Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design
As massive ground users access wireless networks with limited available spectrum, coexisting users that share the same spectrum band severely interfere with each other. Moreover, communication pairs without direct communication links may suffer from severe outage issues. In this paper, unmanned aeri...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2022-01-01
|
| Series: | IEEE Open Journal of the Communications Society |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9902968/ |
| _version_ | 1817986348682838016 |
|---|---|
| author | Wei Wang Nan Qi Luliang Jia Chunguo Li Theodoros A. Tsiftsis Mei Wang |
| author_facet | Wei Wang Nan Qi Luliang Jia Chunguo Li Theodoros A. Tsiftsis Mei Wang |
| author_sort | Wei Wang |
| collection | DOAJ |
| description | As massive ground users access wireless networks with limited available spectrum, coexisting users that share the same spectrum band severely interfere with each other. Moreover, communication pairs without direct communication links may suffer from severe outage issues. In this paper, unmanned aerial vehicle (UAV) relaying-assisted interference coordination is proposed to enhance data transmission reliability by 1) relaying transmission, and 2) alleviating mutual interference among ground users. To efficiently utilize confined UAV energy such that the UAV relaying service life can be significantly prolonged, the full-duplex (FD) technique is exploited. An exact energy efficiency (EE) maximization problem is formulated, which jointly optimizes throughput and UAV energy consumption. Different from the traditional offline method, online power management and trajectory designs are performed under the information causality and rate constraints. Considering that power management and trajectory are coupled, we design a block coordinate descent method to efficiently solve the optimization problem. Numerical results demonstrate that the proposed scheme outperforms existing schemes, and the EE is about 30% and 46% higher than those of the genetic algorithm and half-duplex scheme, respectively. Moreover, impacts of different positions and the maximum power of ground users on the EE have been demonstrated. |
| first_indexed | 2024-04-14T00:07:54Z |
| format | Article |
| id | doaj.art-9cbaf5cbbeb64c908a57c330af2b163b |
| institution | Directory Open Access Journal |
| issn | 2644-125X |
| language | English |
| last_indexed | 2024-04-14T00:07:54Z |
| publishDate | 2022-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of the Communications Society |
| spelling | doaj.art-9cbaf5cbbeb64c908a57c330af2b163b2022-12-22T02:23:27ZengIEEEIEEE Open Journal of the Communications Society2644-125X2022-01-0131672168710.1109/OJCOMS.2022.32093689902968Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory DesignWei Wang0https://orcid.org/0000-0002-4646-0104Nan Qi1https://orcid.org/0000-0002-0125-370XLuliang Jia2https://orcid.org/0000-0002-7914-5987Chunguo Li3https://orcid.org/0000-0002-4689-7226Theodoros A. Tsiftsis4https://orcid.org/0000-0002-4856-3932Mei Wang5Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaSchool of Space Information, Space Engineering University, Beijing, ChinaSchool of Information Science and Engineering, Southeast University, Nanjing, ChinaSchool of Intelligence Science and Engineering, Jinan University, Zhuhai, ChinaKey Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space, Ministry of Industry and Information Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, ChinaAs massive ground users access wireless networks with limited available spectrum, coexisting users that share the same spectrum band severely interfere with each other. Moreover, communication pairs without direct communication links may suffer from severe outage issues. In this paper, unmanned aerial vehicle (UAV) relaying-assisted interference coordination is proposed to enhance data transmission reliability by 1) relaying transmission, and 2) alleviating mutual interference among ground users. To efficiently utilize confined UAV energy such that the UAV relaying service life can be significantly prolonged, the full-duplex (FD) technique is exploited. An exact energy efficiency (EE) maximization problem is formulated, which jointly optimizes throughput and UAV energy consumption. Different from the traditional offline method, online power management and trajectory designs are performed under the information causality and rate constraints. Considering that power management and trajectory are coupled, we design a block coordinate descent method to efficiently solve the optimization problem. Numerical results demonstrate that the proposed scheme outperforms existing schemes, and the EE is about 30% and 46% higher than those of the genetic algorithm and half-duplex scheme, respectively. Moreover, impacts of different positions and the maximum power of ground users on the EE have been demonstrated.https://ieeexplore.ieee.org/document/9902968/Energy efficiency (EE)full-duplex relayingmutual interference coordinationunmanned aerial vehicle (UAV) relay |
| spellingShingle | Wei Wang Nan Qi Luliang Jia Chunguo Li Theodoros A. Tsiftsis Mei Wang Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design IEEE Open Journal of the Communications Society Energy efficiency (EE) full-duplex relaying mutual interference coordination unmanned aerial vehicle (UAV) relay |
| title | Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design |
| title_full | Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design |
| title_fullStr | Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design |
| title_full_unstemmed | Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design |
| title_short | Energy-Efficient UAV-Relaying 5G/6G Spectrum Sharing Networks: Interference Coordination With Power Management and Trajectory Design |
| title_sort | energy efficient uav relaying 5g 6g spectrum sharing networks interference coordination with power management and trajectory design |
| topic | Energy efficiency (EE) full-duplex relaying mutual interference coordination unmanned aerial vehicle (UAV) relay |
| url | https://ieeexplore.ieee.org/document/9902968/ |
| work_keys_str_mv | AT weiwang energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign AT nanqi energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign AT luliangjia energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign AT chunguoli energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign AT theodorosatsiftsis energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign AT meiwang energyefficientuavrelaying5g6gspectrumsharingnetworksinterferencecoordinationwithpowermanagementandtrajectorydesign |