GFDM BER Under Synchronization Errors

Gaspar, Danilo; Mendes, Luciano Leonel; Pimenta, Tales Cleber

doi:10.1109/lcomm.2017.2694837

Cited by 35 publications

(13 citation statements)

References 8 publications

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“…where Ω[k] are the coefficients of the AR model parameters and can be obtained by computing the Yule-Walker (YW) equation defined by Equations (16) and (17).…”

Section: Channel Descriptionmentioning

confidence: 99%

“…Various FBMC systems have been considered as potential waveforms for the emerging 5G networks of wireless systems and beyond. These include filter bank orthogonal frequency division multiplexing with offset quadrature amplitude modulation (OFDM-OQAM) [11,12], universal filtered multi-carrier (UFMC) [13,14], bi-orthogonal frequency division multiplexing (BFDM) [15,16] and generalised frequency division multiplexing (GFDM) [17,18]. The concept of perfect reconstruction (PR) or near perfect reconstruction (NPR) is used to design the aforementioned FBMC waveforms where well-designed prototype filters are used to design the synthesis and analysis filter banks of these FBMC based transceivers.…”

Section: Introductionmentioning

confidence: 99%

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Review of Channel Estimation for Candidate Waveforms of Next Generation Networks

et al. 2019

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The advancement in wireless communication applications encourages the use of effective and efficient channel estimation (CE) techniques because of the varying behaviour of the Rayleigh fading channel. In most cases, the emphasis of most proposed CE schemes is to improve the CE performance and complexity for ensuring quality signal reception and improved system throughput. Candidate waveforms whose designs are based on filter bank multi-carrier (FBMC) modulation techniques such as filter bank orthogonal frequency division multiplexing based on offset quadrature amplitude modulation (OFDM-OQAM), universal filtered multicarrier (UFMC) and generalised frequency division multiplexing based on offset quadrature amplitude modulation (GFDM-OQAM) are no exception to the use of these proposed CE techniques in the literature. These schemes are considered as potential waveform candidates for the physical/media access control layer of the emerging fifth generation (5G) networks. Therefore, pinpoint CE techniques represent an important requirement for these waveforms to attain their full potentials. In this regard, this paper reviews the concept of CE as applicable to these waveforms as well as other waveform candidates under consideration in the emerging 5G networks. Since the design of the majority of the waveform candidates is filter based, a review of the general filter design considerations is presented in this paper. Secondly, we review general CE techniques for candidate waveforms of next generation networks and classify some of the studied CE techniques. In particular, we classify the CE schemes used in filter bank OFDM-OQAM and GFDM-OQAM based transceivers and present a performance comparison of some of these CE schemes. Besides, the paper reviews the performances of two linear CE schemes and three adaptive based CE schemes for two FBMC based waveform candidates assuming near perfect reconstruction (NPR) and non-perfect reconstruction (Non-PR) filter designs over slow and fast frequency selective Rayleigh fading channels. The results obtained are documented through computer simulations, where the performances of the studied CE schemes in terms of the normalised mean square error (NMSE) are analysed. Lastly, we summarise the findings of this work and suggest possible research directions in order to improve the potentials of the studied candidate waveforms over Rayleigh fading channels.

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“…where Ω[k] are the coefficients of the AR model parameters and can be obtained by computing the Yule-Walker (YW) equation defined by Equations (16) and (17).…”

Section: Channel Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Review of Channel Estimation for Candidate Waveforms of Next Generation Networks

et al. 2019

View full text Add to dashboard Cite

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“…As a multicarrier technology compared with OFDM, one of the biggest advantages of GFDM is the low peak-toaverage ratio (PAPR); [9] gives a detailed PAPR performance of GFDM. However, the structure causes difficulty in channel estimation, which makes it unusable in UWA communication whose channel condition is more complicated than that of radio communications [10][11][12]. Therefore, we propose a communication system which combines GFDM with spread spectrum technology.…”

Section: Generalized Frequency Division Multiplexing Technologymentioning

confidence: 99%

Emerging 5G Multicarrier Chaotic Sequence Spread Spectrum Technology for Underwater Acoustic Communication

Qiao

Pengbin

2018

Complexity

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Generalized frequency division multiplexing (GFDM) is a newly introduced technique for the wireless fifth-generation (5G) standard based on multicarrier filter bank theory, which has the advantage of flexibility in setting the number of subcarriers and subblocks. The application of GFDM in underwater acoustic (UWA) communication can take full advantage of the limited spectral resources, which is a prime limitation in UWA communication and will promote the development of UWA network technology. However, the multicarrier communication technique utilized in radio 5G communication offers difficulty in channel estimation, and the influence of a channel cannot be ignored especially in the UWA communication field. Therefore, GFDM cannot be implemented directly in UWA communication; to solve this problem, a system combining chaotic sequence spread spectrum technology with GFDM is proposed, which is a novel technique with high spectrum efficiency. Simulation and experimental results verified the effectiveness of the proposed system.

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“…This paper proposes the scheme to predict the BER under synchronization errors andevaluates the performance loss introduced by the synchronization [5]. GFDM which makes more widespread of timefrequency mapping of modulated signals and acquires the cyclic prefix block signalling structure from OFDM.…”

Section: Introductionmentioning

confidence: 99%

BER analysis of concatenated levels of encoding in GFDM system using labview

Telagam¹,

Lakshmi²,

Kandasamy³

2019

IJEECS

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<p>All the devices are interconnected each other in digital form, for different applications the input data is encoded for error correcting and detecting purpose. The paper describes the transmission of QAM signals with two level encoded stages, i.e. convolutional and hamming coded GFDM system with 256-point IFFT at transmitter and FFT at the receiver using LABVIEW software. GFDM is a non-orthogonal, digital multicarrier transmission scheme which digitally implements the classical filter bank approach. GFDM transmits a block of frame composed by M time slots with K subcarriers. The higher order QAM is used because of transmitting more data but is less reliable when compared to lower order QAM. Based on GFDM specifications for the IEEE 802.11, latest 5G physical layer standards, the coding is provided by ½ rate encoder at the input side, and Maximum Likelihood decoder at the receiver side is used. The standard convolution code (7, [171, 133]), is used as encoder for the GFDM system. The GFDM complex values are displayed in the front panel, along with FFT and power spectrum is plotted for GFDM signal. The array of input bits and output bits are shown with green colour LED’s. The van de Beek algorithm is used at the receiver for maximum likelihood detection acts as convolutional decoder of GFDM signal. Next the signal is subjected to remove cyclic prefix and zero padding and applied to channel estimation algorithm. The un-equalized data and equalized data graph is shown in the front panel, before and after channel estimation VI. With BER VI available in the LABVIEW the data is normalized and its response is plotted with respect to SNR. BER values for different levels of encoders have shown in table for SNR values. This paper concludes the 32.91% improvement in BER for two levels of concatenated codes.Thus the GFDM signal outperforms the OFDM signal interms of BER for series levels of coding using labVIEW software.</p>

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GFDM BER Under Synchronization Errors

Cited by 35 publications

References 8 publications

Review of Channel Estimation for Candidate Waveforms of Next Generation Networks

Review of Channel Estimation for Candidate Waveforms of Next Generation Networks

Emerging 5G Multicarrier Chaotic Sequence Spread Spectrum Technology for Underwater Acoustic Communication

BER analysis of concatenated levels of encoding in GFDM system using labview

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