Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information
Without interfering wireless networks, passive spectrum monitoring is important for network diagnosis and radio frequency management in spectrum-sharing wireless networks. Most of the related works focused on the sniffer-channel assignment problem, i.e., assigning each wireless sniffer a proper oper...
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doaj-21ef845eb72741b3992560a07587f3a12021-03-29T20:37:11ZengIEEEIEEE Access2169-35362018-01-016346963470610.1109/ACCESS.2018.28497268393445Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic InformationWenbo Xu0https://orcid.org/0000-0001-6421-9843Jing Xu1https://orcid.org/0000-0003-4443-1980Jiachen Li2Wei Liu3Shimin Gong4https://orcid.org/0000-0003-4874-8766Kai Zeng5School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaSchool of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, ChinaChinese Academy of Science, Shenzhen Institutes of Advanced Technology, Shenzhen, ChinaDepartment of Electrical and Computer Engineering, George Mason University, Fairfax, VA, USAWithout interfering wireless networks, passive spectrum monitoring is important for network diagnosis and radio frequency management in spectrum-sharing wireless networks. Most of the related works focused on the sniffer-channel assignment problem, i.e., assigning each wireless sniffer a proper operating channel, with the aim of tracking the target signals or data packets. These approaches were usually designed for the scenarios, where the behaviors of malicious or suspect wireless users are known. In this paper, we focus on the problem of spectrum patrolling in a cognitive radio network, in which the sniffers have no specific targets, but try to patrol the spectrum of interest over a temporal-spatial region. Once the periodicity or regularity of the wireless traffics is identified, a patrol path will be developed for routine patrolling. The path planning problem is formulated as a robust reward maximization problem with uncertain channel information. We propose both optimal and sub-optimal algorithms to determine the route of spectrum patrolling and validate it through numerical simulations. Simulation results show that our proposed algorithm can achieve the maximal reward even with unknown information of the users' activities.https://ieeexplore.ieee.org/document/8393445/Spectrum patrollingpassive monitoringchannel uncertaintyrobust optimization |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Wenbo Xu Jing Xu Jiachen Li Wei Liu Shimin Gong Kai Zeng |
spellingShingle |
Wenbo Xu Jing Xu Jiachen Li Wei Liu Shimin Gong Kai Zeng Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information IEEE Access Spectrum patrolling passive monitoring channel uncertainty robust optimization |
author_facet |
Wenbo Xu Jing Xu Jiachen Li Wei Liu Shimin Gong Kai Zeng |
author_sort |
Wenbo Xu |
title |
Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information |
title_short |
Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information |
title_full |
Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information |
title_fullStr |
Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information |
title_full_unstemmed |
Robust Spectrum Monitoring in Cognitive Radio Networks With Uncertain Traffic Information |
title_sort |
robust spectrum monitoring in cognitive radio networks with uncertain traffic information |
publisher |
IEEE |
series |
IEEE Access |
issn |
2169-3536 |
publishDate |
2018-01-01 |
description |
Without interfering wireless networks, passive spectrum monitoring is important for network diagnosis and radio frequency management in spectrum-sharing wireless networks. Most of the related works focused on the sniffer-channel assignment problem, i.e., assigning each wireless sniffer a proper operating channel, with the aim of tracking the target signals or data packets. These approaches were usually designed for the scenarios, where the behaviors of malicious or suspect wireless users are known. In this paper, we focus on the problem of spectrum patrolling in a cognitive radio network, in which the sniffers have no specific targets, but try to patrol the spectrum of interest over a temporal-spatial region. Once the periodicity or regularity of the wireless traffics is identified, a patrol path will be developed for routine patrolling. The path planning problem is formulated as a robust reward maximization problem with uncertain channel information. We propose both optimal and sub-optimal algorithms to determine the route of spectrum patrolling and validate it through numerical simulations. Simulation results show that our proposed algorithm can achieve the maximal reward even with unknown information of the users' activities. |
topic |
Spectrum patrolling passive monitoring channel uncertainty robust optimization |
url |
https://ieeexplore.ieee.org/document/8393445/ |
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1724194483491307520 |