Lattice-Reduction-Aided Equalization for MIMO-FBMC Systems

Zakaria, Rostom; Silva, Danilo; Ruyet, Didier Le

doi:10.1109/lwc.2018.2859942

Cited by 12 publications

(4 citation statements)

References 10 publications

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“…It uses a Using a frequency-domain multitap equalizer to make the system more resilient to high-frequency selectivity conditions while reducing computational complexity. In [9] suggested a lattice reduction (LR) strategy for improving the functionality of filter-bank multi-carrier (FBMC) modulated spatially multiplexed (SM) MIMO systems proving that, compared to the state-of-the-art, a Lattice-Reduction-Aided (LRA) equalizer provides a significant performance boost for FBMC-MIMO systems while maintaining a manageable level of complexity. In [2] suggested BER for FBMC-OQAM is better than that of FBMC QAM; interference is still present in this system.…”

Section: Literature Surveymentioning

confidence: 99%

Equalization methods for Filter Bank Multicarrier OQAM

Kadhem,

Thamer M Jamel,

Hasan F Khazaal

2023

ejuow

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Filter bank multi-carrier offset-quadrature amplitude modulation (FBMC OQAM) is a hot topic in 5G multi-carrier research. In order to achieve high data rates and reliable wireless communication, receiver channel equalization is required. This is because of the equalizer's excellent spectral efficiency, exceptionally low side-lobe leakage, zero periodic cyclic prefixes (CP), and multiphase filter design. However, a number of degradations, including fading, Doppler shifts, and intermittent symbol interference (ISI), are added to the transmitted data symbols as they traverse the wireless channel, reducing the network's overall quality. To mitigate the negative effects of channel defects, many channel equalization algorithms have been developed for use in modern telecommunications networks. Six different equalizer approaches have been implemented. Using the Pedestrian A and Vehicular B channel in our simulations, we examine how well they function. The system was simulated using MATLAB's Communications Toolbox (an M file). Bit-error-rate (BER) and signal-to-noise ratio (SNR) were used to evaluate the outcomes. The Bit error rate was calculated by checking for differences between the sent and received bit sequences. The best value of the bit error ratio using frequency domain equalization and the time domain equalization 5.4 and 4.7 , respectively.

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Section: Literature Surveymentioning

confidence: 99%

Equalization methods for Filter Bank Multicarrier OQAM

Kadhem,

Thamer M Jamel,

Hasan F Khazaal

2023

ejuow

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“…Currently, filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) has been considered as a potential alternative [1][2][3][4] to the conventional orthogonal frequency division multiplexing (OFDM). In the past several years, FBMC/OQAM and other filter-based waveforms have been studied to overcome the disadvantages of OFDM.…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation Approach with Low Pilot Overhead in FBMC/OQAM Systems

Sun

Kong

et al. 2021

Wireless Communications and Mobile Computing

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In filter bank multicarrier with offset quadrature amplitude modulation (FBMC/OQAM) systems, a large pilot overhead is required due to the existence of the imaginary interference. In this paper, we present an approach to reduce the pilot overhead of channel estimation. A part of pilot overhead is used for transmitting data, and compensating symbols are required and designed to remove the imaginary interference. It is worthwhile to point out that the power of compensating symbols can be helpful for data recovery; hence, the proposed approach decreases the overhead of pilots significantly without the cost of additional pilot energy. In addition, the proposed scheme is extended into multiple input multiple output systems without the performance loss. Compared with the conventional preamble consisting of 3 columns symbols, the pilot overhead is equivalent to 2 column symbols in the proposed preamble. To verify the proposed preamble, numerical simulations are carried out with respects to bit error ratio.

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“…More recent works also deal with the equalization problem in FBMC systems. For example, Zakaria et al proposed to apply a lattice‐reduction–aided equalization approach to receive filter bank multicarrier–offset quadrature amplitude modulation (FBMC‐OQAM) signals to exploit the diversity space. However, this strategy was not very effective in more aggressive scenarios (frequency‐selective channels), resulting in performance degradation.…”

Section: Introductionmentioning

confidence: 99%

Efficient multitap equalization for FBMC‐OQAM systems

Guerra

Abrão

2019

Trans Emerging Tel Tech

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This work provides a simple yet efficient multitap equalization structure for filter bank multicarrier systems, which is a candidate waveform for the next generation (5G) of mobile communication systems. More specifically, we analyze the system performance under medium-to high-frequency selective channels. In this scenario, the single-tap equalizer is not enough to compensate the channel effects, and then, a multitap equalizer need to be deployed. In the literature, the available equalization structures that are more efficient in aggressive scenarios are generally quite complex, whereas the less complex alternatives do not perform satisfactorily in such conditions. In this context, we propose a new multitap equalization approach in the frequency domain, aiming at reducing the computational complexity while improving the system robustness against high-frequency selectivity conditions. For a wide range of number of taps and antennas, the proposed minimum mean square error-based frequency domain equalizer presents a much reduced computational complexity, ie, less than 1% of the conventional minimum mean square error-based time domain complexity.The operation, advantages, performance, and the main differences between multitap equalization schemes against the simple one-tap equalizer for filter bank multicarrier systems are comprehensively discussed.One of the main topologies used in the fourth-generation systems has been the orthogonal frequency division multiplexing (OFDM), which has various commercial applications such as wireless networks (Wi-Fi 802.11), multiple-input-multiple-output (MIMO) systems, cellular systems (LTE), and digital television digital video broadcasting-terrestrial. 1 Moreover, OFDM system has many advantages, eg, ability to operate in frequency selective channels, robustness against multipath fading effect, easy implementation with fast Fourier transform algorithms, and trivial equalization due the favorable channel condition on each subcarrier. Because of its features, OFDM is still a candidate for the 5G. However, the OFDM system has some well-known issues that may hinder its use in 5G, such as sensibility with the frequency synchronization, 2 high levels of peak-to-average power ratio (PAPR), which require high linearity amplifiers to avoid signal saturation, and consequently, the signal distortion. 3 Therefore, new advancing research works are necessary, aiming at proposing alternatives to attend the 5G requirements. 4 An alternative method for multiplexing data via multiple carriers, similar to the OFDM, is the filter bank multicarrier (FBMC). In the FBMC scheme, multiple filters are used to transmit data in parallel, using one filter per carrier. In practice, Abbreviations: FBMC, filter bank multicarrier; OQAM, offset quadrature amplitude modulation; MTE, multitap equalization; OFDM, orthogonal frequency division multiplexing. Equally contributing authors.Trans Emerging Tel Tech. 2019;30:e3775.wileyonlinelibrary.com/journal/ett

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Lattice-Reduction-Aided Equalization for MIMO-FBMC Systems

Cited by 12 publications

References 10 publications

Equalization methods for Filter Bank Multicarrier OQAM

Equalization methods for Filter Bank Multicarrier OQAM

Channel Estimation Approach with Low Pilot Overhead in FBMC/OQAM Systems

Efficient multitap equalization for FBMC‐OQAM systems

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