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

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 constrai...

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Vydáno v:IEEE transactions on vehicular technology Ročník 71; číslo 1; s. 391 - 405
Hlavní autoři: Khazali, Azadeh, Tarchi, Daniele, Shayesteh, Mahrokh G., Kalbkhani, Hashem, Bozorgchenani, Arash
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2022
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
5G mobile communication
Array signal processing
Bat algorithm
cooperative NOMA
Decoupling
Effectiveness
Efficiency
energy efficiency
Energy harvesting
Heuristic methods
Iterative algorithms
Mathematical analysis
Millimeter waves
mmWave network
NOMA
Nonorthogonal multiple access
Optimization
Outages
Resource management
spectral efficiency
Uplink
Wireless communication
Wireless networks
wireless power transfer
Wireless power transmission
ISSN:0018-9545, 1939-9359
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Shrnutí: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 transmit power and minimum required SE is considered for the user grouping and transmit 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.
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ISSN:0018-9545
1939-9359
DOI:10.1109/TVT.2021.3124076