OFDM With Index Modulation Using Coordinate Interleaving

In this paper, a new Space-Time Block Coded Spatial Modulation (SM) scheme based on the Golden Code, called the In this paper, we evaluate the symbol error performance of an extended Index Modulation for Orthogonal Frequency Division Multiplexing (IM-OFDM), namely repeated index modulation-OFDM with coordinated interleaving (abbreviated as ReCI), over the Nakagami-m fading channel. The ReCI system attains higher error performance than the conventional IM-OFDM with coordinate interleaving (IMOFDM-CI). In order to investigate the system performance over the Nakagami-m fading channel, we derive the closed-form expressions for the symbol error probability (SEP) and the bit error probability (BEP). The analytical results give interesting insights into the dependence of SEP on system parameters. Their tightness is also validated by numerical results, which show that our proposed scheme can provide considerably better error performance than the conventional IM-OFDM and IM-OFDM-CI at the same spectral efficiency.

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Performance Analysis of Repeated Index Modulation with Coordinate Interleaving over Nakagami-m Fading Channel

Research and Development on Information and Communication Technology ◽

10.32913/rd-ict.vol2019.no1.863 ◽

2019 ◽

Vol 2019 (1) ◽

Author(s):

Le Thi Thanh Huyen ◽

Tran Xuan Nam

Keyword(s):

Fading Channel ◽

Orthogonal Frequency Division Multiplexing ◽

Error Probability ◽

Spatial Modulation ◽

Error Performance ◽

New Space ◽

Golden Code ◽

Coordinate Interleaving ◽

Repeated Index ◽

Index Modulation

In this paper, a new Space-Time Block Coded Spatial Modulation (SM) scheme based on the Golden Code, called the In this paper, we evaluate the symbol error performance of an extended Index Modulation for Orthogonal Frequency Division Multiplexing (IM-OFDM), namely repeated index modulation-OFDM with coordinated interleaving (abbreviated as ReCI), over the Nakagami-m fading channel. The ReCI system attains higher error performance than the conventional IM-OFDM with coordinate interleaving (IMOFDM-CI). In order to investigate the system performance over the Nakagami-m fading channel, we derive the closed-form expressions for the symbol error probability (SEP) and the bit error probability (BEP). The analytical results give interesting insights into the dependence of SEP on system parameters. Their tightness is also validated by numerical results, which show that our proposed scheme can provide considerably better error performance than the conventional IM-OFDM and IM-OFDM-CI at the same spectral efficiency. DOI: 10.32913/mic-ict-research.v2019.n1.863

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Repeated Index Modulation-OFDM With Coordinate Interleaving: Performance Optimization and Low-Complexity Detectors

IEEE Systems Journal ◽

10.1109/jsyst.2020.3029072 ◽

2020 ◽

pp. 1-9

Author(s):

Thi Thanh Huyen Le ◽

Xuan Nam Tran ◽

Vu-Duc Ngo ◽

Minh-Tuan Le

Keyword(s):

Performance Optimization ◽

Low Complexity ◽

Coordinate Interleaving ◽

Repeated Index ◽

Index Modulation

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Outage Performance of Multi-Carrier Relay Selections in Multi-Hop OFDM with Index Modulation

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.2019eal2127 ◽

2020 ◽

Vol E103.A (3) ◽

pp. 638-642

Author(s):

Pengli YANG ◽

Fuqi MU

Keyword(s):

Outage Performance ◽

Index Modulation

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Compressive Sensing Audio Watermarking dengan Metode LWT dan QIM

ELKOMIKA Jurnal Teknik Energi Elektrik Teknik Telekomunikasi & Teknik Elektronika ◽

10.26760/elkomika.v6i3.405 ◽

2018 ◽

Vol 6 (3) ◽

pp. 405

Author(s):

IRMA SAFITRI ◽

NUR IBRAHIM ◽

HERLAMBANG YOGASWARA

Keyword(s):

Wavelet Transform ◽

Compressive Sensing ◽

Audio Watermarking ◽

Quantization Index Modulation ◽

Computationally Efficient ◽

Black And White ◽

Additional Information ◽

Audio Files ◽

Index Modulation ◽

Mp3 Compression

ABSTRAKPenelitian ini mengembangkan teknik Compressive Sensing (CS) untuk audio watermarking dengan metode Lifting Wavelet Transform (LWT) dan Quantization Index Modulation (QIM). LWT adalah salah satu teknik mendekomposisi sinyal menjadi 2 sub-band, yaitu sub-band low dan high. QIM adalah suatu metode yang efisien secara komputasi atau perhitungan watermarking dengan menggunakan informasi tambahan. Audio watermarking dilakukan menggunakan file audio dengan format *.wav berdurasi 10 detik dan menggunakan 4 genre musik, yaitu pop, classic, rock, dan metal. Watermark yang disisipkan berupa citra hitam putih dengan format *.bmp yang masing-masing berukuran 32x32 dan 64x64 pixel. Pengujian dilakukan dengan mengukur nilai SNR, ODG, BER, dan PSNR. Audio yang telah disisipkan watermark, diuji ketahanannya dengan diberikan 7 macam serangan berupa LPF, BPF, HPF, MP3 compression, noise, dan echo. Penelitian ini memiliki hasil optimal dengan nilai SNR 85,32 dB, ODG -8,34x10-11, BER 0, dan PSNR ∞.Kata kunci: Audio watermarking, QIM, LWT, Compressive Sensing. ABSTRACTThis research developed Compressive Sensing (CS) technique for audio watermarking using Wavelet Transform (LWT) and Quantization Index Modulation (QIM) methods. LWT is one technique to decompose the signal into 2 sub-bands, namely sub-band low and high. QIM is a computationally efficient method or watermarking calculation using additional information. Audio watermarking was done using audio files with *.wav format duration of 10 seconds and used 4 genres of music, namely pop, classic, rock, and metal. Watermark was inserted in the form of black and white image with *.bmp format each measuring 32x32 and 64x64 pixels. The test was done by measuring the value of SNR, ODG, BER, and PSNR. Audio that had been inserted watermark was tested its durability with given 7 kinds of attacks such as LPF, BPF, HPF, MP3 Compression, Noise, and Echo. This research had optimal result with SNR value of 85.32 dB, ODG value of -8.34x10-11, BER value of 0, and PSNR value of ∞.Keywords: Audio watermarking, QIM, LWT, Compressive Sensing.

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