星地融合中继网络时延与能耗边缘优化卸载策略

张美楠; 张鸣琪; 丁飞; 庄衡衡; 马海蓉

doi:10.11959/j.issn.2096-3750.2022.00289

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星地融合中继网络时延与能耗边缘优化卸载策略

理论与技术 | 更新时间：2024-06-05

- 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
- 物联网学报 2022年6卷第3期页码：124-132
- 作者机构：
  
  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
- 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" ]
- 基金信息：
  
  国家自然科学基金资助项目;The National Natural Science Foundation of China(61871446);国家自然科学基金资助项目;The National Natural Science Foundation of China(61872423);江苏省重点研发计划;The Key Research and Development Program of Jiangsu Province(BE2020084-1);江苏省“六大人才高峰”资助项目;The “Six Talent Peaks”Research Foundation of Jiangsu Province(DZXX-008);南京邮电大学科研基金资助项目;The NUPTSF(NY220028)
- DOI：10.11959/j.issn.2096-3750.2022.00289
  中图分类号： TP319
- 纸质出版日期：2022-09-30，
  
  网络出版日期：2022-09，
- 稿件说明：
移动端阅览
张美楠, 张鸣琪, 丁飞, 等. 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, et al. 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.
张美楠, 张鸣琪, 丁飞, 等. 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. DOI： 10.11959/j.issn.2096-3750.2022.00289.

MEINAN ZHANG, MINGQI ZHANG, FEI DING, et al. 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. DOI： 10.11959/j.issn.2096-3750.2022.00289.

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。

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.

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

Keywords

integrated satellite-terrestrial relay networkmulti-access edge computingcloud fog networkoffloading strategyQ-learning

references

GUO K F, AN K, ZHOU F ,et al. On the secrecy performance of NOMA-based integrated satellite multiple-terrestrial relay networks with hardware impairments[J]. IEEE Transactions on Vehicular Technology, 2021,70(4): 3661-3676.

尤肖虎, 尹浩, 邬贺铨 . 6G 与广域物联网[J]. 物联网学报, 2020,4(1): 3-11.

YOU X H, YIN H, WU H Q . On 6G and wide-area IoT[J]. Chinese Journal on Internet of Things, 2020,4(1): 3-11.

3GPP. Study on LTE-based V2X services,Release 14 V14.0.0,TR 36.885[S].2016-06,[2022-05-10].

3GPP. TSG SA priorities[R]. 2022.

杨岭才 . 关于快速形成我国天地一体通信运营能力的思考[J]. 电信科学, 2022,38(4): 1-10.

YANG L C . Thoughts on the rapid formation of China's space-ground integrated communication operation capability[J]. Telecommunications Science, 2022,38(4): 1-10.

QIU T, ZHAO Z, ZHANG T ,et al. Underwater internet of things in smart ocean,system architecture and open issues[J]. IEEE Transactions on Industrial Informatics, 2020,16(7): 4297-4307.

QIAO W X, LU H, LU Y ,et al. A dynamic service reconfiguration method for satellite-terrestrial integrated networks[J]. Future Internet, 2021,13(10): 260.

AN K, LI Y S, YAN X J ,et al. On the performance of cache-enabled hybrid satellite-terrestrial relay networks[J]. IEEE Wireless Communications Letters, 2019,8(5): 1506-1509.

EVANS B, WERNER M, LUTZ E ,et al. Integration of satellite and terrestrial systems in future multimedia communications[J]. IEEE Wireless Communications, 2005,12(5): 72-80.

ZHU X M, JIANG C X,FENGW, et al . Resource allocation in spectrum-sharing cloud based integrated terrestrial-satellite network[C]// Proceedings of 2017 13th International Wireless Communications and Mobile Computing Conference (IWCMC). Piscataway,IEEE Press, 2017: 334-339.

GUIDOTTI A, VANELLI-CORALLI A, CONTI M ,et al. Architectures and key technical challenges for 5G systems incorporating satellites[J]. IEEE Transactions on Vehicular Technology, 2019,68(3): 2624-2639.

ZHANG X, JIA M, Gu X ,et al. Intelligent spectrum management based on radio map for cloud-based satellite and terrestrial spectrum shared networks[EB]. 2021.

HOSSEINIAN M, CHOI J P, CHANG S H ,et al. Review of 5G NTN standards development and technical challenges for satellite integration with the 5G network[J]. IEEE Aerospace and Electronic Systems Magazine, 2021,36(8): 22-31.

