Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access

Khan, Wali Ullah; Jameel, Furqan; Kumar, Neeraj; Jäntti, Riku; Guizani, Mohsen

doi:10.1109/tvt.2021.3056220

Cited by 74 publications

(41 citation statements)

References 52 publications

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“…erefore, this technology has become the focus of any artificial intelligence company, and it is also very necessary for the governments of many countries/regions in the world [18]. In addition, researchers are also focusing on the modernization of other scientific fields such as artificial intelligence and information technology [19][20][21][22][23][24][25][26][27][28][29][30][31].…”

Section: Introductionmentioning

confidence: 99%

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

Ahmad¹,

Ullah

Khan

et al. 2021

Journal of Healthcare Engineering

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Object detection plays a vital role in the fields of computer vision, machine learning, and artificial intelligence applications (such as FUSE-AI (E-healthcare MRI scan), face detection, people counting, and vehicle detection) to identify good and defective food products. In the field of artificial intelligence, target detection has been at its peak, but when it comes to detecting multiple targets in a single image or video file, there are indeed challenges. This article focuses on the improved K-nearest neighbor (MK-NN) algorithm for electronic medical care to realize intelligent medical services and applications. We introduced modifications to improve the efficiency of MK-NN, and a comparative analysis was performed to determine the best fuse target detection algorithm based on robustness, accuracy, and computational time. The comparative analysis is performed using four algorithms, namely, MK-NN, traditional K-NN, convolutional neural network, and backpropagation. Experimental results show that the improved K-NN algorithm is the best model in terms of robustness, accuracy, and computational time.

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Section: Introductionmentioning

confidence: 99%

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

Ahmad¹,

Ullah

Khan

et al. 2021

Journal of Healthcare Engineering

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“…On one hand, NOMA has been considered for VLC networks in prior literature primarily focusing on indoor VLC channels [29] and [30]. On the other hand, RF based NOMA V2X networks have been studied in [31] and [32], aiming to address its feasibility and open challenges. However, none of these aforementioned studies presents an integration of NOMA into V-VLC network whose performance is severely affected by interference.…”

Section: Introductionmentioning

confidence: 99%

Downlink Performance of Optical Power Domain NOMA for Beyond 5G Enabled V2X Networks

Singh

Srivastava

Liu

2021

IEEE Open J. Veh. Technol.

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In this work, we explore the potential benefits and practical challenges associated with implementation of optical power domain non-orthogonal multiple access (OPD-NOMA) scheme for visible light communications (VLC) based vehicleto-everything (V2X) networks with a major aim of providing vehicles with reliable, ubiquitous, and massive connectivity. In the proposed framework, an installed light source (e.g., traffic lamp post or street light lamp post) broadcasts a safety related message to desired nodes through visible light. However, such VLC transmission is subject to interference originating from the vehicles in the adjacent lane. Using the stochastic geometry approach, we model the locations of vehicles on the road via Poisson point process. We investigate the applicability of downlink OPD NOMA enabled V2X network for typical infrastructure-tovehicle (I2V) communication in presence of interference caused from concurrent vehicle-to-vehicle (V2V) transmissions with an aid of stochastic geometry. Through the obtained results, it has been shown that the downlink OPD NOMA based V2X network offers improved performance in terms of outage performance and average achievable rate as compared to the conventional RF based V2X communication.

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“…In [23], the authors optimized power loading to attain fairness in CR. Similarly, several researches have also investigated optimization framework in backscatter-enabled NOMA networks [24], [25], [26].…”

Section: Introductionmentioning

confidence: 99%

Fair Power Allocation in Cooperative Cognitive Systems under NOMA Transmission for Future IoT Networks

Ali¹,

Khan²,

Sidhu³

et al. 2021

Preprint

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This work aims to achieve fairness among secondary users (SUs) in IoT cooperative NOMA-based CR transmission. We design a power allocation algorithm for secondary IoT network that ensures protection of primary system. Further, an independent battery constraint at each node is considered, and power gap among transmissions of two NOMA users is applied for successive interference cancellation. Our extensive simulation results show that the proposed framework provides excellent performance and for sufficient available transmission power perfect fairness is achieved in the rate of both the users.

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Backscatter-Enabled Efficient V2X Communication With Non-Orthogonal Multiple Access

Cited by 74 publications

References 52 publications

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

Efficient Algorithms for E-Healthcare to Solve Multiobject Fuse Detection Problem

Downlink Performance of Optical Power Domain NOMA for Beyond 5G Enabled V2X Networks

Fair Power Allocation in Cooperative Cognitive Systems under NOMA Transmission for Future IoT Networks

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