Li, X. and Cadeau, W (2011) Anti-Jamming Performance of Cognitive Radio Networks. Proceedings of the 45th Annual Conf. on Information Sciences and Systems (CISS), Johns Hopkins Univ., Baltimore.

has been cited by the following article:

• TITLE: Markov Model Based Jamming and Anti-Jamming Performance Analysis for Cognitive Radio Networks

  AUTHORS: Wednel Cadeau, Xiaohua Li, Chengyu Xiong

  KEYWORDS: Cognitive Radio, Dynamic Spectrum Access, Jamming, Markov Model, Throughput

  JOURNAL NAME: Communications and Network, Vol.6 No.2, May 8, 2014

  ABSTRACT: In this paper, we conduct a cross-layer analysis of both the jamming capability of the cognitiveradio-based jammers and the anti-jamming capability of the cognitive radio networks (CRN). We use a Markov chain to model the CRN operations in spectrum sensing, channel access and channel switching under jamming. With various jamming models, the jamming probabilities and the throughputs of the CRN are obtained in closed-form expressions. Furthermore, the models and expressions are simplified to determine the minimum and the maximum CRN throughput expressions under jamming, and to optimize important anti-jamming parameters. The results are helpful for the optimal anti-jamming CRN design. The model and the analysis results are verified by simulations.