Article citationsMore>>
P. Demestichas, A. Katidiotis, K. A. Tsagkaris, E. F. Adamopoulou and K. P. Demestichas, “Enhancing Channel Estimation in Cognitive Radio Systems by Means of Bayesian Networks,” Wireless Personal Communications, Vol. 49, No. 1, 2009, pp. 87-105.
doi:10.1007/s11277-008-9559-1
has been cited by the following article:
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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.