Channel Access Method Classification For Cognitive Radio Applications

Autor:	Laghate, Mihir, Urriza, Paulo, Cabric, Danijela
Rok vydání:	2017
Předmět:	Computer Science - Networking and Internet Architecture Computer Science - Information Theory
Druh dokumentu:	Working Paper
DOI:	10.1109/LWC.2017.2754367
Popis:	Motivated by improved detection and prediction of temporal holes, we propose a two stage algorithm to classify the channel access method used by a primary network. The first stage extends an existing fourth-order cumulant-based modulation classifier to distinguish between TDMA, OFDMA, and CDMA. The second stage proposes a novel collision detector using the sample variance of the same cumulant to detect contention-based channel access methods. Our proposed method is blind and independent of the received SNR. Simulations show that our classification of TDMA, OFDMA, and CDMA is robust to network load while detection of contention outperforms existing methods. Comment: Accepted to IEEE Wireless Communications Letters
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1709.05460 Zobrazit plný text záznamu View this record from Arxiv