Successive Multipath Interference Cancellation for CP-Free OFDM Systems

Liu, Xiqing; Chen, Hsiao‐Hwa; Meng, Weixiao; Lyu, Boyu

doi:10.1109/jsyst.2018.2838663

Cited by 16 publications

(10 citation statements)

References 21 publications

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“…In the WINNNERII channel, the carrier frequency is 2.6 GHz, the number of paths is 24, and typical urban channels with max delay 16 samples are used, which is also consistent with the channel models in [25] and [26]. For the SUI channel, the delay spreads are [0, 4,10] and the corresponding average powers of the three paths are [0 dB, -5 dB, -10 dB]. The types of modulation are 16-QAM and 64-QAM.…”

Section: A Parameters Settingmentioning

confidence: 91%

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Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test

et al. 2019

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Orthogonal frequency division multiplexing (OFDM), usually with sufficient cyclic prefix (CP), has been widely applied in various communication systems. The CP in OFDM consumes additional resource and reduces spectrum and energy efficiency. However, channel estimation and signal detection are very challenging for CP-free OFDM systems. In this paper, we propose a novel artificial intelligence (AI)aided receiver (AI receiver) for a CP-free OFDM system. The AI receiver includes a channel estimation neural network (CE-NET) and a signal detection neural network based on orthogonal approximate message passing (OAMP), called OAMP-NET. The CE-NET is initialized by the least-square channel estimation algorithm and refined by a linear minimum mean-squared error neural network. The OAMP-NET is established by unfolding the iterative OAMP algorithm and adding several trainable parameters to improve the detection performance. We first investigate their performance under different channel models through extensive simulation and then establish a real transmission system using a 5G rapid prototyping system for an over-the-air (OTA) test. Based on our study, the AI receiver can estimate

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Section: A Parameters Settingmentioning

confidence: 91%

“…A CP-free OFDM scheme in [5], called symbol cyclic-shift equalization algorithm, includes decision-feedback equalization (DFE) and CP restoration units. To deal with the sensitivity of DFE to the feedback delay, stored feedback equalization is used in [10] to eliminate the ISI, which however causes low detection accuracy.…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test

et al. 2019

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“…The interference from the previous OFDM blocks, corresponding to the second term in (2), must be eliminated to apply the OAMP algorithm. As depicted in Fig.…”

Section: Oamp-net For Cp-free Ofdmmentioning

confidence: 99%

“…In many environments, the transmitted signal experiences multiple paths with different delays, which causes intersymbol interference (ISI) and intercarrier interference (ICI) at the receiver [1]. The ISI and ICI can be considerably mitigated by inserting sufficient cyclic prefixes (CPs) at a transmitter and properly choosing OFDM symbol duration [2,3]. However, adding a CP in OFDM consumes additional bandwidth and consequently reduces spectrum efficiency, transmission rate, and energy efficiency, which motivates CP-free OFDM.…”

Section: Introductionmentioning

confidence: 99%

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

Zhang

Wen

et al. 2019

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

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Channel estimation and signal detection are very challenging for an orthogonal frequency division multiplexing (OFDM) system without cyclic prefix (CP). In this article, deep learning based on orthogonal approximate message passing (DL-OAMP) is used to address these problems. The DL-OAMP receiver includes a channel estimation neural network (CE-Net) and a signal detection neural network based on OAMP, called OAMP-Net. The CE-Net is initialized by the least square channel estimation algorithm and refined by minimum mean-squared error (MMSE) neural network. The OAMP-Net is established by unfolding the iterative OAMP algorithm and adding some trainable parameters to improve the detection performance. The DL-OAMP receiver is with low complexity and can estimate time-varying channels with only a single training. Simulation results demonstrate that the biterror rate (BER) of the proposed scheme is lower than those of competitive algorithms for high-order modulation.

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“…Unlike current interference removal methods, this method effectively reduces computational complexity while providing a balance between hardware application complexity and detection latency. Liu et al proposed a CP-free OFDM design with a sequential multipath interference cancellation (SMIC) algorithm that removes ISI prior to the fast Fourier transform (FFT) in the receiver that does not require CP and uses stored feedback equalization (SFE) [7]. In the proposed study, the SFE process leaves a CP interval between adjacent OFDM frames and the CP is reproduced with predicted information.…”

Section: Introductionmentioning

confidence: 99%

A new FWHT‐CMF‐DFE based approach for channel equalization in CP‐free OFDM systems

et al. 2021

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Orthogonal frequency division multiplexing (OFDM) has been widely used in wireless communication systems due to its robustness against the frequency selectivity of fading channels. It provides optimal performance and it also meets the requirements of the next generation communication systems. Although OFDM has these advantages, its spectrum efficiency is usually degraded significantly due to the use of cyclic prefix (CP). In this paper, motivated to deal with this issue, the combined structure of Fast Walsh-Hadamard Transform (FWHT) and Time Domain Equalizer (TDE) is proposed to use in CP-free OFDM systems. The results validated by Monte Carlo simulations decipher the improved performances in terms of spectral efficiencies, bit error rate, peak to average power ratio and out of band emission for using this structure over frequency selective multipath fading channels in CP-free OFDM systems. The acquired simulation results have illustrated that the proposed method provides 20% spectral efficiency without compromising the BER performance.

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Successive Multipath Interference Cancellation for CP-Free OFDM Systems

Cited by 16 publications

References 21 publications

Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test

Artificial Intelligence-Aided Receiver for a CP-Free OFDM System: Design, Simulation, and Experimental Test

Deep Learning Based on Orthogonal Approximate Message Passing for CP-Free OFDM

A new FWHT‐CMF‐DFE based approach for channel equalization in CP‐free OFDM systems

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