Artificial intelligence techniques for rate maximization in interference channels

Ali, Zain; Farooq, Wasay; Khan, Wali Ullah; Qureshi, Mahmood; Sidhu, Guftaar Ahmad Sardar

doi:10.1016/j.phycom.2021.101294

Cited by 9 publications

(8 citation statements)

References 35 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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“…For an objective function concave in Λ, this linear problem can be solved easily by using the simplex method. However, as the considered problem is convex with respect to Λ, this shows that at Λ * , the rate of a user will be tightly bound 4 . Thus, for the given Λ * , optimizing T would have no impact.…”

Section: Proposed Solutionmentioning

confidence: 99%

“…The upcoming sixth-generation (6G) systems are expected to connect billions of communication devices all over the world [1], [2]. Most promising 6G technologies are artificial intelligence/machine learning [3], [4], reconfigurable intelligent surfaces [5], backscatter communication [6], nonorthogonal multiple access (NOMA) [7], blockchain [8], [9], Tera-hertz communication [10], and simultaneous wireless information and power transfer [11]. These technologies will integrate to the current communication networks such as unmanned aerial vehicles [12], intelligent transportation systems [13], cognitive radio networks [14], Internet of Things [15], device to device communication [16], and physical layer security [17].…”

Section: Introductionmentioning

confidence: 99%

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Ahmed

Ali

Khan

et al. 2022

Journal of King Saud University - Computer and Information Scie

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“…NOMA first uses superposition coding at the transmitter side to encode multiple signals over the same spectrum using power multiplexing and then exploits successive interference cancellation (SIC) at the receiver side to decode these signals [15]. In the last several years, a lot of works have been done on traditional NOMA networks [16]- [19]. Recently, researchers have shown interest in the integration of AmBC and NOMA with vehicular networks for providing energy-efficient and reliable communications.…”

mentioning

confidence: 99%

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

Khan

Javed

Nguyen

et al. 2022

IEEE Trans. Intell. Transport. Syst.

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The integration of Ambient Backscatter Communication (AmBC) with Non-Orthogonal Multiple Access (NOMA) is expected to support connectivity of low-powered Internetof-Vehicle (IoV) in the upcoming Sixth-Generation (6G) transportation system. This paper proposes an energy-efficient resource allocation framework for the AmBC-enabled NOMA IoV network under imperfect Successive Interference Cancellation (SIC) decoding. In particular, multiple Road-Side Units (RSUs) transmit superimposed signals to their associated IoVs utilizing downlink NOMA transmission. Meanwhile, the Backscatter Tags (BackTags) also transmit data symbols towards nearby IoVs by reflecting the superimposed signals of RSUs. Thus, the objective is to maximize the total energy efficiency of the NOMA IoV network subject to the minimum data rate of all IoVs. A joint problem that simultaneously optimizes the total power budget of each RSU, power allocation coefficient of IoVs and reflection power of BackTags under imperfect SIC decoding is formulated. A Dinkelbach approach is first adopted to transform the optimization problem and then the transformed problem is decoupled into two subproblems for optimal transmit power at RSUs and efficient reflection power at BackTags, respectively. To solve the problems efficiently, dual theory and Karush-Kuhn-Tucker conditions are exploited, where the Lagrangian dual variables are iteratively calculated using the subgradient method. To check the performance of the proposed framework, a benchmark optimization without backscattering is also provided. Numerical results demonstrate the superiority of the proposed AmBC-enabled NOMA IoV framework over the benchmark conventional IoV framework.

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Artificial intelligence techniques for rate maximization in interference channels

Cited by 9 publications

References 35 publications

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

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

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Energy-Efficient Resource Allocation for 6G Backscatter-Enabled NOMA IoV Networks

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