Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations
Intelligent reflection surface (IRS) is an advanced technology that effectively transforms the wireless propagation environment to next-generation wireless networks. In this paper, we employ the IRS-supported multi-aerial base station (ABS) in a downlink non-orthogonal multiple access (NOMA) heterog...
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2025-01-01
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| author | Osamah Thamer Hassan Alzubaidi Mhd Nour Hindia Kaharudin Dimyati Kamarul Ariffin Noordin Faizan Qamar Atef Abdrabou |
| author_facet | Osamah Thamer Hassan Alzubaidi Mhd Nour Hindia Kaharudin Dimyati Kamarul Ariffin Noordin Faizan Qamar Atef Abdrabou |
| author_sort | Osamah Thamer Hassan Alzubaidi |
| collection | DOAJ |
| description | Intelligent reflection surface (IRS) is an advanced technology that effectively transforms the wireless propagation environment to next-generation wireless networks. In this paper, we employ the IRS-supported multi-aerial base station (ABS) in a downlink non-orthogonal multiple access (NOMA) heterogeneous network (HetNets), where the transmission signals from multiple ABSs to ground users (GUs) are enhanced using the IRS. Our goal is to maximize the system sum rate (SSR) by mitigating inter-cluster and intra-cluster interference and to maximize system energy efficiency (SEE) by minimizing ABS power transmission while preserving the required minimum data rate. The formulated optimization problem is non-convex due to the joint optimization of ABS power transmission, ABS three-dimensional (3D) positions, IRS reflection angles (RAs), IRS reflection coefficients (RCs), and decoding order (DEO) among GUs. To tackle this problem, a meta-heuristic algorithm based on the modified gray wolf optimization (MGWO) and an alternation max/min technique based on the developed Block Coordinate Descent (DBCD) are proposed. In particular, the original optimization problem is divided into four sub-problems; the first three sub-problems (RS RAs, IRS RCs, and ABS 3D positions) are alternately addressed using the MGWO technique; and the fourth sub-problem (ABS power transmission) is addressed using the DBCD technique. Finally, a dynamic DEO strategy is utilized to address the NOMA DEO among GUs. The numerical results demonstrated that the proposed schemes outperformed the conventional schemes, achieving up to a 43.289% improvement in SSR and a 71.536% enhancement in SEE, while minimizing the total power consumption. Moreover, the results demonstrate that integrating IRS into multi-ABS HetNets significantly improves the total performance by enhancing the quality of the channel between ABSs and their corresponding GUs while minimizing inter-ABS interference. Finally, by strategically optimizing ABS 3D positions and utilizing DEO among GUs, the SSR and SEE gain achieved by NOMA is shown to be more significant compared to conventional methods. |
| format | Article |
| id | doaj-art-02e6a408e7f749a3bc0d679994b4717b |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-02e6a408e7f749a3bc0d679994b4717b2025-01-24T00:01:46ZengIEEEIEEE Access2169-35362025-01-01139230925110.1109/ACCESS.2025.352575810824783Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base StationsOsamah Thamer Hassan Alzubaidi0https://orcid.org/0000-0003-3480-0500Mhd Nour Hindia1Kaharudin Dimyati2https://orcid.org/0000-0002-0186-3890Kamarul Ariffin Noordin3https://orcid.org/0000-0003-4003-4793Faizan Qamar4https://orcid.org/0000-0002-0390-7842Atef Abdrabou5https://orcid.org/0000-0002-9639-7684Department of Electrical Engineering, Faculty of Engineering, Centre of Advanced Communication, Research and Innovation (ACRI), Universiti Malaya (UM), Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, Centre of Advanced Communication, Research and Innovation (ACRI), Universiti Malaya (UM), Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, Centre of Advanced Communication, Research and Innovation (ACRI), Universiti Malaya (UM), Kuala Lumpur, MalaysiaDepartment of Electrical Engineering, Faculty of Engineering, Centre of Advanced Communication, Research and Innovation (ACRI), Universiti Malaya (UM), Kuala Lumpur, MalaysiaCentre for Cyber Security, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia (UKM), Bangi, Selangor, MalaysiaElectrical and Communication Engineering Department, College of Engineering, United Arab Emirates University, Al Ain, United Arab EmiratesIntelligent reflection surface (IRS) is an advanced technology that effectively transforms the wireless propagation environment to next-generation wireless networks. In this paper, we employ the IRS-supported multi-aerial base station (ABS) in a downlink non-orthogonal multiple access (NOMA) heterogeneous network (HetNets), where the transmission signals from multiple ABSs to ground users (GUs) are enhanced using the IRS. Our goal is to maximize the system sum rate (SSR) by mitigating inter-cluster and intra-cluster interference and to maximize system energy efficiency (SEE) by minimizing ABS power transmission while preserving the required minimum data rate. The formulated optimization problem is non-convex due to the joint optimization of ABS power transmission, ABS three-dimensional (3D) positions, IRS reflection angles (RAs), IRS reflection coefficients (RCs), and decoding order (DEO) among GUs. To tackle this problem, a meta-heuristic algorithm based on the modified gray wolf optimization (MGWO) and an alternation max/min technique based on the developed Block Coordinate Descent (DBCD) are proposed. In particular, the original optimization problem is divided into four sub-problems; the first three sub-problems (RS RAs, IRS RCs, and ABS 3D positions) are alternately addressed using the MGWO technique; and the fourth sub-problem (ABS power transmission) is addressed using the DBCD technique. Finally, a dynamic DEO strategy is utilized to address the NOMA DEO among GUs. The numerical results demonstrated that the proposed schemes outperformed the conventional schemes, achieving up to a 43.289% improvement in SSR and a 71.536% enhancement in SEE, while minimizing the total power consumption. Moreover, the results demonstrate that integrating IRS into multi-ABS HetNets significantly improves the total performance by enhancing the quality of the channel between ABSs and their corresponding GUs while minimizing inter-ABS interference. Finally, by strategically optimizing ABS 3D positions and utilizing DEO among GUs, the SSR and SEE gain achieved by NOMA is shown to be more significant compared to conventional methods.https://ieeexplore.ieee.org/document/10824783/B5GDBCDMGWOABSIRSHetNets |
| spellingShingle | Osamah Thamer Hassan Alzubaidi Mhd Nour Hindia Kaharudin Dimyati Kamarul Ariffin Noordin Faizan Qamar Atef Abdrabou Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations IEEE Access B5G DBCD MGWO ABS IRS HetNets |
| title | Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations |
| title_full | Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations |
| title_fullStr | Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations |
| title_full_unstemmed | Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations |
| title_short | Minimizing Power Consumption and Interference Mitigation of Downlink NOMA HetNets by IRS-Supported Aerial Base Stations |
| title_sort | minimizing power consumption and interference mitigation of downlink noma hetnets by irs supported aerial base stations |
| topic | B5G DBCD MGWO ABS IRS HetNets |
| url | https://ieeexplore.ieee.org/document/10824783/ |
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