{"title":"基于混合后向散射和无线供电通信的无人驾驶飞行器:三维轨迹设计与资源调度","authors":"Bin Rao;Jie Hu;Kun Yang","doi":"10.1109/TCCN.2024.3440920","DOIUrl":null,"url":null,"abstract":"This paper proposes a hybrid backscatter and wireless powered communications system based on unmanned aerial vehicle (UAV). UAV operates both as a source of radio frequency (RF) signals and an information collector. The system integrates passive information transmission (IT) via backscatter communication (BC) and active IT via wireless powered communication (WPC) to meet the requirements of low-power multi-function communication. At the same time, the system considers the LOS/NLOS channel at variable altitude. By jointly designing the 3D flight trajectory of UAV, the system time slot resources and the active transmit power of ground equipment can maximize the fair rate of ground equipment, and the system also considers various flight restrictions of UAV. Based on the block coordinate descent algorithm, this paper divides the original problem into several sub-problems and processes them separately, and finally obtains an approximate solution through joint iteration. The simulation results show that the hybrid backscatter and wireless powered communications system based on UAV proposed in this paper can significantly improve the fair rate of ground equipment compared with other benchmark schemes.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1678-1689"},"PeriodicalIF":7.4000,"publicationDate":"2024-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Unmanned Aerial Vehicle-Based Hybrid Backscatter and Wireless Powered Communications: 3-D Trajectory Design and Resource Scheduling\",\"authors\":\"Bin Rao;Jie Hu;Kun Yang\",\"doi\":\"10.1109/TCCN.2024.3440920\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a hybrid backscatter and wireless powered communications system based on unmanned aerial vehicle (UAV). UAV operates both as a source of radio frequency (RF) signals and an information collector. The system integrates passive information transmission (IT) via backscatter communication (BC) and active IT via wireless powered communication (WPC) to meet the requirements of low-power multi-function communication. At the same time, the system considers the LOS/NLOS channel at variable altitude. By jointly designing the 3D flight trajectory of UAV, the system time slot resources and the active transmit power of ground equipment can maximize the fair rate of ground equipment, and the system also considers various flight restrictions of UAV. Based on the block coordinate descent algorithm, this paper divides the original problem into several sub-problems and processes them separately, and finally obtains an approximate solution through joint iteration. The simulation results show that the hybrid backscatter and wireless powered communications system based on UAV proposed in this paper can significantly improve the fair rate of ground equipment compared with other benchmark schemes.\",\"PeriodicalId\":13069,\"journal\":{\"name\":\"IEEE Transactions on Cognitive Communications and Networking\",\"volume\":\"10 5\",\"pages\":\"1678-1689\"},\"PeriodicalIF\":7.4000,\"publicationDate\":\"2024-08-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Cognitive Communications and Networking\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10632101/\",\"RegionNum\":1,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"TELECOMMUNICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cognitive Communications and Networking","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10632101/","RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"TELECOMMUNICATIONS","Score":null,"Total":0}
Unmanned Aerial Vehicle-Based Hybrid Backscatter and Wireless Powered Communications: 3-D Trajectory Design and Resource Scheduling
This paper proposes a hybrid backscatter and wireless powered communications system based on unmanned aerial vehicle (UAV). UAV operates both as a source of radio frequency (RF) signals and an information collector. The system integrates passive information transmission (IT) via backscatter communication (BC) and active IT via wireless powered communication (WPC) to meet the requirements of low-power multi-function communication. At the same time, the system considers the LOS/NLOS channel at variable altitude. By jointly designing the 3D flight trajectory of UAV, the system time slot resources and the active transmit power of ground equipment can maximize the fair rate of ground equipment, and the system also considers various flight restrictions of UAV. Based on the block coordinate descent algorithm, this paper divides the original problem into several sub-problems and processes them separately, and finally obtains an approximate solution through joint iteration. The simulation results show that the hybrid backscatter and wireless powered communications system based on UAV proposed in this paper can significantly improve the fair rate of ground equipment compared with other benchmark schemes.
期刊介绍:
The IEEE Transactions on Cognitive Communications and Networking (TCCN) aims to publish high-quality manuscripts that push the boundaries of cognitive communications and networking research. Cognitive, in this context, refers to the application of perception, learning, reasoning, memory, and adaptive approaches in communication system design. The transactions welcome submissions that explore various aspects of cognitive communications and networks, focusing on innovative and holistic approaches to complex system design. Key topics covered include architecture, protocols, cross-layer design, and cognition cycle design for cognitive networks. Additionally, research on machine learning, artificial intelligence, end-to-end and distributed intelligence, software-defined networking, cognitive radios, spectrum sharing, and security and privacy issues in cognitive networks are of interest. The publication also encourages papers addressing novel services and applications enabled by these cognitive concepts.