天地算力网络中的异构资源协同博弈

TN927; 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....

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Published in通信学报 Vol. 44; no. 12; pp. 15 - 27
Main Authors 张雨童, 彭煜明, 邸博雅, 宋令阳
Format Journal Article
LanguageChinese
Published 北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871%北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871 01.12.2023
北京大学深圳研究生院信息工程学院,广东 深圳 518055
Subjects
多智能体强化学习
异构资源协同博弈
space-ground computing power network
天地算力网络
multi-agent reinforce-ment learning
heterogeneous resource cooperative game
Online AccessGet full text
ISSN1000-436X
DOI10.11959/j.issn.1000-436x.2023214

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Abstract TN927; 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.
AbstractList TN927; 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.
Abstract_FL 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.
Author 张雨童
邸博雅
彭煜明
宋令阳
AuthorAffiliation 北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871%北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871;北京大学深圳研究生院信息工程学院,广东 深圳 518055
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Author_FL PENG Yuming
SONG Lingyang
ZHANG Yutong
DI Boya
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Issue 12
Keywords 多智能体强化学习
异构资源协同博弈
space-ground computing power network
天地算力网络
multi-agent reinforce-ment learning
heterogeneous resource cooperative game
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Publisher 北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871%北京大学区域光纤通信网与新型光通信系统国家重点实验室,北京 100871
北京大学深圳研究生院信息工程学院,广东 深圳 518055
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Snippet TN927; 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...
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Title 天地算力网络中的异构资源协同博弈
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