Radio parameter design for OFDM-based millimeter-wave systems

Huang, Lei; Wang, Yi; Shi, Zhenyu; Wen, Rong

doi:10.1109/pimrc.2016.7794620

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Recently, the millimeter wave (mmWave) communication is regarded as one of the most potential solutions for the exponentially expanding wireless data traffic in the future, due to the wide usable spectrum in the millimeter waveband [4], [5]. Almost all mobile communication systems today use spectrum in the range of 300 MHz-5 GHz, while the mmWave systems typically use frequencies at 6 GHz-100 GHz (although the wavelength of 6 GHz-30 GHz is actually in centimeter level) [6], [7]. The mmWave systems enable gigabit-per-second data rates to meet the future demands for mobile traffic by leveraging the abundant frequency spectrum resource.…”

Section: Introductionmentioning

confidence: 99%

“…To compensate for huge pathloss of communication in mmWave bands, MIMO technique is fundamental for providing beamforming gain to ensure coverage of a serving cell [8]- [10]. To fully exploit the ultra-wideband communication resources of mmWave communication, OFDM method is necessary for communication systems to convert the frequency-selective fading channels into a parallel collection of frequency-flat sub-channels and reducing ISI [7]. Therefore, the combination of mmWave, MIMO and OFDM has been considered as a promising technology for the wireless communication systems [11]- [13].…”

Section: Introductionmentioning

confidence: 99%

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Channel Prediction for Millimeter Wave MIMO-OFDM Communications in Rapidly Time-Varying Frequency-Selective Fading Channels

Lin

Yang

2019

IEEE Access

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The millimeter wave (mmWave) multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems communicate at the extremely high-frequency band. In the extremely high band, the channel state information (CSI) from channel estimation will be outdated quickly, and herein, seriously degrading the system performance. In this paper, we focus on the channel prediction to obtain prior CSI in mmWave MIMO-OFDM systems. First, the mmWave MIMO-OFDM channel is categorized and represented in four domains: the array-frequency, array-time, angle-frequency, as well as angle-time. Then, for the above four domains, we investigate the effects of the channel representations on channel prediction, and analyze the mean-squared error performance as well as the computational complexity of the investigated prediction methods. We derive that the angle-time-domain prediction method achieves higher accuracy than the other three prediction techniques. In addition, we propose an enhanced angle-timedomain channel predictor by exploiting the spatial-time sparsity of the MIMO-OFDM channel to further improve the prediction accuracy. Finally, the simulation results confirm the statistical analysis and verify the superiority of the proposed predictors.INDEX TERMS Channel prediction, channel representations, millimeter wave, sparse channel, MIMO-OFDM systems.

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Section: Introductionmentioning

confidence: 99%