Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM

Agboje, Oboyerulu E.; Idowu-Bismark, Olabode; Ibhaze, Augustus E.

doi:10.15866/irecap.v7i2.10803

Cited by 14 publications

(8 citation statements)

References 10 publications

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“…In DPDS, we make use of a Haar Wavelet transform [21]. The Haar transformation is a well-known, efficient, orthogonal transformation and it is widely used for compression of data [22] [23].…”

Section: A Compressionmentioning

confidence: 99%

Preserving Privacy in the Internet of Connected Vehicles

Ghane

Jolfaei

Kulik

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Today's vehicles are advancing from stand-alone transportation means to vehicle-to-vehicle, and vehicle-toinfrastructure communications enabled devices which are able to exchange data through the transportation communication infrastructure. As the IoT and data remain intrinsically linked together, the fast-changing mobility landscape of intent-based networking for the Internet of connected vehicles comes with a great risk of data security and privacy violations. This paper considers the privacy issues in the distributed edge computing, in which the data is communicated between a number of vehicles in the IoT layer and potentially untrusted edge controllers at the edge of the network. The sensory data communicated by the vehicles contain sensitive information, such as location and speed, which could violate the users' privacy if they are leaked with no perturbation. Recent studies suggest mechanisms for randomizing the stream of data to ensure individuals' privacy. Although the past works on differential privacy provide a strong privacy guarantee, they are limited to applications where communication parties are trusted and/or there is no correlation between the users or the featured of sensory data. In this paper, we address this gap by proposing a differentially private data streaming system that adds a correlated noise in the vehicle's side (IoT layer) rather than the transportation infrastructure. Also, our system is able to ensure a strong privacy level over time. The proposed mechanism is data-adaptive and scales the noise with respect to the data correlation. Our extensive experiments demonstrate that the utility of the output generated by our method outperforms the recent approaches.Index Terms-Differential privacy, edge computing, intelligent transportation system, intent-based networking, Internet of connected vehicles.

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Section: A Compressionmentioning

confidence: 99%

Preserving Privacy in the Internet of Connected Vehicles

Ghane

Jolfaei

Kulik

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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“…4 shows the evolution of the various wireless technologies. The WiMAX, LTE/LTE-A 4G wireless communication standards were planned to use internet protocol (IP) for all its services coupled with advanced modulation schemes such as the orthogonal frequencydivision multiplexing (OFDM) for higher data rate, multiple-input multiple-output (MIMO) for link reliability, increased multiplexing and transmit diversity gain as well as spectral efficiency [16]- [18]. In addition, link adaptation technologies were introduced in 4G which provides up to 1 Gbps of data rate for users with low mobility, and data rate of about 100 Mbps for users with high mobility [1], [15] .…”

Section: Evolution Of Wireless Technologiesmentioning

confidence: 99%

5G Wireless Communication Network Architecture and Its Key Enabling Technologies

Idowu-Bismark

Okokpujie

Husbands

et al. 2019

IREASE

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The wireless mobile communication systems have developed from the second generation (2G) through to the current fourth generation (4G) wireless system, transforming from simply telephony system to a network transporting rich multimedia contents including video conferencing, 3-D gaming and in-flight broadband connectivity (IFBC) where airline crew use augmented reality headsets to address passengers personally. However, there are still many challenges that are beyond the capabilities of the 4G as the demand for higher data rate, lower latency, and mobility requirement by new wireless applications sores leading to mixed contentcentric communication service. The fifth generation (5G) wireless system has thus been suggested, and research is ongoing for its deployment beyond 2020. In this article, we investigate the various challenges of 4G and propose an indoor, outdoor segregated cellular architecture with cloudbased Radio Access Network (C-RAN) for 5G, we review some of its key emerging wireless technologies needed in meeting the new demands of users including massive multiple input multiple output (mMIMO) system, Device-to-Device (D2D), Visible Light Communication (VLC), Ultra-dense network, Spatial Modulation and Millimeter wave technology. It is also shown how the benefits of the emerging technologies can be optimized using the Software Defined Networks/Network Functions Virtualization (SDN/NFV) as a tool in C-RAN. We conclude that the new 5G wireless architecture will derive its strength from leveraging on the benefits of the emerging hardware technologies been managed by reconfigurable SDN/NFV via the C-RAN. This work will be of immense help to those who will engage in further research expedition and network operators in the search for a smooth evolution of the current state of the art networks toward 5G networks.

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“…This way the number of required to achieve the same spectral efficiency in SM is reduced by more than half in GSM. Unlike SM, GSM offers spatial diversity gain as well as increased channel reliability by providing transmitted signal replicas at the receiver [32,34].…”

Section: Sm and Generalized Sm Techniquesmentioning

confidence: 99%

5G Small Cell Backhaul: A Solution Based on GSM-Aided Hybrid Beamforming

Idowu-Bismark¹,

Oyeleke²,

Atayero³

et al. 2019

IJCNIS

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In the proposed 5G architecture where cell densification is expected to be used for network capacity enhancement, the deployment of millimetre wave (mmWave) massive multiple-input multiple-output (MIMO) in urban microcells located outdoor is expected to be used for high channel capacity small cell wireless traffic backhauling as the use of copper and optic-fibre cable becomes infeasible owing to the high cost and issues with right of way. The high cost of radio frequency (RF) chain and its prohibitive power consumption are big drawbacks for mmWave massive MIMO transceiver implementation and the complexity of using optimal detection algorithm as a result of inter-channel interference (ICI) as the base station antenna approaches large numbers. Spatial modulation (SM) and Generalized Spatial Modulation (GSM) are new novel techniques proposed as a low-complexity, low cost and low-powerconsumption MIMO candidate with the ability to further reduce the RF chain for mmWave massive MIMO hybrid beamforming systems. In this work, we present the principles of generalized spatial modulation aided hybrid beamforming (GSMA-HBF) and its use for cost-effective, high energy efficient mmWave massive MIMO transceiver for small cell wireless backhaul in a 5G ultradense network.

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Comparative Analysis of Fast Fourier Transform and Discrete Wavelet Transform Based MIMO-OFDM

Abstract: -The orthogonal frequency division multiplexing (OFDM) is used in mobile wirelesscommunication systems including IEEE 802.16 (WiMAX)

Cited by 14 publications

References 10 publications

Preserving Privacy in the Internet of Connected Vehicles

Preserving Privacy in the Internet of Connected Vehicles

5G Wireless Communication Network Architecture and Its Key Enabling Technologies

5G Small Cell Backhaul: A Solution Based on GSM-Aided Hybrid Beamforming

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