An adaptive QR-based energy efficient signal detection scheme in MIMO-OFDM systems

Ro, Jae-Hyun; Yu, Shukun; You, Young-Hwan; Hong, Sung Kyung; Song, Hyoung‐Kyu

doi:10.1016/j.comcom.2019.10.017

Cited by 7 publications

(7 citation statements)

References 9 publications

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“…The PAPR can be expressed as follows P AP R = 10 log 10 P peak P avg (4) where the OFDM symbol's peak power is Ppeak and the average power is Pavg. PAPR0 is defined as follows.…”

Section: Papr Effect On Characteristics Of Conventional Siso-ofdm Systemmentioning

confidence: 99%

“…The block of data is transmitted M times faster as in comparison with a single carrier system [3]. A modulator for OFDM is constructed on a block of M data symbols using inverse Discrete Fourier Transform (IDFT) trailed by analog-to-digital converter (ADC), a G sampled guard interval or an cyclic prefix (CP) who's length is equal to or greater than the channels length is used to lead the coefficients of M IDFT block [4,5]. Each antenna's in wireless medium gets the OFDM signals from source end Inverse Fast Fourier Transform (IFFT) and the destination end uses the fast Fourier Transform (FFT) to process a signal at the fastest rate.…”

Section: Introductionmentioning

confidence: 99%

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Implementation of an Effective Hybrid Partial Transmit Sequence Model for Peak to Average Power Ratio in MIMO OFDM System

Shivaji

Nataraj²,

Mallikarjunaswamy

et al. 2021

Lecture Notes in Electrical Engineering

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In this paper, we have proposed an effective hybrid partial transmit sequence (EHPTS), which addresses the problem of peak-to-average power ratio (PAPR) in a reconfigurable high-speed multi-input, multi-output orthogonal frequency division multiplexing (RHS-MIMO-OFDM) technology and efficiency minimizes PAPR in orthogonal frequency division multiplexing (OFDM).But the PTS technique needs to analysis all the probability of phase rotation factors which results in increases of mathematical model computation complexity grows exponentially with the increase of various subcarrier and sub-blocks. To reduce the analysis complexity, we propose a method mainly operated on to select the optimized phase factors to reduce the high PAPR. The proposed RHS-MIMO-OFDM system incorporated the novel local analysis operations that are designed and implemented to explore the optimum phase factors. The results of the simulation show that the proposed EHPTS method are reduced PAPR effects on OFDM system when it compared to the conventional PTS techniques (U = 4).

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“…The PAPR can be expressed as follows P AP R = 10 log 10 P peak P avg (4) where the OFDM symbol's peak power is Ppeak and the average power is Pavg. PAPR0 is defined as follows.…”

Section: Papr Effect On Characteristics Of Conventional Siso-ofdm Systemmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Implementation of an Effective Hybrid Partial Transmit Sequence Model for Peak to Average Power Ratio in MIMO OFDM System

Shivaji

Nataraj²,

Mallikarjunaswamy

et al. 2021

Lecture Notes in Electrical Engineering

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“…9,10 Fully connected deep neural network (FCDNN) is developed as DL-based CE and signal identification technique for OFDM systems that directly recovers the broadcast symbols and estimates the CSI indirectly. 11,12 Consider the super-resolution network cascade with de-noising imagery renovation network to evaluate single-input singleoutput (SISO) fast fading channel while treating the pilot data as a low resolution image. 13 The end-to-end DL is employed for signal transmitting and receiving with communication being deemed as a black-box.…”

Section: Introductionmentioning

confidence: 99%

Dual interactive Wasserstein generative adversarial networks optimized with hybrid Archimedes optimization and chimp optimization algorithm‐based channel estimation in OFDM

Mydhili

2024

Int J Communication

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SummaryDual interactive Wasserstein generative adversarial networks optimized with hybrid Archimedes optimization and chimp optimization algorithm‐based channel estimation in OFDM (DiWGAN‐Hyb AOA‐COA‐MIMO‐OFDM) is proposed in this manuscript. In OFDM, there is a non‐stationary channel physical appearance during channel estimation (CE). Therefore in this work, Hyb AOA‐COA is employed to enhance the DiWGAN weight parameters. The proposed DiWGAN‐Hyb AOA‐COA‐MIMO‐OFDM technique is executed in network simulator (NS2) tool. The proposed technique attains lower computational cost 99.67%, 92.34%, and 97.45%; lesser bit error rate 98.33%, 83.12%, and 88.96%; and lesser mean square error 93.15%, 79.90%, and 92.88% compared with existing methods, like MIMO‐OFDM system using deep neural network and MN‐based improved AMO model (DNN‐IAMO‐MIMO‐OFDM), MIMO‐OFDM systems using the deep learning and optimization (RBFNN‐PSO‐MIMO‐OFDM), and MIMO‐OFDM systems using hybrid neural network (HNN‐CSI‐MIMO‐OFDM) respectively.

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“…Multiple-input multiple-output (MIMO) technology has been studied in the wireless communication systems since tremendous increase of channel capacity is implemented [2][3][4][5][6][7]. In the MIMO systems, accurate signal detection is one of the main issues and various researches for the MIMO detection have been proposed for efficient signal detection [8][9][10][11]. Among various MIMO detection techniques, a maximum likelihood (ML) detection has optimal error performance.…”

Section: Introductionmentioning

confidence: 99%

Improved MIMO Signal Detection Based on DNN in MIMO-OFDM System

Ro¹,

Ha²,

Lee³

et al. 2022

Computers, Materials &Amp; Continua

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This paper proposes the multiple-input multiple-output (MIMO) detection scheme by using the deep neural network (DNN) based ensemble machine learning for higher error performance in wireless communication systems. For the MIMO detection based on the ensemble machine learning, all learning models for the DNN are generated in offline and the detection is performed in online by using already learned models. In the offline learning, the received signals and channel coefficients are set to input data, and the labels which correspond to transmit symbols are set to output data. In the online learning, the perfectly learned models are used for signal detection where the models have fixed bias and weights. For performance improvement, the proposed scheme uses the majority vote and the maximum probability as the methods of the model combinations for obtaining diversity gains at the MIMO receiver. The simulation results show that the proposed scheme has improved symbol error rate (SER) performance without additional receive antennas.

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An adaptive QR-based energy efficient signal detection scheme in MIMO-OFDM systems

Cited by 7 publications

References 9 publications

Implementation of an Effective Hybrid Partial Transmit Sequence Model for Peak to Average Power Ratio in MIMO OFDM System

Implementation of an Effective Hybrid Partial Transmit Sequence Model for Peak to Average Power Ratio in MIMO OFDM System

Dual interactive Wasserstein generative adversarial networks optimized with hybrid Archimedes optimization and chimp optimization algorithm‐based channel estimation in OFDM

Improved MIMO Signal Detection Based on DNN in MIMO-OFDM System

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