星地融合中继网络时延与能耗边缘优化卸载策略

doi:10.11959/j.issn.2096-3750.2022.00289

物联网学报 ›› 2022, Vol. 6 ›› Issue (3): 124-132.doi: 10.11959/j.issn.2096-3750.2022.00289

星地融合中继网络时延与能耗边缘优化卸载策略

张美楠¹^,², 张鸣琪¹^,², 丁飞¹^,², 庄衡衡¹^,², 马海蓉¹^,²

¹ 南京邮电大学江苏省宽带无线通信和物联网重点实验室，江苏南京 210003
² 南京邮电大学物联网学院，江苏南京 210003

修回日期:2022-07-03 出版日期:2022-08-05 发布日期:2022-08-08
作者简介:张美楠（1998- ），女，南京邮电大学硕士生，主要研究方向为智慧物联网、星地融合网络
张鸣琪（1998- ），男，南京邮电大学物联网学院在读，主要研究方向为边缘智能与协同计算技术
丁飞（1981- ），男，博士，南京邮电大学物联网学院和物联网研究院副教授，主要研究方向为5G网络、星地融合网络、边缘智能与协同计算技术
庄衡衡（1998- ），男，南京邮电大学硕士生，主要研究方向为物联网与信息系统、边缘智能与协同计算技术
马海蓉（1998- ），女，南京邮电大学硕士生，主要研究方向为人工智能、星地融合网络
基金资助:
国家自然科学基金资助项目(61871446);国家自然科学基金资助项目(61872423);江苏省重点研发计划(BE2020084-1);江苏省“六大人才高峰”高层次人才资助项目(DZXX-008);南京邮电大学科研基金资助项目(NY220028)

Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network

Meinan ZHANG¹^,², Mingqi ZHANG¹^,², Fei DING¹^,², Hengheng ZHUANG¹^,², Hairong MA¹^,²

¹ Jiangsu Key Laboratory of Broadband Wireless Communication and Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China
² School of Internet of Things, Nanjing University of Posts and Telecommunications, Nanjing 210003, China

Revised:2022-07-03 Online:2022-08-05 Published:2022-08-08
Supported by:
The National Natural Science Foundation of China(61871446);The National Natural Science Foundation of China(61872423);The Key Research and Development Program of Jiangsu Province(BE2020084-1);The Six Talent Peaks High Level Talent Support Project of Jiangsu Province(DZXX-008);The Science Foundation of Nanjing University of Posts and Telecommunications(NY220028)

摘要/Abstract

摘要：

星地融合中继网络（ISTRN, integrated satellite-terrestrial relay network）是下一代无线通信系统的必要组成部分，对加快建成我国空天地一体化网络系统具有重要的现实意义。传统 ISTRN 架构大量的信令需要转发到地面控制中心进行处理，这增加了网络控制和管理的时延。提出了一种新型云雾计算架构，在地面接入和中心云之间构建分区域的边缘雾计算层，提高业务流管理和控制的灵活性。在该云雾网络框架下，设计了基于Q-learning的边缘计算卸载策略，以时延与能耗作为卸载性能的评价指标。仿真实验结果表明，与Min-min算法和回溯算法相比，基于Q-learning计算卸载算法的时延与能耗性能更优，且可以在时延与能耗的联合优化之间达成平衡。

关键词: 星地融合中继网络, 多接入边缘计算, 云雾网络, 卸载策略, Q-learning

Abstract:

The integrated satellite-terrestrial relay network (ISTRN) is a necessary part of the next-generation wireless communication system, and has important practical significance for accelerating the construction of my country's air-space-terrestrial integrated network system.In the traditional ISTRN architecture, a large amount of signaling needs to be forwarded to the ground control center for processing, which increases the delay of network control and management.A new cloud fog computing architecture was proposed, which constructs a sub-regional edge fog computing layer between the ground access and the central cloud to improve the flexibility of business flow management and control.Under the cloud network framework, a Q-learning based edge computing offloading strategy was designed, and the offloading performance was evaluated by time delay and energy consumption.Simulation results show that, compared with Min-min algorithm and backtracking algorithm, Q-learning based computational offload algorithm has better performance in terms of time delay and energy consumption, and can achieve a balance between the joint optimization of time delay and energy consumption.

Key words: integrated satellite-terrestrial relay network, multi-access edge computing, cloud fog network, offloading strategy, Q-learning

中图分类号:

TP319

张美楠, 张鸣琪, 丁飞, 庄衡衡, 马海蓉. 星地融合中继网络时延与能耗边缘优化卸载策略[J]. 物联网学报, 2022, 6(3): 124-132.

Meinan ZHANG, Mingqi ZHANG, Fei DING, Hengheng ZHUANG, Hairong MA. Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network[J]. Chinese Journal on Internet of Things, 2022, 6(3): 124-132.

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参数	描述
e	单位能量消耗常数
μ	发射放大器的单位能量消耗常数
n	传播衰减指数
k	数据量大小/bit
d	数据传输距离

参数	数值
系统带宽	20 MHz
信道噪声功率	-104 dBm
单个任务大小	[10,50]GB
雾节点数	5
雾节点空闲状态能耗	[1,10]×10^-10J
雾节点CPU	{100,100,200, 300,150} GHz
CPU周期数/bit	[500,1 500]周期/bit

星地融合中继网络时延与能耗边缘优化卸载策略

Offloading strategy with edge optimization of time delay and energy consumption in integrated satellite-terrestrial relay network

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