Efficient power allocation for NOMA-enabled IoT networks in 6G era

Khan, Wali Ullah; Jameel, Furqan; Jamshed, Muhammad Ali; Pervaiz, Haris; Khan, Shafiullah; Liu, Ju

doi:10.1016/j.phycom.2020.101043

Cited by 72 publications

(26 citation statements)

References 43 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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“…where ζL(p), ζL(λ), ζL(υ), and ζL(π) are the Gradient obtained from the Lagrangian function and can be expressed as [41] ζL(p n,m…”

Section: Proposed Optimal Solutionmentioning

confidence: 99%

NOMA-enabled Optimization Framework for Next-generation Small-cell IoV Networks under Imperfect SIC Decoding

Khan¹,

Li²,

Ihsan³

et al. 2021

Preprint

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To meet the demands of massive connections, diverse quality of services (QoS), ultra-reliable and low latency in the future sixth-generation (6G) Internet-of-vehicle (IoV) communications, we propose non-orthogonal multiple access (NOMA)-enabled small-cell IoV network (SVNet). We aim to investigate the trade-off between system capacity and energy efficiency through a joint power optimization framework. In particular, we formulate a nonlinear multi-objective optimization problem under imperfect successive interference cancellation (SIC) detecting. Thus, the objective is to simultaneously maximize the sum-capacity and minimize the total transmit power of NOMA-enabled SVNet subject to individual IoV QoS, maximum transmit power and efficient signal detecting. To solve the nonlinear problem, we first exploit a weighted-sum method to handle the multi-objective optimization and then adopt a new iterative Sequential Quadratic Programming (SQP)-based approach to obtain the optimal solution. The proposed optimization framework is compared with Karush-Kuhn-Tucker (KKT)-based NOMA framework, average power NOMA framework, and conventional OMA framework. Monte Carlo simulation results unveil the validness of our derivations.

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“…The wireless technologies are developing with a rapid pace and the main demands is to provide secure connections between billions of communication nodes [1]. The use of wireless devices has recently increased significantly [2]. Moreover, several advance technologies such as backscatter communication, non-orthogonal multiple access, intelligent reflecting surfaces, etc.…”

Section: Introductionmentioning

confidence: 99%

Resource Optimization Framework for Physical Layer Security of Dual-Hop Multi-Carrier Decode and Forward Relay Networks

Nawaz¹,

Khan

Ali

et al. 2021

IEEE Open J. Antennas Propag.

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Physical layer security (PLS) is an emerging area for information security against eavesdroppers (Eve). Information security of any system can also be improved by using friendly jammers that produce interference signals to Eve. Traditional security techniques are limited by the processing power of the wireless nodes, whereas PLS can achieve communication secrecy without requiring computationally expensive cryptographic operations. The relay networks have emerged as a promising technology to enhance the performance of the wireless systems. This paper proposes a joint resource optimization framework for the PLS of dual-hop decode and forward (DF) relay network with and without cooperative jamming. In particular, the proposed framework consists of a base station (BS), multiple users, DF relays, multiple subcarriers, and an Eve. Our objective is to maximize the sum secrecy rate (SR) through optimal power loading over different subcarriers at BS and relay nodes, and efficient subcarrier assignment. We formulate a mixed binary integer programing problem for secrecy optimization and adopt Lagrangian dual method to achieve the efficient solutions. We also provide three benchmark frameworks, i.e., joint power optimization with random subcarrier assignment, equal power allocation with efficient subcarrier assignment and equal power with random subcarrier assignment to guage the performance of our joint resource optimization framework. Simulation results unveil that the proposed joint resource optimization framework under cooperative jamming and without jamming performs significantly better than the benchmark frameworks.

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Efficient power allocation for NOMA-enabled IoT networks in 6G era

Cited by 72 publications

References 43 publications

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

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

NOMA-enabled Optimization Framework for Next-generation Small-cell IoV Networks under Imperfect SIC Decoding

Resource Optimization Framework for Physical Layer Security of Dual-Hop Multi-Carrier Decode and Forward Relay Networks

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