ALI O, ISHAK M K, BHATTI M K L ,et al. A comprehensive review of internet of things,technology stack,middle wares,and fog/edge computing interface[J]. Sensors (Basel,Switzerland), 2022,22(3): 995.

ZHANG Z J, ZHANG W Y, TSENG F H . Satellite mobile edge computing,improving QoS of high-speed satellite-terrestrial networks using edge computing techniques[J]. IEEE Network, 2019,33(1): 70-76.

XIE R C, TANG QQ, WANG Q N ,et al. Satellite-terrestrial integrated edge computing networks,architecture,challenges,and open issues[J]. IEEE Network, 2020,34(3): 224-231.

JI Z, CAO S Z, WU S ,et al. Delay-aware satellite-terrestrial backhauling for heterogeneous small cell networks[J]. IEEE Access, 8: 112190-112202.

DENG R Q, DI B Y, CHEN S Z ,et al. Ultra-dense LEO satellite offloading for terrestrial networks,how much to pay the satellite operator?[J]. IEEE Transactions on Wireless Communications, 2020,19(10): 6240-6254.

PANG B, GU SS, ZHANG Q Y ,et al. CCOS,a coded computation offloading strategy for satellite-terrestrial integrated networks[C]// Proceedings of 2021 International Wireless Communications and Mobile Computing (IWCMC). Piscataway,IEEE Press, 2021: 242-247.

CHEN T J, LIU J, YE Q ,et al. Learning-based computation offloading for IoRT through ka/Q-band satellite-terrestrial integrated networks[EB]. 2021.

ZHANG X Y, ZHANG H Y, DAI S D ,et al. An incentive mechanism for computation offloading in satellite-terrestrial Internet of vehicles[J]. Wireless Communications and Mobile Computing,, 2022,1514437.

CAO S Z, ZHAO Y, WEI J Y ,et al. Space-based cloud-fog computing architecture and its applications[C]// Proceedings of 2019 IEEE World Congress on Services. Piscataway,IEEE Press, 2019: 166-171.

任智源, 侯向往, 郭凯 ,等. 分布式卫星云雾网络及时延与能耗策略[J]. 浙江大学学报(工学版), 2018,52(8): 1474-1481.

REN Z Y, HOU X W, GUO K ,et al. Distributed satellite cloud-fog network and strategy of latency and power consumption[J]. Journal of Zhejiang University (Engineering Science), 2018,52(8): 1474-1481.

ZHANG G W, SHEN F, LIU Z N ,et al. FEMTO,fair and energy-minimized task offloading for fog-enabled IoT networks[J]. IEEE Internet of Things Journal, 2019,6(3): 4388-4400.

李振江, 张幸林 . 减少核心网拥塞的边缘计算资源分配和卸载决策[J]. 计算机科学, 2021,48(3): 281-288.

LI Z J, ZHANG X L . Resource allocation and offloading decision of edge computing for reducing core network congestion[J]. Computer Science, 2021,48(3): 281-288.

LIANG Y, CUI T X, CAO Y ,et al. An effective resource scheduling model for edge cloud oriented AIoT[J]. Concurrency and Computation:Practice and Experience, 2022,34(5): e6720.

苏新, 薛淏阳, 周一青 ,等. 面向海洋观监测传感网的计算卸载方法研究[J]. 通信学报, 2021,42(5): 149-163.

SU X, XUE H Y, ZHOU Y Q ,et al. Research on computing offloading method for oceanview monitoring sensor network[J]. Journal on Communications, 2021,42(5): 149-163.

卢海峰, 顾春华, 罗飞 ,等. 基于深度强化学习的移动边缘计算任务卸载研究[J]. 计算机研究与发展, 2020,57(7): 1539-1554.

LU H F, GU C H, LUO F ,et al. Research on task offloading based on deep reinforcement learning in mobile edge computing[J]. Journal of Computer Research and Development, 2020,57(7): 1539-1554.

HEINZELMAN W R, CHANDRAKASAN A, BALAKRISHNAN H . Energy-efficient communication protocol for wireless micro sensor networks[C]// Proceedings of the 33rd Annual Hawaii International Conference on System Sciences. Piscataway,IEEE Press, 2000:10pp.vol.2.

LYU X C, TIAN H, SENGUL C ,et al. Multiuser joint task offloading and resource optimization in proximate clouds[J]. IEEE Transactions on Vehicular Technology, 2017,66(4): 3435-3447.

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