1109/ICC.2017.7997167

Sphere decoding for spatial permutation modulation MIMO systems. / Chi, Jung Chun; Yeh, Yu Cheng; Lai, I. Wei et al.
2017 IEEE International Conference on Communications, ICC 2017. ed. / Merouane Debbah; David Gesbert; Abdelhamid Mellouk. Institute of Electrical and Electronics Engineers Inc., 2017. 7997167 (IEEE International Conference on Communications).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Sphere decoding for spatial permutation modulation MIMO systems

AU - Chi, Jung Chun

AU - Yeh, Yu Cheng

AU - Lai, I. Wei

AU - Huang, Yuan Hao

PY - 2017/7/28

Y1 - 2017/7/28

N2 - Multiple-input multiple-output (MIMO) is an essential technology for modern wireless communication systems. Spatial modulation (SM) is an evolving MIMO transmission scheme for energy-efficient massive MIMO systems. SM conveys the information of transmit antenna indices and modulated symbols in MIMO systems. A variant spatial permutation modulation (SPM) was further proposed to include transmit and time diversities by transmitting a permutation array of antenna indices during several time instants. The SPM achieves better error rate performance than the SM especially in fast fading channel. This paper investigates sphere decoding algorithms for the SPM receiver. An ordering scheme was proposed to reduce the number of visited nodes in the spherical tree search. The improved ordered sphere decoding saves about 95.6% computational complexity corresponding to 22.7 times throughput in the software implementation.

AB - Multiple-input multiple-output (MIMO) is an essential technology for modern wireless communication systems. Spatial modulation (SM) is an evolving MIMO transmission scheme for energy-efficient massive MIMO systems. SM conveys the information of transmit antenna indices and modulated symbols in MIMO systems. A variant spatial permutation modulation (SPM) was further proposed to include transmit and time diversities by transmitting a permutation array of antenna indices during several time instants. The SPM achieves better error rate performance than the SM especially in fast fading channel. This paper investigates sphere decoding algorithms for the SPM receiver. An ordering scheme was proposed to reduce the number of visited nodes in the spherical tree search. The improved ordered sphere decoding saves about 95.6% computational complexity corresponding to 22.7 times throughput in the software implementation.

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M3 - 会议稿件

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T3 - IEEE International Conference on Communications

BT - 2017 IEEE International Conference on Communications, ICC 2017

A2 - Debbah, Merouane

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PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2017 IEEE International Conference on Communications, ICC 2017

Y2 - 21 May 2017 through 25 May 2017

ER -

Sphere decoding for spatial permutation modulation MIMO systems

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