Spectrum Sensing under Spectrum Misuse Behaviors: A Multi-Hypothesis Test Perspective
Linyuan Zhang, Guoru Ding, Qihui Wu, and Zhu Han

TL;DR
This paper addresses the challenge of detecting spectrum misuse behaviors by formulating a multi-hypothesis testing framework, proposing novel detection criteria, and designing cooperative sensing schemes to improve detection accuracy in uncertain environments.
Contribution
It introduces a generalized multi-hypothesis N-P criterion for spectrum sensing, along with new test rules and a cooperative scheme, advancing detection methods under complex misuse scenarios.
Findings
Proposed test rules outperform traditional methods in simulations.
The cooperative sensing scheme enhances detection performance.
Asymptotic analysis provides bounds on test performance.
Abstract
Spectrum misuse behaviors, brought either by illegitimate access or by rogue power emission, endanger the legitimate communication and deteriorate the spectrum usage environment. In this paper, our aim is to detect whether the spectrum band is occupied, and if it is occupied, recognize whether the misuse behavior exists. One vital challenge is that the legitimate spectrum exploitation and misuse behaviors coexist and the illegitimate user may act in an intermittent and fast-changing manner, which brings about much uncertainty for spectrum sensing. To tackle it, we firstly formulate the spectrum sensing problems under illegitimate access and rogue power emission as a uniform ternary hypothesis test. Then, we develop a novel test criterion, named the generalized multi-hypothesis N-P criterion. Following the criterion, we derive two test rules based on the generalized likelihood ratio test…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Distributed Sensor Networks and Detection Algorithms · Wireless Communication Security Techniques
