Allocation of power in NOMA based 6G-enabled internet of things using multi-objective based genetic algorithm

Sixth generation (6G)-enabled internet of things (IoT) requires significant spectrum resources to deliver spectrum availability for massive IoT’s nodes. But the existing orthogonal multiple access limits the full utilization of limited spectrum resources. The non-orthogonal multiple access (NOMA) ex...

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Bibliographic Details
Published inJournal of Electrical Engineering Vol. 74; no. 2; pp. 95 - 101
Main Authors Saraswat, Shelesh Krishna, Deolia, Vinay Kumar, Shukla, Aasheesh
Format Journal Article
LanguageEnglish
Published Bratislava Sciendo 01.04.2023
De Gruyter Poland
Subjects
6G mobile communication
Communication
Connectivity
Decomposition
Energy efficiency
Genetic algorithms
genetic glgorithm
Internet of Things
IoT
Lagrange multiplier
Monte Carlo simulation
Nodes
NOMA
Nonorthogonal multiple access
Optimization
power allocation
Quality of service
Unmanned aerial vehicles
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Summary:Sixth generation (6G)-enabled internet of things (IoT) requires significant spectrum resources to deliver spectrum availability for massive IoT’s nodes. But the existing orthogonal multiple access limits the full utilization of limited spectrum resources. The non-orthogonal multiple access (NOMA) exploits the potential of power domain to improve the connectivity for 6G-enabled IoT. An efficient quality of service (QoS) aware power allocation approach is required to enhance the spectral efficiency and energy of NOMA based 6G-enabled IoT nodes. The multi-objective genetic algorithm (MOGA) is used to resolve the non-convex problem by considering the successive interference cancellation (SIC), QoS, and transmission power. Extensive experiments are drawn by using the Monte Carlo simulation to evaluate the significant improvement of the proposed model. Experimental results indicate that the proposed power allocation model provides good performance of the NOMA based IoT network.
ISSN:1339-309X
1335-3632
1339-309X
DOI:10.2478/jee-2023-0012