1.南京邮电大学通信与信息工程学院,江苏 南京 210003
2.南京邮电大学应用技术学院,江苏 南京 210042
3.新疆红山能源矿业有限公司,新疆 塔城 834400
[ "王海涛(1980-),男,博士,南京邮电大学副研究员,主要研究方向为物联网先进传输方案、卫星通信新体制、频谱共享技术等。" ]
[ "张海杰(2003-),男,学士在读,南京邮电大学应用技术学院本科生,主要研究方向为AI与物联网融合、低功耗嵌入式系统设计等。" ]
[ "蒋世杰(1974-),男,硕士,新疆红山能源矿业有限公司总经理,高级工程师,主要研究方向为智慧矿山建设、先进信息系统管理、综采工作面分析控制等。" ]
张更新(1967-),男,博士,南京邮电大学教授、博士生导师,主要研究方向为卫星物联网、深空通信、空间信息网络等。
收稿:2025-11-30,
修回:2026-02-22,
录用:2026-02-25,
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王海涛, 张海杰, 蒋世杰, 等. 面向智慧矿山物联网的机会性通信频谱共享赋能研究[J/OL]. 物联网学报, 2026.
WANG Haitao, ZHANG Haijie, JIANG Shijie, et al. Research on spectrum-sharing enabler with opportunistic communication for internet of things in smart mine[J/OL]. Chinese Journal on Internet of Things, 2026.
针对智慧矿山工业物联网中海量异构频谱需求和复杂信道条件影响,提出基于服务优先级化、通信量建模和普遍协作传输的机会性通信频谱共享方案,分析相应的系统架构和关键技术。首先,根据频谱需求的不同属性,对物联网服务进行分类,进而设计服务优先级化的动态频谱调度方法。其次,利用连续时间马尔科夫链,构建异构通信量的信息物理系统模型,推导最优频谱接入概率并且指导频谱分配。最后,根据不充分可用的信道状态信息,设计部分机会性的中继选择准则,构建基于增量型解码转发协议的普遍协作机制,最小化主要信号传输的中断概率,同时以覆盖方式为次要网络提供频谱共享的机会。数值仿真结果表明,通信量建模辅助的服务优先级化频谱调度方法具有低时延、高完成率和公平性,可以实现各类物联网服务的机会性频谱共享;所研究的基于部分机会性中继选择的普遍协作传输机制可以在强化主要信号传输服务质量的同时促进次要网络的频谱共享。
To address the impact of massive heterogeneous spectrum demands and complex channel conditions in industrial Internet of Things(IoT) of smart mine
a spectrum-sharing scheme with opportunistic communication based on service prioritization
traffic modeling and generalized cooperative transmission was proposed
and its system architecture and key technologies were analyzed in this paper. Firstly
IoT services were classified according to diverse attributes of their spectrum demands
and then a service-prioritized spectrum-scheduling approach was designed. Secondly
a cyber-physical system model of heterogeneous IoT traffic was built with continuous-time Markov chain
and optimal spectrum access probabilities were derived to guide spectrum allocation. Finally
according to imperfect channel state information
a partially opportunistic relay-selection criterion was designed and a mechanism of generalized cooperative transmission based on incremental decode-and-forward protocol was constructed in order to minimize outage probability of primary signal transmission and to provide overlay-based spectrum-sharing chances for secondary networks. Numerical results show that the proposed traffic-model-assisted spectrum-scheduling approach has the properties of low latency
high completion rate and fairness
and that opportunistic spectrum sharing is achieved among all kinds of IoT services. What’s more
the proposed mechanism of generalized cooperative transmission based on partially opportunistic relay selection improves quality of service of primary signal transmission while facilitating spectrum sharing of secondary networks.
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