Article citationsMore>>
Y. Zhao, J. Gaeddert, L. Morales, K. Bae, J. S. Um and J. H. Reed, “Development of Radio Environment Map Enabled Case-and Knowledge-Based Learning Algorithms for IEEE 802.22 WRAN Cognitive Engines,” The 2nd International Conference on Cognitive Radio Oriented Wireless Network and Communications, Orlando, 1-3 August 2007, pp. 44-49.
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.