Performance Analysis of Audio Data Transmission on FBMC - Offset QAM System

Isnawati, Anggun Fitrian; Citra, Viona Octaviani; Hendry, Jans

doi:10.1109/iciaict.2019.8784810

Cited by 10 publications

(10 citation statements)

References 1 publication

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“…Staggering QAM symbols by half the symbol period (T /2) ensures that the real and imaginary parts of the data are not transmitted at the same time as in OFDM, helping avoid a huge phase shift, and thus avoiding the zero-crossing to occur whenever both the bits change simultaneously. In this way huge spectral side lobes can be avoided and the condition of orthogonality is further strengthened [34,35,43]. The BER curves for this case are shown in the Fig.…”

Section: Fbmc/qam With Encodingmentioning

confidence: 95%

“…After the addition of redundancy in the source data with the help of convolutional encoding, the data is modulated with QAM modulation. Subsequently the serial to parallel conversion and OQAM modulation by segregating complex modulated symbols into real and imaginary components in order to gain overall exploitation of channel bandwidth [34,35] is done. The complex input symbols are given as,…”

Section: Fig 2: Fbmc/oqam -System Modelmentioning

confidence: 99%

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Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Tiwana

Zeeshan

Ashraf

et al. 2021

Preprint

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The fast evolution in wireless communication standards and enhancement in cellular applications has created an exponential rise in the data rate requirement over the past few decades. The next generation wireless standards, therefore, need not only to provide ultra high data rates with minimum latency, but also to support diverse quality-of-service (QoS) requirements. Filterbank multicarrier (FBMC) scheme provides quite a few advantages over the conventional orthogonal frequency division multiplexing (OFDM) for future wire- less networks. In order to achieve adaptive throughput and diverse service quality requirements under varying channel conditions, a link adaptation algorithm for FBMC scheme is proposed in this paper. The aim is to provide the dynamic selection of optimum parameters resulting in diverse modes of operation to ensure the desired and/or best available communication service quality. The proposed link adaptation algorithm incorporates the parameters of required data rate, available channel condition and QoS demand, and dynamically allocates the appropriate FBMC transmission parameters. The proposed scheme has been evaluated for AWGN as well as multipath fading SUI channel models. Simulation results indicate that the proposed algorithm successfully achieves the desired service quality subject to the availability of suitable channel conditions and is also superior to the existing algorithms in terms of block error rate and effective throughput.

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Section: Fbmc/qam With Encodingmentioning

confidence: 95%

Section: Fig 2: Fbmc/oqam -System Modelmentioning

confidence: 99%

Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Tiwana

Zeeshan

Ashraf

et al. 2021

Preprint

View full text Add to dashboard Cite

show abstract

“…In FBMC physical layer, after the addition of redundancy in the source data with the help of convolutional encoding, the data is modulated with QAM modulation. Subsequently, the serial to parallel conversion and OQAM modulation by segregating complex modulated symbols into real and imaginary components in order to gain overall exploitation of channel bandwidth [30], [31] is performed. Finally, the modulated data symbols are passed through IFFT-based SFB and sent to DFE.…”

Section: B Fbmc: Wideband Modulation Schemementioning

confidence: 99%

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

et al. 2021

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Tactical software defined radio (SDR) networks demand stringent requirements of latency, throughput, and reliability. In the past, significant efforts have been made to achieve maximal efficiency with modifications and improvements either in an individual layer or through the cross-layer design of its working protocol. In this paper, we propose a novel cross-layer design consisting of adaptive multi-input medium access control (AMI-MAC) layer along with an intelligent channel allocation scheme supported by a multiband multimode physical layer. A cognitive engine further empowers this cross-layer design approach to achieve high throughput, improved quality of service (QoS), and adaptive range capabilities. The proposed physical layer exhibits a mixed use of narrowband and wideband waveforms accommodating different range requirements as per demanded QoS. The uniqueness of the proposed physical layer enables SDR to operate in hybrid topology by receiving multiple narrowband signals of different bandwidths with the same configuration of wideband RF front end. The proposed AMI-MAC design ensures a reduction in both control and data phase latency. MAC layer ensures the maximal utilization of the time and frequency spectrum. Bandwidth and delay optimization is also managed by the proposed trio of the physical layer, MAC, and cognition to reduce latency and achieve desired QoS. Simulation results are presented to show the superiority of the proposed design over conventional tactical radio MAC.

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“…FBMC menambahkan filter pembentukan pulsa yang menghasilkan sub-channel yang teralokasi dalam domain waktu dan domain frekuensi. Selain itu FBMC memiliki lebih banyak sinyal penahan spektral dan menawarkan penggunaan sumber daya bandwidth yang lebih efektif sehingga dapat menghilangkan Cyclic Prefix [6]. Modulasi offset QAM dipilih karena memiliki kestabilan sistem lebih baik dari QAM konvensional, yaitu kuat terhadap efek dispersi serta mampu memperbaiki proses decision dan memiliki bit rate yang tinggi [7].…”

Section: Pendahuluanunclassified

Analisis Penggunaan Teknik K-Means Clustering Sebagai Pengganti Fungsi Demapper Pada Sistem Komunikasi FBMC Oqam

Nabila¹,

Isnawati²,

Afandi³

2021

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Pada pengiriman data, sinyal yang diterima oleh antena penerima pasti tidak sama dengan sinyal yang dikirim oleh antena pengirim. Pada penelitian ini, teknik K-Means Clustering diaplikasikan untuk proses pengembalian data bit sebagai fungsi demodulasi pada konstelasi M-Ary yang sebelumnya telah terganggu oleh noise dan fading di jaringan pita lebar. Modulasi digital yang digunakan dalam penelitian ini yaitu 16 QAM. Simulasi dilakukan pada kanal ideal (AWGN) menggunakan teknik multicarrier Filter Bank Multicarrier Offset QAM (FBMC OQAM) dengan equalizer Zero Forcing (ZF) dan tanpa ZF. Kinerja dari demapper k-means dievaluasi menggunakan Silhouette Coefficient menghasilkan sistem FBMC OQAM dengan penggunaan ZF memiliki kinerja lebih baik daripada sistem FBMC OQAM tanpa penggunaan equalizer. Seperti BER FBMC OQAM ZF pada SNR 0 dB hingga SNR 20 dB mengalami penurunan sebesar 0,3849, sedangkan pada FBMC OQAM memiliki BER yang relatif stabil. Selain mengalami penurunan pada parameter BER, sistem FBMC OQAM ZF mengalami peningkatan pada kapasitas kanal yang dihasilkan.

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Performance Analysis of Audio Data Transmission on FBMC - Offset QAM System

Cited by 10 publications

References 1 publication

Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Dynamic Link Adaptation For Filterband Multicarrier In Networks With Diverse Service Quality And Throughput Requirements

Adaptive Multi-Input Medium Access Control (AMI-MAC) Design Using Physical Layer Cognition for Tactical SDR Networks

Analisis Penggunaan Teknik K-Means Clustering Sebagai Pengganti Fungsi Demapper Pada Sistem Komunikasi FBMC Oqam

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