In this paper, we investigate the issue of satellite-terrestrial computing in the sixth generation (6G) wireless networks, where multiple terrestrial base stations (BSs) and low earth orbit (LEO) satellites collaboratively provide edge computing services to ground user equipments (GUEs) and space user equipments (SUEs) over the world. In particular, we design a complete process of satellite-terrestrial computing in terms of communication and computing according to the characteristics of 6G wireless networks. In order to minimize the weighted total energy consumption while ensuring delay requirements of computing tasks, an energy-efficient satellite-terrestrial computing algorithm is put forward by jointly optimizing offloading selection, beamforming design and resource allocation. Finally, both theoretical analysis and simulation results confirm fast convergence and superior performance of the proposed algorithm for satellite-terrestrial computing in 6G wireless networks.

翻译：本文研究了第六代（6G）无线网络中卫星-地面计算问题，其中多个地面基站（BSs）与低地球轨道（LEO）卫星协同为全球地面用户设备（GUEs）和空间用户设备（SUEs）提供边缘计算服务。特别地，我们根据6G无线网络特性，从通信与计算两维度设计了卫星-地面计算的完整流程。为在确保计算任务时延需求的同时最小化加权总能耗，通过联合优化卸载选择、波束赋形设计与资源分配，提出了一种高能效卫星-地面计算算法。最后，理论分析与仿真结果均验证了所提算法在6G无线网络卫星-地面计算中具有快速收敛性与优越性能。