2014/09/10 by Tadilo Endeshaw Bogale, Bogale, Tadilo Endeshaw, Luc Vandendorpe +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Applications (stat.AP) #Cognitive Radio Networks and Spectrum Sensing #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1409.3246
openalex publication_date 2014/09/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
This paper considers wide-band spectrum sensing and optimization for\ncognitive radio (CR) networks with noise variance uncertainty. It is assumed\nthat the considered wide-band contains one or more white sub-bands. Under this\nassumption, we consider throughput maximization of the CR network while\nappropriately protecting the primary network. We address this problem as\nfollows. First, we propose novel ratio based test statistics for detecting the\nedges of each sub-band. Second, we employ simple energy comparison approach to\nchoose one reference white sub-band. Third, we propose novel generalized energy\ndetector (GED) for examining each of the remaining sub-bands by exploiting the\nnoise information of the reference white sub-band. Finally, we optimize the\nsensing time (To) to maximize the CR network throughput using the detection\nand false alarm probabilities of the GED. The proposed GED does not suffer from\nsignal to noise ratio (SNR) wall and outperforms the existing signal detectors.\nMoreover, the relationship between the proposed GED and conventional energy\ndetector (CED) is quantified analytically. We show that the optimal To\ndepends on the noise variance information. In particular, with 10TV bands,\nSNR=-20dB and 2s frame duration, we found that the optimal To is\n28.5ms (50.6ms) with perfect (imperfect) noise variance scenario.\n