Performance of Linear and Widely Linear Equalizers for FBMC/OQAM modulation

Fhima, Hayfa; Chang, Bruno S.; Zayani, Rafik; Shaïek, Hmaied; Roviras, Daniel; Bouallègue, Ridha

doi:10.1109/ict.2018.8464905

Cited by 4 publications

(4 citation statements)

References 9 publications

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“…Unlike the OFDM system, where all subcarriers overlap significantly among each other, in FBMC, thanks to the high stopband attenuation of the prototype filter, the effective intercarrier interference in each subchannel comes only from the adjacent subchannels . Then, Equation can be approximated by

x_{m} false[k false] \approx true \sum_{i = m - 1}^{i = m + 1} true \sum_{l = - \infty}^{\infty} q_{m i} a_{i} false[k - l false] + η_{m} false[k false] .

…”

Section: Fbmc In Communication Systemsmentioning

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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x_{m} false[k false] \approx true \sum_{i = m - 1}^{i = m + 1} true \sum_{l = - \infty}^{\infty} q_{m i} a_{i} false[k - l false] + η_{m} false[k false] .

…”

Section: Fbmc In Communication Systemsmentioning

confidence: 99%

Efficient multitap equalization for FBMC‐OQAM systems

Guerra

Abrão

2019

Trans Emerging Tel Tech

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“…In this section, the way to compute the FIR filter coefficients is described. Within the last few years, the equalizer design for FBMC/OQAM has been subject of a number of research articles, in which optimization is mainly based on the zero‐forcing or minimum mean‐square error principle . An important conclusion of most contributions is that not a joint but per‐subcarrier equalization is more appropriate in FBMC/OQAM transmission.…”

Section: Equalizationmentioning

confidence: 99%

“…Within the last few years, the equalizer design for FBMC/OQAM has been subject of a number of research articles, in which optimization is mainly based on the zero-forcing 28,29 or minimum mean-square error principle. 30,31 An important conclusion of most contributions is that not a joint but per-subcarrier equalization is more appropriate in FBMC/OQAM transmission. On the other hand, a one-tap equalizer, widely used in CP-OFDM, turns out to be unsufficient for typical channel coherence bandwidths.…”

Section: Filter Designmentioning

confidence: 99%

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SINR‐based adaptive MIMO FBMC/OQAM transmission with automatic modulation classification

Haring

2018

Trans Emerging Tel Tech

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The performance of filter bank multicarrier offset quadrature‐amplitude modulation systems is known to be limited by intrinsic interference in highly frequency‐selective radio propagation conditions. In this article, a novel adaptive multiple‐input–multiple‐output (MIMO) filter bank multicarrier transmission system in time‐division duplex mode is analyzed in which filter bank‐based interference power is considered in the bit loading (BL) and automatic modulation classification (AMC) algorithm. In order to reduce the amount of intrinsic interference, a filter design for a general multitap MIMO channel equalization is elaborated. For this linear MIMO receiver technique, an analytical expression of the signal‐to‐interference‐and‐noise power ratio after equalization is described. Since BL and AMC rely on the information about the subcarrier link quality, the influence of residual interference on its performance in a MIMO setup is quantified. For a wireless local area network similar propagation scenario, incorporating the information about the interference power in the BL and AMC method results in a significant system performance improvement at high signal‐to‐noise power ratios.

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