天地算力网络中的异构资源协同博弈

Heterogeneous resource cooperative game in space-ground computing power network

为解决多卫星天地算力网络中的星间资源博弈,围绕计算、频谱域资源管理问题,设计了一种天地异构资源协同博弈机制。每颗卫星搭载一项计算任务,各任务间彼此独立,依赖用户设备从环境中获取原始数据,通过竞争网络中的计算/频谱资源实现数据卸载与计算。为提供高速数据服务,提出基于多智能体强化学习的分布式算法,以协调星间异构资源竞争,实现系统时延最小化。仿真表明,与现有方案相比,所提算法可获得更低的系统时延。

To deal with the resource competition among satellites in the multi-satellite space-ground computing network,a space-ground heterogeneous resource cooperative game mechanism was designed in terms of the computing and spec-trum domains.Each satellite published a computing task which was independent of other tasks and relied on UE to gen-erate raw data.By competing the resources of user terminals and UE,the task offloading and processing was achieved.To provide real-time data services,a distributed scheme was proposed based on multi-agent reinforcement learning to coor-dinate the computing and spectrum resource competition among satellites,thereby minimizing the system latency.Simu-lation results indicated that,compared with the existing schemes,the proposed algorithm achieves a lower system latency by fully utilizing the computing and spectrum resources and coordinating the resource competition.