面向非可信节点的联合频谱感知与资源分配机制设计

黄柳碧; 王威; 曹平; 刘怡良

doi:10.11959/j.issn.2096-3750.2026.00508

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面向非可信节点的联合频谱感知与资源分配机制设计

理论与技术 | 更新时间：2026-04-16

- 面向非可信节点的联合频谱感知与资源分配机制设计
- Joint spectrum sensing and resource allocation mechanism with untrusted sensing nodes
- 物联网学报 2026年10卷第1期页码：139-149
- 作者机构：
  
  1.南京航空航天大学电子信息工程学院，江苏南京 211106
  2.西安交通大学信息与通信工程学院，陕西西安 710049
  3.西安交通大学网络空间安全学院，陕西西安 710049
- 作者简介：
  
  [ "黄柳碧（2002‒ ），女，南京航空航天大学电子信息工程学院硕士生，主要研究方向为动态频谱共享机制、可信频谱感知。" ]
  [ "王威（1990‒ ），男，博士，西安交通大学信息与通信工程学院教授，主要研究方向为无线通信、空天地一体化网络、网络与电磁安全。" ]
  [ "曹平（1990‒ ），男，南京航空航天大学电子信息工程学院博士生，主要研究方向为区块链、频谱安全。" ]
  [ "刘怡良（1990‒ ），男，博士，西安交通大学网络空间安全学院副教授，主要研究方向为物理层安全、无线通信。" ]
- 基金信息：
  
  国家自然科学基金项目(62371231;62471382;U22A2029);江苏省前沿引领技术基础研究重大项目(BK20222001);江苏省重点研发计划（产业前瞻与关键核心技术）竞争项目(BE2023027)
- DOI：10.11959/j.issn.2096-3750.2026.00508
  中图分类号： TN92
- 收稿：2025-04-08，
  
  修回：2025-07-16，
  
  录用：2025-07-18，
  
  纸质出版：2026-03-30
- 稿件说明：
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黄柳碧,王威,曹平等.面向非可信节点的联合频谱感知与资源分配机制设计[J].物联网学报,2026,10(01):139-149.

Huang Liubi,Wang Wei,Cao Ping,et al.Joint spectrum sensing and resource allocation mechanism with untrusted sensing nodes[J].Chinese Journal on Internet of Things,2026,10(01):139-149.
黄柳碧,王威,曹平等.面向非可信节点的联合频谱感知与资源分配机制设计[J].物联网学报,2026,10(01):139-149. DOI： 10.11959/j.issn.2096-3750.2026.00508.

Huang Liubi,Wang Wei,Cao Ping,et al.Joint spectrum sensing and resource allocation mechanism with untrusted sensing nodes[J].Chinese Journal on Internet of Things,2026,10(01):139-149. DOI： 10.11959/j.issn.2096-3750.2026.00508.

摘要

针对现有频谱共享系统面临的感知数据伪造、篡改导致的感知结果不可信、基于感知结果的频谱接入分配不公平等问题，提出了一种基于感知质量的频谱共享模型，旨在通过联合优化感知质量和接入资源分配来提高频谱共享的效率和公平性。在感知阶段，通过主从博弈建模感知用户与需求者之间的交互关系，感知用户优化感知质量以最大化自身收益，需求者根据感知质量决定数据购买量，从而实现高效、可靠的感知数据收集。在接入阶段，基于感知质量动态地分配频谱资源，同时结合VCG（Vickrey-Clarke-Groves）机制确保用户真实上报感知质量，防止数据虚报与欺诈行为，最终实现公平、合理的频谱分配与资源优化，提升系统整体效率。仿真结果表明，所提机制能够有效地激励用户提供真实感知质量，并对诚实用户起到保护作用。

Abstract

To address the issues in spectrum sharing systems

such as unreliable sensing results because of the data falsification and unfair access allocation

a spectrum sharing model based on the sensing quality was proposed. By jointly optimizing sensing quality and access resource allocation

this model improved efficiency and fairness. In the sensing phase

a leader-follower game modeled the interaction between sensing users and demanders: the sensing users optimized sensing quality to maximize their benefits

while the demanders determined data purchases based on sensing quality

ensuring efficient and reliable data collection. In the access phase

spectrum resources were dynamically allocated based on the sensing quality

with the VCG (Vickrey-Clarke-Groves) mechanism ensuring truthful reporting and preventing data falsification and fraud. This led to fair and optimized spectrum allocation

enhancing the overall system efficiency. Simulation results show that the proposed mechanism effectively incentivizes users to report the true sensing quality and protects the honest users.

关键词

Keywords

references

栾宁 , 熊轲 , 张煜 , 等 . 6G: 典型应用、关键技术与面临挑战 [J ] . 物联网学报 , 2022 , 6 ( 1 ): 29 - 43 .

