动态不确定场景下认知工业物联网的资源分配策略

Resource allocation strategy for cognitive industrial internet of things in dynamic uncertain scenarios

李姣军 ¹喻涛 ¹周继华 ²杨凡 ¹赵涛 ²吴天舒 ³马兹林⁴

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作者信息

1. 重庆理工大学电气与电子工程学院,重庆 400054
2. 航天新通科技有限公司,重庆 400031
3. 重庆中科云从科技有限公司,重庆 401331
4. 重庆标能瑞源储能技术研究院,重庆 401120
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摘要

针对动态不确定场景下认知工业物联网(CIIoT)业务的时延保障难题,提出动态不确定场景下保障业务时延需求的CIIoT资源分配策略.构建基于时延敏感业务的时延模型,推导保障业务时延需求的速率解析解.基于时延模型建立以最大化网络吞吐量为目标的CIIoT资源优化模型,该模型考虑在动态不确定环境下联立基站发射功率约束、设备之间的干扰约束和业务传输时延保障约束.由于该模型存在动态不确定性,导致模型难以求解,采用鲁棒优化理论将不确定参数约束转化为确定性约束问题,提出在动态不确定场景下CIIoT的资源分配策略.仿真结果表明,所提算法在动态不确定环境下有效地保障了业务的时延需求,提高了网络吞吐量.

Abstract

A cognitive industrial internet of things(CIIoT)resource allocation strategy was proposed to address the delay guarantee challenge of CIIoT services in dynamic and uncertain scenarios.A delay model based on CIIoT delay-sensitive services was constructed,and a rate-analytic solution for guaranteeing the delay demand of the services was derived.A CIIoT resource optimization model with the objective of maximizing network throughput was established based on the delay model,which considered the transmit power constraints of the base stations,the interference constraints between devices,and service transmission delay guarantee constraints under dynamic and uncertain environment.It is difficult to solve the model due to the dynamic uncertainty of the model.The robust optimization theory was adopted to transform uncertain parameter constraints into deterministic constraint problems,and a resource allocation strategy for CIIoT in dynamic uncertainty scenarios was proposed.The simulation results show that the proposed algorithm effectively guarantees the delay requirements of services and improves network throughput in dynamic and uncertain environments.

关键词

动态不确定场景/认知工业物联网(CIIoT)/时延保障/资源分配

Key words

dynamic and uncertain scenario/cognitive industrial internet of things(CIIoT)/delay guarantee/resource allocation

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基金项目

重庆市自然科学基金(cstc2021jcyjmsxmX0251)

重庆市自然科学基金创新发展联合基金(CSTB2023NSCQ-LMX0014)

重庆市教委科学技术研究计划(KJQN202301135)

重庆市教委科学技术研究计划(KJQN202201157)

重庆理工大学国家自然科学基金和社会科学基金培育计划(2022PYZ017)

重庆市巴南区科技项目(KY202208153976019)

重庆市青少年创新人才培养雏鹰计划(CY230909)

重庆市青少年创新人才培养雏鹰计划(CY230908)

重庆理工大学研究生教育高质量发展行动计划(gzlcx20233082)

重庆理工大学科研创新团队培育计划(2023TDZ003)

出版年

2024

浙江大学学报(工学版)

浙江大学

浙江大学学报(工学版)

CSTPCD北大核心

影响因子：0.625

ISSN：1008-973X

参考文献量19

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