<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>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.</p>
</abstract>

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.

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

Journal of Electrical Engineering

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Sixth generation (6G)-enabled internet of things (IoT) requires significant spectrum resources to deliver spectrum availability for massive IoT’s nodes. But...

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

Data publikacji: 08 maj 2023

Zakres stron: 95 - 101

Otrzymano: 26 lut 2023

DOI: https://doi.org/10.2478/jee-2023-0012

Słowa kluczowe
NOMA, IoT, 6G, genetic glgorithm, power allocation

© 2023 Shelesh Krishna Saraswat et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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

Data publikacji: 08 maj 2023

Zakres stron: 95 - 101

Otrzymano: 26 lut 2023

DOI: https://doi.org/10.2478/jee-2023-0012

Słowa kluczoweNOMA, IoT, 6G, genetic glgorithm, power allocation

© 2023 Shelesh Krishna Saraswat et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Słowa kluczowe
NOMA, IoT, 6G, genetic glgorithm, power allocation