Energy Detection Technique for Adaptive Spectrum Sensing

被引:96
作者
Sobron, Iker [1 ]
Diniz, Paulo S. R. [2 ,3 ]
Martins, Wallace A. [2 ,3 ]
Velez, Manuel [1 ]
机构
[1] Univ Basque Country UPV EHU, Fac Engn, Dept Commun Engn, Bilbao 48013, Spain
[2] Univ Fed Rio de Janeiro, Programa Elect Engn, BR-21941972 Rio De Janeiro, RJ, Brazil
[3] Univ Fed Rio de Janeiro, Dept Elect & Comp Engn, COPPE Poli, BR-21941972 Rio De Janeiro, RJ, Brazil
关键词
Cognitive radio; cooperative spectrum sensing; energy detection; adaptive signal processing; deflection coefficient; COGNITIVE RADIO; SIGNALS;
D O I
10.1109/TCOMM.2015.2394436
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The increasing scarcity in the available spectrum for wireless communication is one of the current bottlenecks impairing further deployment of services and coverage. The proper exploitation of white spaces in the radio spectrum requires fast, robust, and accurate methods for their detection. This paper proposes a new strategy to detect adaptively white spaces in the radio spectrum. Such strategy works in cognitive radio (CR) networks whose nodes perform spectrum sensing based on energy detection in a cooperative way or not. The main novelty of the proposal is the use of a cost-function that depends upon a single parameter which, by itself, contains the aggregate information about the presence or absence of primary users. The detection of white spaces based on this parameter is able to improve significantly the deflection coefficient associated with the detector, as compared to other state-of-the-art algorithms. In fact, simulation results show that the proposed algorithm outperforms by far other competing algorithms. For example, our proposal can yield a probability of missdetection 20 times smaller than that of an optimal soft-combiner solution in a cooperative setup with a predefined probability of false alarm of 0.1.
引用
收藏
页码:617 / 627
页数:11
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