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I. A. Akbar and W. H. Tranter, “Dynamic Spectrum Allocation in Cognitive Radio Using Hidden Markov Models: Poisson Distributed Case,” Proceedings of IEEE, Richmond, 22-25 March 2007, pp. 196-201.

has been cited by the following article:

• TITLE: Improving the Reliability of Unmanned Aircraft System Wireless Communications through Cognitive Radio Technology

  AUTHORS: Hector Reyes, Naima Kaabouch

  KEYWORDS: UAS; Intelligent Communication Systems; Cognitive Radio; Reliability

  JOURNAL NAME: Communications and Network, Vol.5 No.3, August 9, 2013

  ABSTRACT: Unmanned Aircraft System networks are a special type of networks where high speeds of the nodes, long distances and radio spectrum scarcity pose a number of challenges. In these networks, the strength of the transmitted/received signals varies due to jamming, multipath propagation, and the changing distance among nodes. High speeds cause another problem, Doppler Effect, which produces a shifting of the central frequency of the signal at the receiver. In this paper we discuss a modular system based on cognitive to enhance the reliability of UAS networks.