Luan N , Xiong K , Zhang Y , et al . 6G: typical applications, key technologies and challenges [J ] . Chinese Journal on Internet of Things , 2022 , 6 ( 1 ): 29 - 43 .

Na M , Lee J , Choi G , et al . Operator’s perspective on 6G: 6G services, vision, and spectrum [J ] . IEEE Communications Magazine , 2024 , 62 ( 8 ): 178 - 184 .

张海君 , 陈安琪 , 李亚博 , 等 . 6G移动网络关键技术 [J ] . 通信学报 , 2022 , 43 ( 7 ): 189 - 202 .

Zhang H J , Chen A Q , Li Y B , et al . Key technologies of 6G mobile network [J ] . Journal on Communications , 2022 , 43 ( 7 ): 189 - 202 .

Gür G . Expansive networks: exploiting spectrum sharing for capacity boost and 6G vision [J ] . Journal of Communications and Networks , 2020 , 22 ( 6 ): 444 - 454 .

Matinmikko-Blue M , Yrjola S , Ahokangas P . Spectrum management in the 6G era: the role of regulation and spectrum sharing [C ] // Proceedings of the 2020 2nd 6G Wireless Summit (6G SUMMIT) . Piscataway : IEEE Press , 2020 : 1 - 5 .

Yang P H , Kong L H , Chen G H . Spectrum sharing for 5G/6G URLLC: research frontiers and standards [J ] . IEEE Communications Standards Magazine , 2021 , 5 ( 2 ): 120 - 125 .

Wu Q H , Wang W , Li Z G , et al . SpectrumChain: a disruptive dynamic spectrum-sharing framework for 6G [J ] . Science China Information Sciences , 2023 , 66 ( 3 ): 130302 .

Cuellar D , Sallal M , Williams C . BSM-6G: blockchain-based dynamic spectrum management for 6G networks: addressing interoperability and scalability [J ] . IEEE Access , 2024 , 12 : 59643 - 59664 .

Polese M , Cantos-Roman X , Singh A , et al . Coexistence and spectrum sharing above 100 GHz [J ] . Proceedings of the IEEE , 2023 , 111 ( 8 ): 928 - 954 .

Hu S S , Liang Y C , Xiong Z H , et al . Blockchain and artificial intelligence for dynamic resource sharing in 6G and beyond [J ] . IEEE Wireless Communications , 2021 , 28 ( 4 ): 145 - 151 .

Cai P X , Zhang Y . Intelligent cognitive spectrum collaboration: convergence of spectrum sensing, spectrum access, and coding technology [J ] . Intelligent and Converged Networks , 2020 , 1 ( 1 ): 79 - 98 .

Sun Z Q , Liang W , Qi F , et al . Blockchain-based dynamic spectrum sharing for 6G UIoT networks [J ] . IEEE Network , 2021 , 35 ( 5 ): 143 - 149 .

Zheng S , Han T , Jiang Y N , et al . Smart contract-based spectrum sharing transactions for multi-operators wireless communication networks [J ] . IEEE Access , 2020 , 8 : 88547 - 88557 .

Femenias G , Francisca Hinarejos M , Riera-Palou F , et al . Dynamic spectrum sharing in a blockchain enabled network with multiple cell-free massive MIMO virtual operators [J ] . IEEE Access , 2024 , 12 : 70615 - 70633 .

Wu J , Gao S X , Teng X Y , et al . Beta distribution function-based cooperative spectrum sensing against Byzantine attack in cognitive wireless sensor networks [J ] . IEEE Sensors Letters , 2024 , 8 ( 5 ): 7500404 .

Golvaei M , Fakharzadeh M . A fast soft decision algorithm for cooperative spectrum sensing [J ] . IEEE Transactions on Circuits and Systems II: Express Briefs , 2021 , 68 ( 1 ): 241 - 245 .

Ye J W , Kang X , Liang Y C , et al . A trust-centric privacy-preserving blockchain for dynamic spectrum management in IoT networks [J ] . IEEE Internet of Things Journal , 2022 , 9 ( 15 ): 13263 - 13278 .

Li X H , Zhang Y L , Ding H C , et al . Intelligent spectrum sensing and access with partial observation based on hierarchical multi-agent deep reinforcement learning [J ] . IEEE Transactions on Wireless Communications , 2024 , 23 ( 4 ): 3131 - 3145 .

Shao X , Wang W . Truthful double auction for multiple secondary operator spectrum sharing with flexible bidding [J ] . IEEE Internet of Things Journal , 2025 , 12 ( 15 ): 31813 - 31823 .

郭彩丽 , 陈九九 , 宣一荻 , 等 . 动态时空数据驱动的认知车联网频谱感知与共享技术研究 [J ] . 物联网学报 , 2020 , 4 ( 3 ): 96 - 105 .

