Iterative receiver for clipped GFDM signals

Sendrei, Lukas; Marchevsky, S.; Michailow, Nicola; Fettweis, Gerhard

doi:10.1109/radioelek.2014.6828483

Cited by 26 publications

(16 citation statements)

References 12 publications

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“…We have also observed that GFDM, OFDM, and SC-FDMA have similar OOB emission performance for our setup, whereas FBMC significantly outperforms all other waveforms. We conclude by noting that the PAPR and OOB emission performance is highly dependent on the selected parameters and studies with similar parameter settings for single-antenna systems support our findings [14], [15], [17].…”

Section: Discussionsupporting

confidence: 82%

Linear large-scale MIMO data detection for 5G multi-carrier waveform candidates

Tunali

Dick

et al. 2015

2015 49th Asilomar Conference on Signals, Systems and Computers

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Abstract-Fifth generation (5G) wireless systems are expected to combine emerging transmission technologies, such as large-scale multipleinput multiple-output (MIMO) and non-orthogonal multi-carrier waveforms, to improve the spectral efficiency and to reduce out-of-band (OOB) emissions. This paper investigates the efficacy of two promising multi-carrier waveforms that reduce OOB emissions in combination with large-scale MIMO, namely filter bank multi-carrier (FBMC) and generalized frequency division multiplexing (GFDM). We develop novel, low-complexity data detection algorithms for both of these waveforms. We investigate the associated performance/complexity trade-offs in the context of large-scale MIMO, and we study the peak-to-average power ratio (PAPR). Our results show that reducing the OOB emissions with FBMC and GFDM leads to higher computational complexity and PAPR compared to that of orthogonal frequency-division multiplexing (OFDM) and single-carrier frequency division multiple access (SC-FDMA).

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Section: Discussionsupporting

confidence: 82%

Linear large-scale MIMO data detection for 5G multi-carrier waveform candidates

Tunali

Dick

et al. 2015

2015 49th Asilomar Conference on Signals, Systems and Computers

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“…After the signal is given a nonlinear distortion then the signal is transmitted through the channel and given the AWGN noise so the equation becomes [4]: The next process is to pass the equalizer after the removal of CP at the receiver side. Zero Forcing Receiver as follows [21]:…”

Section: Wherementioning

confidence: 99%

“…Where + can be computed with + = ( ) −1 . Then after equalizer is demodulation process of GFDM by converting it to the frequency domain, precisely by multiplying the transpose form from matrix Ai and Aq result IFFT with the signal transmitted after CP reduction [21]. The above results are still parallel and then serialized for demodulation process in the next stage using Parallel to Serial converter at receiver.…”

Section: Wherementioning

confidence: 99%

Partial Transmit Sequence and Selected Mapping Schemes for PAPR Reduction in GFDM Systems

Jayati¹,

Wirawan²,

Suryani³

et al. 2019

IJIES

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Generalized Frequency Division Multiplexing (GFDM) is one of the 5G candidates to overcome the shortcomings of Orthogonal Frequency Division Multiplexing (OFDM), high peak rating power ratio (PAPR), and high Out of Band (OOB) radiation. GFDM has a low PAPR due to the use of a number of subcarriers. The purpose of this paper is to compare the two algorithms to reduce PAPR if applied to the non-linear distortion-affected GFDM system. Partial Transmit Sequence (PTS) and Selected Mapping (SLM) are selected because these techniques do not distort the signal, so they do not change the spectrum of the signal. The simulation result shows PAPR GFDM is not significantly affected by nonlinear distortion. After being given the PTS technique, the PAPR value on GFDM dropped to 5 dB. Meanwhile, after being given a selective mapping technique, the PAPR value in GFDM dropped to 6.2 dB.. However, for a 5G application with thousands of devices, this value should still be reduced. After being given a PTS, the PAPR value drops to the value according to the 5G criterion. Better PTS performance decreases PAPR for GFDM systems that are given nonlinear distortion when compared to SLM.

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“…This receiver structure is the modification of the scheme introduced in [10], i.e. the receiver is extended by the interleaving and channel coding block, respectively, and the corresponding inverse operations.…”

Section: Iterative Nonlinear Noise Mitigation Gfdm Receivermentioning

confidence: 99%

Nonlinear noise estimation and compensation in GFDM based communication systems for cognitive radio networks

Sendrei

Marchevsky

2015

2015 25th International Conference Radioelektronika (RADIOELEKTRONIKA)

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Generalized Frequency Division Multiplexing (GFDM) might be a promising candidate for deployment in cognitive radio networks and for 5G wireless communication.It is a non-orthogonal multicarrier modulation scheme based on flexible pulse shaping. However, given by the high signal amplitude fluctuation, the performance of GFDM systems is highly degraded due to the distortion caused by the nonlinear nature of high power amplifier (HPA). In this article, we investigate the effects of nonlinearities in GFDM and introduce an iterative receiver scheme to reduce the error probability of GFDM signals undergoing nonlinear amplification. The proposed technique is based on successive estimation and cancellation of the in-band distortion introduced by the nonlinear nature of the HPA characteristics. The performance improvement of the iterative receiver structure is expressed by the bit error performance and error vector magnitude.

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Iterative receiver for clipped GFDM signals

Cited by 26 publications

References 12 publications

Linear large-scale MIMO data detection for 5G multi-carrier waveform candidates

Linear large-scale MIMO data detection for 5G multi-carrier waveform candidates

Partial Transmit Sequence and Selected Mapping Schemes for PAPR Reduction in GFDM Systems

Nonlinear noise estimation and compensation in GFDM based communication systems for cognitive radio networks

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