In 5G wireless networks, cooperative non-orthogonal multiple access (NOMA) and wireless power transfer (WPT) are efficient ways to improve the spectral efficiency (SE) and energy efficiency (EE). In this paper, a new cooperative NOMA scheme with WPT is proposed, where EE optimization with a constrained maximum transmission power and minimum required SE is considered for the user grouping and transmission power allocation of users. We obtain a sub-optimal solution by decoupling the original problem in two sub-problems: an iterative algorithm is considered for the user grouping, while, in addition, we utilize the Bat Algorithm (BA) for solving the power allocation problem, where BA was proved to be able to achieve a higher accuracy and efficiency with respect to other meta-heuristic algorithms. Furthermore, to validate the performance of the proposed system, analytical expressions for the energy outage probability and outage probability of users are derived, confirming the effectiveness of the simulation results. It is demonstrated that the proposed cooperative NOMA with WPT offers a considerable improvement in terms of SE and EE of the network compared to other methods. Finally, the effectiveness of BA in solving the EE optimization problem is demonstrated through a high convergence speed by comparing it with other methods.

Khazali, A., Tarchi, D., G. Shayesteh, M., Kalbkhani, H., Bozorgchenani, A. (2022). Energy Efficient Uplink Transmission in Cooperative mmWave NOMA Networks with Wireless Power Transfer. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(1), 391-405 [10.1109/TVT.2021.3124076].

Energy Efficient Uplink Transmission in Cooperative mmWave NOMA Networks with Wireless Power Transfer

Tarchi, Daniele
;
2022

Abstract

In 5G wireless networks, cooperative non-orthogonal multiple access (NOMA) and wireless power transfer (WPT) are efficient ways to improve the spectral efficiency (SE) and energy efficiency (EE). In this paper, a new cooperative NOMA scheme with WPT is proposed, where EE optimization with a constrained maximum transmission power and minimum required SE is considered for the user grouping and transmission power allocation of users. We obtain a sub-optimal solution by decoupling the original problem in two sub-problems: an iterative algorithm is considered for the user grouping, while, in addition, we utilize the Bat Algorithm (BA) for solving the power allocation problem, where BA was proved to be able to achieve a higher accuracy and efficiency with respect to other meta-heuristic algorithms. Furthermore, to validate the performance of the proposed system, analytical expressions for the energy outage probability and outage probability of users are derived, confirming the effectiveness of the simulation results. It is demonstrated that the proposed cooperative NOMA with WPT offers a considerable improvement in terms of SE and EE of the network compared to other methods. Finally, the effectiveness of BA in solving the EE optimization problem is demonstrated through a high convergence speed by comparing it with other methods.
2022
Khazali, A., Tarchi, D., G. Shayesteh, M., Kalbkhani, H., Bozorgchenani, A. (2022). Energy Efficient Uplink Transmission in Cooperative mmWave NOMA Networks with Wireless Power Transfer. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 71(1), 391-405 [10.1109/TVT.2021.3124076].
Khazali, Azadeh; Tarchi, Daniele; G. Shayesteh, Mahrokh; Kalbkhani, Hashem; Bozorgchenani, Arash
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/836988
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