Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design
We propose an autonomous aerial vehicle (AAV)-terrestrial base station (TBS) coordinated non-orthogonal multiple access (NOMA) scheme where AAV as an air BS coordinates with TBS to serve the users at cell edge via coordinated multi-point, and investigate its resource allocation problem for interfere...
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Vehicular Technology |
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| Online Access: | https://ieeexplore.ieee.org/document/10887123/ |
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| author | Haiyong Zeng Rui Zhang Xu Zhu Yufei Jiang Zhongxiang Wei Fu-Chun Zheng |
| author_facet | Haiyong Zeng Rui Zhang Xu Zhu Yufei Jiang Zhongxiang Wei Fu-Chun Zheng |
| author_sort | Haiyong Zeng |
| collection | DOAJ |
| description | We propose an autonomous aerial vehicle (AAV)-terrestrial base station (TBS) coordinated non-orthogonal multiple access (NOMA) scheme where AAV as an air BS coordinates with TBS to serve the users at cell edge via coordinated multi-point, and investigate its resource allocation problem for interference management and system performance enhancement. With the proposed scheme, the interference links between TBS and AAV-served users are enabled to carry useful information, therefore, an enhanced degree of freedom is achieved, leading to a much higher sum-rate over the non-coordinated AAV-assisted NOMA systems where the interference of AAV-served users from TBS is extensively suppressed. Moreover, joint optimization of user scheduling, power allocation and AAV three-dimensional (3D) trajectory design is conducted to maximize the sum-rate of edge users while maintaining a high quality of service at cell-center users, with the consideration of imperfect channel estimation: a) A user scheduling principle dedicated for AAV-TBS coordinated NOMA systems is presented, based on which a two-step user scheduling and power allocation (USPA) algorithm is proposed, with the derivation of optimal power allocation solution; b) A joint USPA algorithm is proposed with closed-form results; c) Considering the line of sight (LoS) and non-LoS factors in the air to ground channel, the 3D trajectory of AAV is designed based on successive convex approximation. It achieves an enhanced system performance, while requiring a lower complexity than the former two-step algorithm. |
| format | Article |
| id | doaj-art-d2af92e1dc6e49a58dc80aff2412796c |
| institution | OA Journals |
| issn | 2644-1330 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
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| series | IEEE Open Journal of Vehicular Technology |
| spelling | doaj-art-d2af92e1dc6e49a58dc80aff2412796c2025-08-20T01:51:20ZengIEEEIEEE Open Journal of Vehicular Technology2644-13302025-01-01681282810.1109/OJVT.2025.354208810887123Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory DesignHaiyong Zeng0https://orcid.org/0000-0003-4336-9492Rui Zhang1https://orcid.org/0009-0008-1625-7958Xu Zhu2https://orcid.org/0000-0003-1287-1623Yufei Jiang3https://orcid.org/0000-0003-0523-8117Zhongxiang Wei4https://orcid.org/0000-0003-0584-5566Fu-Chun Zheng5https://orcid.org/0000-0003-3184-3054Guangxi Key Laboratory of Braininspired Computing and Intelligent Chips, School of Electronic and Information Engineering/School of Integrated Circuits, Guangxi Normal University, Guilin, ChinaGuangxi Key Laboratory of Braininspired Computing and Intelligent Chips, School of Electronic and Information Engineering/School of Integrated Circuits, Guangxi Normal University, Guilin, ChinaSchool of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, ChinaSchool of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, ChinaCollege of Electronic and Information Engineering, and Shanghai Institute of Intelligent Science and Technology, Tongji University, Shanghai, ChinaSchool of Electronic and Information Engineering, Harbin Institute of Technology, Shenzhen, ChinaWe propose an autonomous aerial vehicle (AAV)-terrestrial base station (TBS) coordinated non-orthogonal multiple access (NOMA) scheme where AAV as an air BS coordinates with TBS to serve the users at cell edge via coordinated multi-point, and investigate its resource allocation problem for interference management and system performance enhancement. With the proposed scheme, the interference links between TBS and AAV-served users are enabled to carry useful information, therefore, an enhanced degree of freedom is achieved, leading to a much higher sum-rate over the non-coordinated AAV-assisted NOMA systems where the interference of AAV-served users from TBS is extensively suppressed. Moreover, joint optimization of user scheduling, power allocation and AAV three-dimensional (3D) trajectory design is conducted to maximize the sum-rate of edge users while maintaining a high quality of service at cell-center users, with the consideration of imperfect channel estimation: a) A user scheduling principle dedicated for AAV-TBS coordinated NOMA systems is presented, based on which a two-step user scheduling and power allocation (USPA) algorithm is proposed, with the derivation of optimal power allocation solution; b) A joint USPA algorithm is proposed with closed-form results; c) Considering the line of sight (LoS) and non-LoS factors in the air to ground channel, the 3D trajectory of AAV is designed based on successive convex approximation. It achieves an enhanced system performance, while requiring a lower complexity than the former two-step algorithm.https://ieeexplore.ieee.org/document/10887123/Autonomous aerial vehiclebase station coordinationnon-orthogonal multiple accessinterference managementresource allocation3D trajectory design |
| spellingShingle | Haiyong Zeng Rui Zhang Xu Zhu Yufei Jiang Zhongxiang Wei Fu-Chun Zheng Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design IEEE Open Journal of Vehicular Technology Autonomous aerial vehicle base station coordination non-orthogonal multiple access interference management resource allocation 3D trajectory design |
| title | Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design |
| title_full | Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design |
| title_fullStr | Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design |
| title_full_unstemmed | Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design |
| title_short | Interference-Aware AAV-TBS Coordinated NOMA: Joint User Scheduling, Power Allocation and Trajectory Design |
| title_sort | interference aware aav tbs coordinated noma joint user scheduling power allocation and trajectory design |
| topic | Autonomous aerial vehicle base station coordination non-orthogonal multiple access interference management resource allocation 3D trajectory design |
| url | https://ieeexplore.ieee.org/document/10887123/ |
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