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Linear precoded index modulation

Linear precoded index modulation
Linear precoded index modulation
Index modulation (IM) is an attractive concept for next generation communication systems. However, as an emerging technique, there are still some challenges need to be tackled in this frontier. In this paper, we consider two aspects of IM, which are diversity and detection complexity. Specifically, we propose a linear precoding assisted index modulation (LPIM) scheme for orthogonal frequency division multiplexing (OFDM) systems. We commence by analyzing the diversity and coding gains of the proposed scheme. Moreover, a detailed codebook design criterion is proposed. Then, our LPIM codebook is designed based on the maximum diversity and coding gain criteria. In contrast to the signaling model of the existing full diversity precoder designed for OFDM, we introduce a modeling method to link the zero-valued IM symbols to the origin of a Lattice for implementing our full diversity precoder designed for OFDM-IM. Both analytical and computer simulation results are provided for characterizing the attainable performance of OFDM-LPIM, demonstrating that it is capable of achieving full diversity as well as an attractive coding gain. However, the maximum-likelihood (ML) detection complexity of OFDM-LPIM
is excessive, hence a low-complexity generalized iterative residual check detector (GIRCD) is proposed, which is inspired by the existing sparse recovery algorithms. Finally, computer simulation results are provided for demonstrating that GIRCD can provide a beneficial trade-off between bit error ratio performance and complexity.
0090-6778
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Basar, Ertugrul
92514edb-d6b9-48bc-8e33-7d705e55605c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhang, Hongming
ebd930db-9cd8-43ff-8b73-92c1d7f0108b
Jiang, Chunxiao
16bad068-43b1-41d4-9f6b-211acdb1ae52
Yang, Lieliang
ae425648-d9a3-4b7d-8abd-b3cfea375bc7
Basar, Ertugrul
92514edb-d6b9-48bc-8e33-7d705e55605c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhang, Hongming, Jiang, Chunxiao, Yang, Lieliang, Basar, Ertugrul and Hanzo, Lajos (2018) Linear precoded index modulation. IEEE Transactions on Communications. (doi:10.1109/TCOMM.2018.2873336).

Record type: Article

Abstract

Index modulation (IM) is an attractive concept for next generation communication systems. However, as an emerging technique, there are still some challenges need to be tackled in this frontier. In this paper, we consider two aspects of IM, which are diversity and detection complexity. Specifically, we propose a linear precoding assisted index modulation (LPIM) scheme for orthogonal frequency division multiplexing (OFDM) systems. We commence by analyzing the diversity and coding gains of the proposed scheme. Moreover, a detailed codebook design criterion is proposed. Then, our LPIM codebook is designed based on the maximum diversity and coding gain criteria. In contrast to the signaling model of the existing full diversity precoder designed for OFDM, we introduce a modeling method to link the zero-valued IM symbols to the origin of a Lattice for implementing our full diversity precoder designed for OFDM-IM. Both analytical and computer simulation results are provided for characterizing the attainable performance of OFDM-LPIM, demonstrating that it is capable of achieving full diversity as well as an attractive coding gain. However, the maximum-likelihood (ML) detection complexity of OFDM-LPIM
is excessive, hence a low-complexity generalized iterative residual check detector (GIRCD) is proposed, which is inspired by the existing sparse recovery algorithms. Finally, computer simulation results are provided for demonstrating that GIRCD can provide a beneficial trade-off between bit error ratio performance and complexity.

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Accepted/In Press date: 21 September 2018
e-pub ahead of print date: 2 October 2018

Identifiers

Local EPrints ID: 423506
URI: http://eprints.soton.ac.uk/id/eprint/423506
ISSN: 0090-6778
PURE UUID: 3071e04a-f9e3-4e5c-941a-4fdf2ac1cb2b
ORCID for Lieliang Yang: ORCID iD orcid.org/0000-0002-2032-9327
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

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Date deposited: 25 Sep 2018 16:30
Last modified: 15 Sep 2021 01:42

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Contributors

Author: Hongming Zhang
Author: Chunxiao Jiang
Author: Lieliang Yang ORCID iD
Author: Ertugrul Basar
Author: Lajos Hanzo ORCID iD

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