| 摘要: |
| 实现频谱共享,需要以实时准确地掌握主用户的频谱占用情况以及频谱交易信息为前提。为此，在利用群智感知以及区块链的前提下,提出了三层式的基于区块链的认知无线电系统,即物理层、传输层以及应用层。其中区块链网络位于传输层,用以记录交易信息,并利用区块链的去中心化以及去信任化特性以保证交易的安全性与可靠性。特别地,为了激励系统中Crowd Sensor积极地参与频谱感知,提出了基于信誉值拍卖的感知收益分配算法。Crowd Sensor依据自身的信誉值对任务进行报价,报价高者可执行任务,且获得较高的收益。仿真结果表明,所提算法保障了感知收益分配的公平性。因此，激励更多的Crowd Sensor参与感知任务可以提升频谱感知的稳定性与安全性。 |
| 关键词: 认知无线电 动态频谱接入 区块链 群智感知 频谱共享 |
| DOI： |
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| 基金项目:国家自然科学基金资助项目(61471395) |
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| An Allocation Mechanism of Sensing Revenue under Blockchain Based on Reputation Value Auction |
| LYU Pei,ZHAO Hangsheng,ZHANG Jianzhao |
| (1.The Sixty-third Research Institute,National University of Defense Technology,Nanjing 210007,China;2.School of Telecommunication and Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China) |
| Abstract: |
| To achieve spectrum sharing,it is necessary to have a real-time and accurate understanding of the spectrum occupancy of the primary user and the spectrum transaction information.A three-layer blockchain based cognitive radio system is proposed to solve them,which is composed of physical layer,transmission layer and application layer,on the premise of crowd sensing and blockchain.The blockchain network is located in the transport layer to record transaction information.The de-centralization and de-trust characteristics of the blockchain are utilized to ensure the security and reliability of transactions.In particular,in order to motivate Crowd Sensors to actively participate in spectrum sensing in the system,a sensing revenue allocation algorithm based on reputation auction is proposed.Crowd Sensor quotes a task based on its own reputation value,and the higher bidder can execute the task and get a higher return.The simulation results show that the algorithm guarantees the fairness of the allocation of sensing revenue and can motivate more Crowd Sensors to participate in the sensing tasks to improve the stability and security of spectrum sensing. |
| Key words: cognitive radio dynamic spectrum access blockchain crowd sensing spectrum sharing |
《电讯技术》编辑部 