Guo C L , Chen J J , Xuan Y D , et al . Research on the spectrum sensing and sharing technology in the dynamic spatiotemporal data driven cognitive Internet of vehicles [J ] . Chinese Journal on Internet of Things , 2020 , 4 ( 3 ): 96 - 105 .

Bhowmik M , Malathi P . Load balancing using game theory in cognitive radio network [C ] // Proceedings of the 2016 International Conference on Computing, Communication and Automation (ICCCA) . Piscataway : IEEE Press , 2017 : 582 - 587 .

Chen J X , Wu Q H , Xu Y H , et al . Joint task assignment and spectrum allocation in heterogeneous UAV communication networks: a coalition formation game-theoretic approach [J ] . IEEE Transactions on Wireless Communications , 2021 , 20 ( 1 ): 440 - 452 .

Netalkar P , Zahabee A , Caicedo Bastidas C E , et al . Large-scale dynamic spectrum access with IEEE 1900.5.2 spectrum consumption models [C ] // Proceedings of the 2023 IEEE Wireless Communications and Networking Conference (WCNC) . Piscataway : IEEE Press , 2023 : 1 - 6 .

Revathy J , Senthil M . Resource allocation in next generation networks using game theory [C ] // Proceedings of the International Conference on Information Communication and Embedded Systems (ICICES2014) . Piscataway : IEEE Press , 2015 : 1 - 4 .

孙志国 , 王钊 , 陈增茂 , 等 . 基于双重信誉值与多角度权值的抗SSDF攻击协作频谱感知方法 [J ] . 通信学报 , 2023 , 44 ( 12 ): 134 - 145 .

Sun Z G , Wang Z , Chen Z M , et al . Double reputation and multi-angle weight-based cooperative spectrum sensing method against SSDF attacks [J ] . Journal on Communications , 2023 , 44 ( 12 ): 134 - 145 .

Ting H L J , Kang X , Li T Y , et al . On the trust and trust modeling for the future fully-connected digital world: a comprehensive study [J ] . IEEE Access , 2021 , 9 : 106743 - 106783 .

Xu Z Y , Sun Z G , Guo L L . Throughput maximization of collaborative spectrum sensing under SSDF attacks [J ] . IEEE Transactions on Vehicular Technology , 2021 , 70 ( 8 ): 8378 - 8383 .

Yao D G , Yuan S G , Lv Z B , et al . An enhanced cooperative spectrum sensing scheme against SSDF attack based on dempster-shafer evidence theory for cognitive wireless sensor networks [J ] . IEEE Access , 2020 , 8 : 175881 - 175890 .

Fu Y H , He Z M . Energy-efficient joint spectrum sensing and power allocation in cognitive IoT under SSDF attack [J ] . IEEE Internet of Things Journal , 2025 , 12 ( 1 ): 186 - 197 .

Wang Y , Jiang F L , Xu Y H , et al . Blockchain-based spectrum sharing for FANET cooperative communication [J ] . IEEE Communications Letters , 2023 , 27 ( 10 ): 2707 - 2711 .

Gu B , Yang X X , Lin Z Q , et al . Multiagent actor-critic network-based incentive mechanism for mobile crowdsensing in industrial systems [J ] . IEEE Transactions on Industrial Informatics , 2021 , 17 ( 9 ): 6182 - 6191 .

Zhao C , Yang S S , McCann J A . On the data quality in privacy-preserving mobile crowdsensing systems with untruthful reporting [J ] . IEEE Transactions on Mobile Computing , 2021 , 20 ( 2 ): 647 - 661 .

Liu S Z , Zheng Z Z , Wu F , et al . Context-aware data quality estimation in mobile crowdsensing [C ] // Proceedings of the IEEE INFOCOM 2017 - IEEE Conference on Computer Communications . Piscataway : IEEE Press , 2017 : 1 - 9 .

Han K , Huang H , Luo J . Quality-aware pricing for mobile crowdsensing [J ] . IEEE/ACM Transactions on Networking , 2018 , 26 ( 4 ): 1728 - 1741 .

牛阳阳 , 尉志青 , 冯志勇 . 基于博弈论的空时频谱共享: 动态接入与惩罚策略 [J ] . 通信学报 , 2023 , 44 ( 12 ): 28 - 38 .

Niu Y Y , Yu Z Q , Feng Z Y . Space-time spectrum sharing based on game theory: dynamic access and penalty strategy [J ] . Journal on Communications , 2023 , 44 ( 12 ): 28 - 38 .

丁晓进 , 徐叶辉 , 包文 , 等 . 融合Stackelberg博弈和联邦学习的多星协作频谱认知方法研究 [J ] . 通信学报 , 2024 , 45 ( 2 ): 90 - 105 .

Ding X J , Xu Y H , Bao W , et al . Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning [J ] . Journal on Communications , 2024 , 45 ( 2 ): 90 - 105 .

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