Expanded precoding index modulation for MIMO system

Yasunori Nin, Yukitoshi Sanada, Ryota Kimura, Hiroki Matsuda, Ryo Sawai

Research output: Contribution to journalArticle

Abstract

Index modulation (IM) is receiving attention because of its high energy efficiency. In precoding index modulation (PIM), some of the data bits are used for the modulation of symbols and the rest are used for the selection of precoding coefficients. In conventional PIM, the precoding matrices are orthogonal and unitary. In the proposed PIM, the number of the columns of the precoding matrix is expanded more than that of the rows. Because of the expanded precoding matrices, the number of data bits used for the selection of precoding coefficients is increased. As a result, a code rate can be reduced compared to that of the conventional PIM and the number of candidate constellation points for demodulation can be decreased as compared to that of a multiple-input multiple-output MIMO system under the same throughput. Numerical results obtained through computer simulation show that the proposed PIM with QPSK symbols improves the performance by about 2.5 dB at a bit error rate of 10− 3 as compared to overloaded MIMO with 16QAM symbols for two transmit antennas and one receive antenna. It also achieves about 3.5 dB better performance than the conventional PIM under the same antenna condition. Furthermore, the optimum number of index modulation bits is found by the simulation for the proposed PIM. In addition, the PIM scheme reduces demodulation complexity by a factor of 32 as compared to that of the MIMO under specific modulation parameters.

Original languageEnglish
Pages (from-to)921-929
Number of pages9
JournalIEICE Transactions on Communications
VolumeE102B
Issue number4
DOIs
Publication statusPublished - 2019 Apr 1

Fingerprint

MIMO systems
Modulation
Antennas
Demodulation
Quadrature phase shift keying
Bit error rate
Energy efficiency
Throughput

Keywords

  • Index modulation
  • MIMO
  • Precoding

ASJC Scopus subject areas

  • Software
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Expanded precoding index modulation for MIMO system. / Nin, Yasunori; Sanada, Yukitoshi; Kimura, Ryota; Matsuda, Hiroki; Sawai, Ryo.

In: IEICE Transactions on Communications, Vol. E102B, No. 4, 01.04.2019, p. 921-929.

Research output: Contribution to journalArticle

Nin, Yasunori ; Sanada, Yukitoshi ; Kimura, Ryota ; Matsuda, Hiroki ; Sawai, Ryo. / Expanded precoding index modulation for MIMO system. In: IEICE Transactions on Communications. 2019 ; Vol. E102B, No. 4. pp. 921-929.
@article{adab967fb7334d3e840081b0fd4c5490,
title = "Expanded precoding index modulation for MIMO system",
abstract = "Index modulation (IM) is receiving attention because of its high energy efficiency. In precoding index modulation (PIM), some of the data bits are used for the modulation of symbols and the rest are used for the selection of precoding coefficients. In conventional PIM, the precoding matrices are orthogonal and unitary. In the proposed PIM, the number of the columns of the precoding matrix is expanded more than that of the rows. Because of the expanded precoding matrices, the number of data bits used for the selection of precoding coefficients is increased. As a result, a code rate can be reduced compared to that of the conventional PIM and the number of candidate constellation points for demodulation can be decreased as compared to that of a multiple-input multiple-output MIMO system under the same throughput. Numerical results obtained through computer simulation show that the proposed PIM with QPSK symbols improves the performance by about 2.5 dB at a bit error rate of 10− 3 as compared to overloaded MIMO with 16QAM symbols for two transmit antennas and one receive antenna. It also achieves about 3.5 dB better performance than the conventional PIM under the same antenna condition. Furthermore, the optimum number of index modulation bits is found by the simulation for the proposed PIM. In addition, the PIM scheme reduces demodulation complexity by a factor of 32 as compared to that of the MIMO under specific modulation parameters.",
keywords = "Index modulation, MIMO, Precoding",
author = "Yasunori Nin and Yukitoshi Sanada and Ryota Kimura and Hiroki Matsuda and Ryo Sawai",
year = "2019",
month = "4",
day = "1",
doi = "10.1587/transcom.2018EBP3105",
language = "English",
volume = "E102B",
pages = "921--929",
journal = "IEICE Transactions on Communications",
issn = "0916-8516",
publisher = "Maruzen Co., Ltd/Maruzen Kabushikikaisha",
number = "4",

}

TY - JOUR

T1 - Expanded precoding index modulation for MIMO system

AU - Nin, Yasunori

AU - Sanada, Yukitoshi

AU - Kimura, Ryota

AU - Matsuda, Hiroki

AU - Sawai, Ryo

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Index modulation (IM) is receiving attention because of its high energy efficiency. In precoding index modulation (PIM), some of the data bits are used for the modulation of symbols and the rest are used for the selection of precoding coefficients. In conventional PIM, the precoding matrices are orthogonal and unitary. In the proposed PIM, the number of the columns of the precoding matrix is expanded more than that of the rows. Because of the expanded precoding matrices, the number of data bits used for the selection of precoding coefficients is increased. As a result, a code rate can be reduced compared to that of the conventional PIM and the number of candidate constellation points for demodulation can be decreased as compared to that of a multiple-input multiple-output MIMO system under the same throughput. Numerical results obtained through computer simulation show that the proposed PIM with QPSK symbols improves the performance by about 2.5 dB at a bit error rate of 10− 3 as compared to overloaded MIMO with 16QAM symbols for two transmit antennas and one receive antenna. It also achieves about 3.5 dB better performance than the conventional PIM under the same antenna condition. Furthermore, the optimum number of index modulation bits is found by the simulation for the proposed PIM. In addition, the PIM scheme reduces demodulation complexity by a factor of 32 as compared to that of the MIMO under specific modulation parameters.

AB - Index modulation (IM) is receiving attention because of its high energy efficiency. In precoding index modulation (PIM), some of the data bits are used for the modulation of symbols and the rest are used for the selection of precoding coefficients. In conventional PIM, the precoding matrices are orthogonal and unitary. In the proposed PIM, the number of the columns of the precoding matrix is expanded more than that of the rows. Because of the expanded precoding matrices, the number of data bits used for the selection of precoding coefficients is increased. As a result, a code rate can be reduced compared to that of the conventional PIM and the number of candidate constellation points for demodulation can be decreased as compared to that of a multiple-input multiple-output MIMO system under the same throughput. Numerical results obtained through computer simulation show that the proposed PIM with QPSK symbols improves the performance by about 2.5 dB at a bit error rate of 10− 3 as compared to overloaded MIMO with 16QAM symbols for two transmit antennas and one receive antenna. It also achieves about 3.5 dB better performance than the conventional PIM under the same antenna condition. Furthermore, the optimum number of index modulation bits is found by the simulation for the proposed PIM. In addition, the PIM scheme reduces demodulation complexity by a factor of 32 as compared to that of the MIMO under specific modulation parameters.

KW - Index modulation

KW - MIMO

KW - Precoding

UR - http://www.scopus.com/inward/record.url?scp=85063995505&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85063995505&partnerID=8YFLogxK

U2 - 10.1587/transcom.2018EBP3105

DO - 10.1587/transcom.2018EBP3105

M3 - Article

VL - E102B

SP - 921

EP - 929

JO - IEICE Transactions on Communications

JF - IEICE Transactions on Communications

SN - 0916-8516

IS - 4

ER -