Blockchain-Based MCS Detection Framework of Abnormal Spectrum Usage for Satellite Spectrum Sharing Scenario  

作　　者：Ning Yang Heng Wang Jingming Hu Bangning Zhang Daoxing Guo Yuan Liu 

机构地区：[1]College of Communications Engineering,Army Engineering University,Nanjing 210007,China

出　　处：《China Communications》2024年第2期32-48,共17页中国通信（英文版）

摘　　要：In this paper, the problem of abnormal spectrum usage between satellite spectrum sharing systems is investigated to support multi-satellite spectrum coexistence. Given the cost of monitoring, the mobility of low-orbit satellites, and the directional nature of their signals, traditional monitoring methods are no longer suitable, especially in the case of multiple power level. Mobile crowdsensing(MCS), as a new technology, can make full use of idle resources to complete a variety of perceptual tasks. However, traditional MCS heavily relies on a centralized server and is vulnerable to single point of failure attacks. Therefore, we replace the original centralized server with a blockchain-based distributed service provider to enable its security. Therefore, in this work, we propose a blockchain-based MCS framework, in which we explain in detail how this framework can achieve abnormal frequency behavior monitoring in an inter-satellite spectrum sharing system. Then, under certain false alarm probability, we propose an abnormal spectrum detection algorithm based on mixed hypothesis test to maximize detection probability in single power level and multiple power level scenarios, respectively. Finally, a Bad out of Good(BooG) detector is proposed to ease the computational pressure on the blockchain nodes. Simulation results show the effectiveness of the proposed framework.

关 键 词：blockchain hypothesis test mobile crowdsensing satellite communication spectrum sharing 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TN927.2[自动化与计算机技术—计算机科学与技术]