Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization
The relay function of unmanned aerial vehicles (UAVs) is playing an increasingly important role in wireless communication systems, as UAVs often perform tasks at high altitudes and can avoid the impact of ground obstructions on the communication links between ground communication devices, thereby en...
| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
IEEE
2024-01-01
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| coleção: | IEEE Access |
| Assuntos: | |
| Acesso em linha: | https://ieeexplore.ieee.org/document/10496665/ |
| _version_ | 1827276320781893632 |
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| author | Jinyu Yang Dongdong Bai Xing Yuan Dongmei Li |
| author_facet | Jinyu Yang Dongdong Bai Xing Yuan Dongmei Li |
| author_sort | Jinyu Yang |
| collection | DOAJ |
| description | The relay function of unmanned aerial vehicles (UAVs) is playing an increasingly important role in wireless communication systems, as UAVs often perform tasks at high altitudes and can avoid the impact of ground obstructions on the communication links between ground communication devices, thereby enhancing the reliability and communication capacity of the links. Meanwhile, UAVs have more degrees of freedom and can achieve optimal position deployment and robust anti-jamming performance through flexible adjustment of spatial position. However, the premise for UAVs to achieve the above advantages is accurate modeling and analysis of the wireless communication channel, as well as the deployment of reasonable joint geographic-electromagnetic domain optimization (JGEDO) algorithms to fully utilize their own degrees of freedom. Due to the increasing threat posed by the current electronic warfare environment to the normal communication of UAVs, this article focuses on environments with malicious jamming and geographic obstacles, and constructs a communication system composed of a base station (BS), a relay UAV, and several remote ground robots (RGRs). On the basis of considering multipath fading and estimation error of jammer position, the expected value of instantaneous average signal-to-interference-ratio (SIR) for the entire system is derived. Taking this indicator as the optimization objective, this article develops a joint optimization algorithm for the position of the UAV and the mainlobe width of UAV antenna beams. Numerical simulation verifies the effectiveness of this algorithm compared to traditional algorithms. |
| first_indexed | 2024-04-24T06:42:15Z |
| format | Article |
| id | doaj.art-747c9bf7be254f2ab0a68d28786a3da4 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T06:42:15Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-747c9bf7be254f2ab0a68d28786a3da42024-04-22T23:00:16ZengIEEEIEEE Access2169-35362024-01-0112539285394310.1109/ACCESS.2024.338756910496665Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain OptimizationJinyu Yang0https://orcid.org/0000-0001-8907-9541Dongdong Bai1Xing Yuan2Dongmei Li3China Rongtong Artificial Intelligence Research Centre, Chaoyang, Beijing, ChinaChina Rongtong Artificial Intelligence Research Centre, Chaoyang, Beijing, ChinaChina Rongtong Artificial Intelligence Research Centre, Chaoyang, Beijing, ChinaChina Rongtong Artificial Intelligence Research Centre, Chaoyang, Beijing, ChinaThe relay function of unmanned aerial vehicles (UAVs) is playing an increasingly important role in wireless communication systems, as UAVs often perform tasks at high altitudes and can avoid the impact of ground obstructions on the communication links between ground communication devices, thereby enhancing the reliability and communication capacity of the links. Meanwhile, UAVs have more degrees of freedom and can achieve optimal position deployment and robust anti-jamming performance through flexible adjustment of spatial position. However, the premise for UAVs to achieve the above advantages is accurate modeling and analysis of the wireless communication channel, as well as the deployment of reasonable joint geographic-electromagnetic domain optimization (JGEDO) algorithms to fully utilize their own degrees of freedom. Due to the increasing threat posed by the current electronic warfare environment to the normal communication of UAVs, this article focuses on environments with malicious jamming and geographic obstacles, and constructs a communication system composed of a base station (BS), a relay UAV, and several remote ground robots (RGRs). On the basis of considering multipath fading and estimation error of jammer position, the expected value of instantaneous average signal-to-interference-ratio (SIR) for the entire system is derived. Taking this indicator as the optimization objective, this article develops a joint optimization algorithm for the position of the UAV and the mainlobe width of UAV antenna beams. Numerical simulation verifies the effectiveness of this algorithm compared to traditional algorithms.https://ieeexplore.ieee.org/document/10496665/UAV relaySIRmultipath fadingmainlobe width |
| spellingShingle | Jinyu Yang Dongdong Bai Xing Yuan Dongmei Li Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization IEEE Access UAV relay SIR multipath fading mainlobe width |
| title | Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization |
| title_full | Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization |
| title_fullStr | Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization |
| title_full_unstemmed | Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization |
| title_short | Anti-Jamming UAV Relaying Based on Joint Geographic-Electromagnetic Domain Optimization |
| title_sort | anti jamming uav relaying based on joint geographic electromagnetic domain optimization |
| topic | UAV relay SIR multipath fading mainlobe width |
| url | https://ieeexplore.ieee.org/document/10496665/ |
| work_keys_str_mv | AT jinyuyang antijamminguavrelayingbasedonjointgeographicelectromagneticdomainoptimization AT dongdongbai antijamminguavrelayingbasedonjointgeographicelectromagneticdomainoptimization AT xingyuan antijamminguavrelayingbasedonjointgeographicelectromagneticdomainoptimization AT dongmeili antijamminguavrelayingbasedonjointgeographicelectromagneticdomainoptimization |