Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks
The motivations for deploying energy and spectral-efficient network architectures are the high energy consumption and the need for more spectral resources in modern cellular networks. The key method to solve the energy efficiency <inline-formula><math xmlns="http://www.w3.org/1998/Math...
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/11/5421 |
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| author | Mahmoud Ahmed El-ghorab Mohamed Rihan El-meligy Mohamed Mostafa Ibrahim Fatma Newagy |
| author_facet | Mahmoud Ahmed El-ghorab Mohamed Rihan El-meligy Mohamed Mostafa Ibrahim Fatma Newagy |
| author_sort | Mahmoud Ahmed El-ghorab |
| collection | DOAJ |
| description | The motivations for deploying energy and spectral-efficient network architectures are the high energy consumption and the need for more spectral resources in modern cellular networks. The key method to solve the energy efficiency <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced open="(" close=")"><mi>EE</mi></mfenced></semantics></math></inline-formula> maximization problem of the downlink non-orthogonal multiple access (NOMA)-based massive MIMO system is to decouple it into user pairing and efficient power allocation problems. This work studies the performance of three main pairing methods in NOMA-based networks: Hungarian, Gale–Shapley, and correlation-based approaches. Firstly, we provide a mathematical analysis for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>EE</mi></semantics></math></inline-formula> of downlink NOMA in a massive MIMO system for the non-line of sight (NLoS) channel model with perfect successive interference cancellation (SIC). Finally, the sequential convex programming (SCP) approach is used to tackle the power allocation problem. Simulation results show that the Hungarian algorithm for pairing plus SCP for power allocation (Hungarian algorithm-SCP) achieves the highest energy efficiency among all the three pairing algorithms with an identical performance to joint user and resource block association with power allocation (joint user-RB PA) algorithm but with much lower computational complexity and outperforms the NOMA SCP greedy algorithm (NOMA-SCP-GA). |
| first_indexed | 2024-03-10T01:31:38Z |
| format | Article |
| id | doaj.art-66394fbfc1604fbfb3923628ec7b2341 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T01:31:38Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-66394fbfc1604fbfb3923628ec7b23412023-11-23T13:41:25ZengMDPI AGApplied Sciences2076-34172022-05-011211542110.3390/app12115421Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO NetworksMahmoud Ahmed El-ghorab0Mohamed Rihan El-meligy1Mohamed Mostafa Ibrahim2Fatma Newagy3Department of Electronics and Communications, Faculty of Engineering, Ain Shams University (ASU), Cairo 11566, EgyptDepartment of Electronics and Communication Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf City 32951, EgyptDepartment of Electrical Engineering, Faculty of Engineering, Suez Canal University, Ismailia 41522, EgyptDepartment of Electronics and Communications, Faculty of Engineering, Ain Shams University (ASU), Cairo 11566, EgyptThe motivations for deploying energy and spectral-efficient network architectures are the high energy consumption and the need for more spectral resources in modern cellular networks. The key method to solve the energy efficiency <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mfenced open="(" close=")"><mi>EE</mi></mfenced></semantics></math></inline-formula> maximization problem of the downlink non-orthogonal multiple access (NOMA)-based massive MIMO system is to decouple it into user pairing and efficient power allocation problems. This work studies the performance of three main pairing methods in NOMA-based networks: Hungarian, Gale–Shapley, and correlation-based approaches. Firstly, we provide a mathematical analysis for <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mi>EE</mi></semantics></math></inline-formula> of downlink NOMA in a massive MIMO system for the non-line of sight (NLoS) channel model with perfect successive interference cancellation (SIC). Finally, the sequential convex programming (SCP) approach is used to tackle the power allocation problem. Simulation results show that the Hungarian algorithm for pairing plus SCP for power allocation (Hungarian algorithm-SCP) achieves the highest energy efficiency among all the three pairing algorithms with an identical performance to joint user and resource block association with power allocation (joint user-RB PA) algorithm but with much lower computational complexity and outperforms the NOMA SCP greedy algorithm (NOMA-SCP-GA).https://www.mdpi.com/2076-3417/12/11/5421user pairingNOMAmassive MIMOHungarianGale–Shapley5G |
| spellingShingle | Mahmoud Ahmed El-ghorab Mohamed Rihan El-meligy Mohamed Mostafa Ibrahim Fatma Newagy Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks Applied Sciences user pairing NOMA massive MIMO Hungarian Gale–Shapley 5G |
| title | Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks |
| title_full | Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks |
| title_fullStr | Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks |
| title_full_unstemmed | Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks |
| title_short | Energy-Efficient User Pairing for Downlink NOMA in Massive MIMO Networks |
| title_sort | energy efficient user pairing for downlink noma in massive mimo networks |
| topic | user pairing NOMA massive MIMO Hungarian Gale–Shapley 5G |
| url | https://www.mdpi.com/2076-3417/12/11/5421 |
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