Space-Frequency Coded Index Modulation With Linear-Complexity Maximum Likelihood Receiver in the MIMO-OFDM System

Wang, Lei; Chen, Zhigang; Gong, Zizheng; Wu, Ming

doi:10.1109/lsp.2016.2599020

Cited by 25 publications

(9 citation statements)

References 8 publications

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“…Similar to the proof of Theorem 2, Finally, utilizing the MGF approach in (32), P M can be obtained as in (21). This concludes the proof.…”

supporting

confidence: 60%

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Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty

Luong

Choi

2018

IEEE Trans. Wireless Commun.

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“…Similar to the proof of Theorem 2, Finally, utilizing the MGF approach in (32), P M can be obtained as in (21). This concludes the proof.…”

supporting

confidence: 60%

“…In [16], coded OFDM-IM is proposed to achieve a diversity gain for index detection. Several studies that extend the MCIK concept to multiple-input multiple-output (MIMO) system are presented in [17]- [21].…”

Section: Introductionmentioning

confidence: 99%

Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty

Luong

Choi

2018

IEEE Trans. Wireless Commun.

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“…In sub-GHz wireless communications, the IM scheme designed for the spatial domain [5], [7], [10] has been applied to the frequency domain [11]- [16], which is referred to as subcarrier-index modulation (SIM). Additionally, the spatial-domain IM has been extended to space-time [17], [18], space-frequency [19]- [21], and space-time-frequency communications [22], [23]. In parallel, the IM concept has improved the EE and reliability of mmWave communications [24]- [28] and visible light communications [29]- [31].…”

Section: Introductionmentioning

confidence: 99%

IMToolkit: An Open-Source Index Modulation Toolkit for Reproducible Research Based on Massively Parallel Algorithms

Ishikawa

2019

IEEE Access

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This paper presents a proposal of an open-source index modulation (IM) toolkit, which facilitates reproducible research and accelerates open innovation in IM studies. The proposed toolkit is implemented based on massively parallel algorithms that are designed for state-of-the-art graphics processing units (GPUs). Since high-performance GPUs are available at low cost, along with the intensive development in deep learning, this toolkit achieves large scale but significantly fast Monte Carlo simulations at low cost. Two large-tensor-based parallel algorithms are introduced for bit error ratio and average mutual information simulations. Additionally, the design of active indices is newly formulated into an integer linear programming problem that guarantees optimality, which is applicable to the generalized spatial modulation and subcarrier-index modulation schemes. Performance comparisons demonstrated that the proposed GPU-aided algorithms were up to 145 times faster than the conventional CPU-aided efficient counterparts. Furthermore, the designed active indices achieved the theoretical optimum performance in contrast to widely used conventional methods. A comprehensive database of these designed active indices is released online and is available to any researcher.

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“…In [4], a combination of MCIK-OFDM and space time block codes was proposed to achieve an additional coding gain. Meanwhile, the space-frequency coded index modulation (SFC-IM) scheme has been proposed in [5], which can attain a diversity order of 2 with the deployment of multiple-input multiple-output (MIMO) structure. The concept of MIMO-OFDM-IM was investigated in [6].…”

Section: Introductionmentioning

confidence: 99%

“…In fact, most of the aforementioned papers have focused on the improvement in the spectral efficiency such as [8], [9], [10], [11], which may not be suitable for MTC applications being sensitive more to a very low error rate than a high data rate. While some researchers use quite complicated designs of transceivers like [4], [3], some efforts have been made to use multiple antennas to achieve a spatial diversity gain in [5], [6], [7]. However, these may not meet the requirement of a simple and flexible operation of MTC devices that are low-cost and too small to equip more than one antenna.…”

Section: Introductionmentioning

confidence: 99%

A closed-form symbol error probability for MCIK-OFDM with frequency diversity

Luong

2017

2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

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This paper proposes a novel scheme of Multicarrier Index Keying-Orthogonal Frequency Division Multiplexing (MCIK-OFDM), called as repeated MCIK-OFDM (ReMO), which is capable of improving the error performance compared to classical MCIK-OFDM for a given spectral efficiency. Similar to the classical MCIK-OFDM, ReMO activates only a subset of sub-carriers to carry information bits by the use of both the active sub-carriers and their indices. However, unlike the classical scheme, ReMO exploits the frequency diversity such that the same M-ary data symbol is repeatedly used to modulate all the active sub-carriers. To gain an insight into the ReMO performance, a closed-form expression for the symbol error probability (SEP) is derived. This expression can help us analyze the impact of the ReMO parameters on the symbol error performance and suggest the best ReMO setup to minimize the error probability. Through both theoretical and simulation results, ReMO is successfully proved to provide significantly better diversity order as well as SEP error performance over the conventional OFDM and MCIK-OFDM at the same spectral efficiency.

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Space-Frequency Coded Index Modulation With Linear-Complexity Maximum Likelihood Receiver in the MIMO-OFDM System

Cited by 25 publications

References 8 publications

Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty

Repeated MCIK-OFDM With Enhanced Transmit Diversity Under CSI Uncertainty

IMToolkit: An Open-Source Index Modulation Toolkit for Reproducible Research Based on Massively Parallel Algorithms

A closed-form symbol error probability for MCIK-OFDM with frequency diversity

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