In the upcoming sixth-generation(6G)era,supporting field robots for unmanned operations has emerged as an important application direction.To provide connectivity in remote areas,the space-air-ground integrated network...In the upcoming sixth-generation(6G)era,supporting field robots for unmanned operations has emerged as an important application direction.To provide connectivity in remote areas,the space-air-ground integrated network(SAGIN)will play a crucial role in extending coverage.Through SAGIN connections,the sensors,edge platforms,and actuators form sensing-communication-computing-control(SC^(3))loops that can automatically execute complex tasks without human intervention.Similar to the reflex arc,the SC_(3)loop is an integrated structure that cannot be deconstructed.This necessitates a systematic approach that takes the SC^(3)loop rather than the communication link as the basic unit of SAGINs.Given the resource limitations in remote areas,we propose a radio-map-based task-oriented framework that uses environmental and task-related information to enable task-matched service provision.We detail how the network collects and uses this information and present task-oriented scheduling schemes.In the case study,we use a control task as an example and validate the superiority of the task-oriented closedloop optimization scheme over traditional communication schemes.Finally,we discuss open challenges and possible solutions for developing nerve system-like SAGINs.展开更多
基金supported in part by the National Natural Science Foundation of China(62425110 and U22A2002)the National Key Research and Development Program of China(2020YFA0711301)+1 种基金the Suzhou Science and Technology Projectthe FAW Jiefang Automotive Co.,Ltd。
文摘In the upcoming sixth-generation(6G)era,supporting field robots for unmanned operations has emerged as an important application direction.To provide connectivity in remote areas,the space-air-ground integrated network(SAGIN)will play a crucial role in extending coverage.Through SAGIN connections,the sensors,edge platforms,and actuators form sensing-communication-computing-control(SC^(3))loops that can automatically execute complex tasks without human intervention.Similar to the reflex arc,the SC_(3)loop is an integrated structure that cannot be deconstructed.This necessitates a systematic approach that takes the SC^(3)loop rather than the communication link as the basic unit of SAGINs.Given the resource limitations in remote areas,we propose a radio-map-based task-oriented framework that uses environmental and task-related information to enable task-matched service provision.We detail how the network collects and uses this information and present task-oriented scheduling schemes.In the case study,we use a control task as an example and validate the superiority of the task-oriented closedloop optimization scheme over traditional communication schemes.Finally,we discuss open challenges and possible solutions for developing nerve system-like SAGINs.
