Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks
The increasing in energy consumptions of the current wireless networks, leads towards designing energy-efficient 5G networks. The application of non-orthogonal multiple access (NOMA) in the heterogeneous networks (HetNets) improves the spectrum utilization with the cost of efficient resource allocat...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers
2020
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/88993/1/ALG.pdf |
| _version_ | 1825936605863477248 |
|---|---|
| author | Ali, Zuhura Juma Noordin, Nor Kamariah Sali, Aduwati Hashim, Fazirulhisyam |
| author_facet | Ali, Zuhura Juma Noordin, Nor Kamariah Sali, Aduwati Hashim, Fazirulhisyam |
| author_sort | Ali, Zuhura Juma |
| collection | UPM |
| description | The increasing in energy consumptions of the current wireless networks, leads towards designing energy-efficient 5G networks. The application of non-orthogonal multiple access (NOMA) in the heterogeneous networks (HetNets) improves the spectrum utilization with the cost of efficient resource allocation. Hence, this article proposes optimal user-pairing and power allocation solutions towards achieving fair energy-efficient resource allocation in downlink femtocell NOMA-HetNets. In the proposed optimization process, the considered constraints are the user's transmission rate, transmit power budget at the base station (BS), and the interference. The energy consumption of both the transmitter and the receiver are considered to simulate the real system design. The Greedy Algorithm (GA) is used to achieve a low-complex optimal solution during the user-pairing process. Simultaneously, the max-min energy efficiency optimization approach is employed to maximize the minimum energy efficiency of the femtocell users to achieve the optimal power allocation solution. The mathematical formulation of the max-min energy efficiency is a non-convex fractional programming problem and is intractable. Thus, the fractional programming theory is adopted to transform the problem into a sequence of subtractive form, followed by the Sequential Convex Programming (SCP) approach to determine the optimal solution. Simulation results show that the proposed NOMA with optimal power allocation method using SCP and GA (NOMA-SCP-GA) achieves fair energy efficiency performance with lower complexity compared to the benchmark methods. Moreover, the minimum energy efficiency of the femtocell user is 38.22% higher than NOMA with Difference of Convex programming (NOMA-DC). The NOMA-SCP-GA method can assure 5G capability demands. |
| first_indexed | 2024-03-06T10:46:50Z |
| format | Article |
| id | upm.eprints-88993 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T10:46:50Z |
| publishDate | 2020 |
| publisher | Institute of Electrical and Electronics Engineers |
| record_format | dspace |
| spelling | upm.eprints-889932021-10-04T22:18:18Z http://psasir.upm.edu.my/id/eprint/88993/ Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks Ali, Zuhura Juma Noordin, Nor Kamariah Sali, Aduwati Hashim, Fazirulhisyam The increasing in energy consumptions of the current wireless networks, leads towards designing energy-efficient 5G networks. The application of non-orthogonal multiple access (NOMA) in the heterogeneous networks (HetNets) improves the spectrum utilization with the cost of efficient resource allocation. Hence, this article proposes optimal user-pairing and power allocation solutions towards achieving fair energy-efficient resource allocation in downlink femtocell NOMA-HetNets. In the proposed optimization process, the considered constraints are the user's transmission rate, transmit power budget at the base station (BS), and the interference. The energy consumption of both the transmitter and the receiver are considered to simulate the real system design. The Greedy Algorithm (GA) is used to achieve a low-complex optimal solution during the user-pairing process. Simultaneously, the max-min energy efficiency optimization approach is employed to maximize the minimum energy efficiency of the femtocell users to achieve the optimal power allocation solution. The mathematical formulation of the max-min energy efficiency is a non-convex fractional programming problem and is intractable. Thus, the fractional programming theory is adopted to transform the problem into a sequence of subtractive form, followed by the Sequential Convex Programming (SCP) approach to determine the optimal solution. Simulation results show that the proposed NOMA with optimal power allocation method using SCP and GA (NOMA-SCP-GA) achieves fair energy efficiency performance with lower complexity compared to the benchmark methods. Moreover, the minimum energy efficiency of the femtocell user is 38.22% higher than NOMA with Difference of Convex programming (NOMA-DC). The NOMA-SCP-GA method can assure 5G capability demands. Institute of Electrical and Electronics Engineers 2020 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/88993/1/ALG.pdf Ali, Zuhura Juma and Noordin, Nor Kamariah and Sali, Aduwati and Hashim, Fazirulhisyam (2020) Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks. IEEE Access, 8 (1). 200129 - 200145. ISSN 2169-3536 https://ieeexplore.ieee.org/document/9246508 10.1109/ACCESS.2020.3035212 |
| spellingShingle | Ali, Zuhura Juma Noordin, Nor Kamariah Sali, Aduwati Hashim, Fazirulhisyam Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title | Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title_full | Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title_fullStr | Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title_full_unstemmed | Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title_short | Fair energy-efficient resource allocation for downlink NOMA heterogeneous networks |
| title_sort | fair energy efficient resource allocation for downlink noma heterogeneous networks |
| url | http://psasir.upm.edu.my/id/eprint/88993/1/ALG.pdf |
| work_keys_str_mv | AT alizuhurajuma fairenergyefficientresourceallocationfordownlinknomaheterogeneousnetworks AT noordinnorkamariah fairenergyefficientresourceallocationfordownlinknomaheterogeneousnetworks AT saliaduwati fairenergyefficientresourceallocationfordownlinknomaheterogeneousnetworks AT hashimfazirulhisyam fairenergyefficientresourceallocationfordownlinknomaheterogeneousnetworks |