Spectrum Efficient MIMO-FBMC System Using Filter Output Truncation

Zafar, Adnan; Zhang, Lei; Xiao, Pei; Imran, Muhammad Ali

doi:10.1109/tvt.2017.2771531

Cited by 16 publications

(9 citation statements)

References 36 publications

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“…In this section, numerical simulations are given to validate the proposed schemes. In our simulations, we consider an FBMC/OQAM system with 2048 subcarriers, in which the IOTA function is taken as the pulse-shaping filter [15]. Note that only a partial frequency band, i.e., 180 subcarriers is assigned for one user to achieve channel measurement and noise estimation.…”

Section: Simulation Resultsmentioning

confidence: 99%

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Channel Measurement and Noise Estimation in FBMC/OQAM-Based IoT Networks

Sun

Kong

2022

Wireless Communications and Mobile Computing

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Channel measurement plays an important role in the emerging 5G-enabled Internet of Things (IoT) networks, which reflects the channel quality and link reliability. In this paper, we address the channel measurement for link reliability evaluation in filter-bank multicarrier with offset quadrature amplitude modulation- (FBMC/OQAM-) based IoT network, which is considered as a promising technique for future wireless communications. However, resulting from the imaginary interference and the noise correlation among subcarriers in FBMC/OQAM, the existing frequency correlation method cannot be directly applied in the FBMC/OQAM-based IoT network. In this study, the concept of the block repetition is applied in FBMC/OQAM. It is demonstrated that the noises among subcarriers are independent by the block repetition and linear combination, instead of correlated. On this basis, the classical frequency correlation method can be applied to achieve the channel measurement. Then, we also propose an advanced frequency correlation method to improve the accuracy of the channel measurement, by assuming channel frequency responses to be quasi-invariant for several successive subcarriers. Simulations are conducted to validate the proposed schemes.

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Section: Simulation Resultsmentioning

confidence: 99%

“…only depends on the filter g½k and the timefrequency position ðm, nÞ. Note that the pulse-shaping filter g½k in FBMC/OQAM is real-valued and symmetric [15,16]. Due to the fact that g½k is real-valued and symmetric, it can be easily demonstrated that the following equations hold…”

Section: Analysis Of Imaginary Interferencementioning

confidence: 99%

Channel Measurement and Noise Estimation in FBMC/OQAM-Based IoT Networks

Sun

Kong

2022

Wireless Communications and Mobile Computing

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“…It can be seen from (12), that the transmitted symbol vector s m is accompanied with interference terms caused by the multipath channel and noise. In this section we estimate the interference and noise power in the FBMC/QAM-IM system.…”

Section: Interference and Noise Power Estimationmentioning

confidence: 99%

Interference Analysis of QAM based Filter Bank Multicarrier System with Index Modulation

Zafar,

Cao,

Abdullahi

et al. 2018

Preprint

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Index modulation (IM) has recently emerged as a promising concept for spectrum and energy-efficient next generation wireless communications systems since it strikes a good balance among error performance, complexity, and spectral efficiency. IM technique when applied to a multicarrier waveforms yields the ability to convey the information not only by Mary signal constellations as in conventional multicarrier systems, but also by the indexes of the subcarriers, which are activated according to the incoming bit stream. Although IM is well studied for OFDM based systems, FBMC with index modulation has not been thoroughly investigated. In this paper, we shed light on the potential and implementation of IM technique for QAM based FBMC system. We start with a mathematical model of the IM based QAM-FBMC system (FBMC/QAM-IM) along with the derivation of interference terms at the receiver due to channel distortions and noise. The interference terms including the ones introduced by the multipath channel are analyzed in terms of MSE and output SINR. It is shown with analytical and simulation results that the interference power in FBMC/QAM-IM is smaller comparing to that of the conventional FBMC/QAM system as some of the subcarriers are inactive. The performance of FBMC/QAM with IM is investigated by comparing the SIR and output SINR with that of the conventional FBMC/QAM system along with the BER performance which shows that the FBMC/QAM-IM is a promising transmission technique for future wireless networks.

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“…FBMC scheme has some obvious advantages for VRs. Compared with OFDM, FBMC offers higher throughput because of no Cyclic Prefix (CP); however, FBMC also introduces long filter tails which may reduce the spectral efficiency significantly when the block size is small 26 . Due to this reason, FBMC is better suited for higher bandwidth services that utilize larger block sizes.…”

Section: Introductionmentioning

confidence: 99%

Air‐interface virtualization using filter bank multicarrier and orthogonal frequency division multiplexing configurations

Saad

Bhatti

Zafar

et al. 2020

Trans Emerging Tel Tech

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Mobile networks have to cater for diverse services that have distinct requirements in terms of bandwidth, latency, and so on. Network virtualization is a key technology that efficiently utilizes the network resources to meet these service requirements. In this work, we investigate radio virtualization for creating fine‐grained network slices using orthogonal frequency division multiplexing (OFDM) and filter bank multicarrier (FBMC) combinations; the two are individually referred to as virtual radios (VRs). Using universal software radio peripherals (USRPs), we experimentally analyze multiple configurations of VRs including OFDM‐OFDM, OFDM‐FBMC, and FBMC‐FBMC. An extensive performance comparison is done on the basis of error rate, spectral efficiency, interference power, and computational complexity of the VR configurations that are confined within an operational bandwidth. An increase in transmit power of the VRs is theoretically expected to decrease the error rate, but there is also an increase in adjacent channel interference. Therefore, after a certain decrease in error rate with increase in transmit power, an inflection point is reached after which the error rate starts to increase. Of the three combinations, FBMC‐FBMC gives the lowest error rate (at the highest transmit power), that is, 10% and 18% lower than OFDM‐FBMC and OFDM‐OFDM, respectively. However, FBMC‐FBMC also has the highest complexity. We conclude that this air‐interface virtualization framework allows the network to use the waveform configuration that is best suited to a particular set of services, while considering the pros and cons of the individual waveforms.

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Spectrum Efficient MIMO-FBMC System Using Filter Output Truncation

Cited by 16 publications

References 36 publications

Channel Measurement and Noise Estimation in FBMC/OQAM-Based IoT Networks

Channel Measurement and Noise Estimation in FBMC/OQAM-Based IoT Networks

Interference Analysis of QAM based Filter Bank Multicarrier System with Index Modulation

Air‐interface virtualization using filter bank multicarrier and orthogonal frequency division multiplexing configurations

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