2008 IEEE 68th Vehicular Technology Conference 2008
DOI: 10.1109/vetecf.2008.271
|View full text |Cite
|
Sign up to set email alerts
|

Enhancing Cognitive Radio Algorithms Through Efficient, Automatic Adaptation Management

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2010
2010
2010
2010

Publication Types

Select...
1
1
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 10 publications
0
1
0
Order By: Relevance
“…• a cognitive engine design, based on the cognition cycle, using different techniques, like genetic algorithms, adaptive mutation mechanism [14], various kind of bio-inspired algorithms [15], and statistical learning [16], • very advanced CR terminal implementation methods: poly-phase multi-path radio circuits [17], FPGA (Field Programmable Gate Array) implementations [18], re-configurable FFT (Fast Fourier Transform) processors [19], MIMO (Multiple Input Multiple Output) technology, and turbo and/or nano-scale processing [20],…”
Section: The 5g Terminal Is a Cr Terminalmentioning
confidence: 99%
“…• a cognitive engine design, based on the cognition cycle, using different techniques, like genetic algorithms, adaptive mutation mechanism [14], various kind of bio-inspired algorithms [15], and statistical learning [16], • very advanced CR terminal implementation methods: poly-phase multi-path radio circuits [17], FPGA (Field Programmable Gate Array) implementations [18], re-configurable FFT (Fast Fourier Transform) processors [19], MIMO (Multiple Input Multiple Output) technology, and turbo and/or nano-scale processing [20],…”
Section: The 5g Terminal Is a Cr Terminalmentioning
confidence: 99%