Cognitive Radio Decision Engine Based on Priori Knowledge

Given a dynamic wireless spectrum environment, to find the optimal decision in a huge solution space is primary feature of cognitive radio decision engine for wireless communication systems. Current researches mainly focus on evolutionary algorithm. However, the current researches completely transfo...

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Vydáno v:2010 3rd International Symposium on Parallel Architectures, Algorithms and Programming s. 255 - 259
Hlavní autoři: Wu Di, Wang Feng, Yang Shengyao
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 01.12.2010
Témata:
Cognitive radio
Cognitive Radio Decision Engine
Engines
Error analysis
Evolutionary Algorithm
Evolutionary computation
Immune
Modulation
Vaccines
ISBN:1424494826, 9781424494828
ISSN:2168-3034
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Shrnutí:Given a dynamic wireless spectrum environment, to find the optimal decision in a huge solution space is primary feature of cognitive radio decision engine for wireless communication systems. Current researches mainly focus on evolutionary algorithm. However, the current researches completely transform the problem into mathematical problems and ignore the particularity of the problem itself. This article uses the immune theory, leading the priori knowledge into evolutionary algorithm, to guide the evolutionary process. By comparing with the simple genetic algorithm (SGA), the experiments prove method feasible and effective. At last, this article noted that the method can greatly increase the efficiency of the most current cognitive radio decision engines using evolutionary algorithm.
ISBN:1424494826
9781424494828
ISSN:2168-3034
DOI:10.1109/PAAP.2010.36