移动通信2024，Vol.48Issue(3)：14-20,7.DOI:10.3969/j.issn.1006-1010.20240122-0001
立体交通系统通感算一体化关键技术
Key Technology for Integrated Communication Sensing and Computing in Three-Dimensional Transportation System
摘要
Abstract
Incorporating unmanned aerial vehicles(UAVs),intelligent connected vehicles,and road infrastructure,three-dimensional transportation systems emerge as a cutting-edge direction in smart city integrated transport development in the 6G network.With the increasing integration of a myriad of wireless communication terminals and smart sensors into the transportation environment,vehicles,and road infrastructure,the demand for communication and sensing in three-dimensional transportation systems is on the rise.However,the development of current systems is hindered by constraints in network architecture,communication resources,computational resources,and sensing capabilities,necessitating a coordinated enhancement in their information exchange and integrated processing capabilities.On the other hand,the progression of integrated sensing and communication with edge computing(ISAC-EC)technologies and their deployment in air-ground cooperative networks furnish new impetus for the evolution of three-dimensional transportation systems.Tailored to the application scenarios of three-dimensional transportation systems,this study recapitulates the current advancements and applications of ISAC-EC technologies,subsequently establishing an air-to-ground and ground-to-air communication sensing joint optimization model,and delineating pivotal technological approaches for the joint design of communication and radar beams.Ultimately,simulation experiments conducted in typical application scenarios elucidate the application potential and advantages of integrated sensing,communication,and computing technologies in three-dimensional transportation systems,offering guidance for future system development and construction.关键词
立体交通系统/无人机/智能网联汽车/通信感知与边缘计算一体化/凸优化Key words
three-dimensional transportation system/unmanned aerial vehicle/intelligent connected vehicle/integrated sensing and communication with edge computing/convex optimization分类
电子信息工程引用本文复制引用
李晨玮,周建山,田大新,段续庭..立体交通系统通感算一体化关键技术[J].移动通信,2024,48(3):14-20,7.基金项目
国家自然科学基青年基金"随机不确定干扰下无人机-车辆群体拓扑可靠性机理及组网传输优化研究"(52202391) （52202391）
国家自然科学基区域联合创新基金重点项目"车路云感传一体化与智能汽车安全决策理论及关键技术"(U20A20155) （U20A20155）
