SCOPUS 정보 검색 플랫폼

Mobile Networks and Applications

Volumn 13, Issue 5, 2008, Pages 442-451

Population adaptation for genetic algorithm-based cognitive radios

(5) Newman, Timothy R a,b Rajbanshi, Rakesh a,b Wyglinski, Alexander M a,c Evans, Joseph B a Minden, Gary J a

a UNIVERSITY OF KANSAS (United States)

b Atwater Kent Laboratories ^* (United States)

c Worcester Polytechnic Institute (United States)

Author keywords

Adaptive protocols; Cognitive radio; Genetic algorithm; Population adaptation

Indexed keywords

CHLORINE COMPOUNDS; DIESEL ENGINES; GENETIC ALGORITHMS; OPTIMIZATION; PARAMETER ESTIMATION; POPULATION STATISTICS; RADIO BROADCASTING; RADIO SYSTEMS; RADIO TRANSMISSION;

ADAPTIVE PROTOCOLS; AMOUNT OF INFORMATION; COGNITIVE RADIO; COGNITIVE RADIOS; ENVIRONMENT PARAMETERS; ENVIRONMENTAL VARIATIONS; GENETIC ALGORITHM; OPTIMAL DECISIONS; OPTIMIZ ATION PROBLEMS; PERFORMANCE OBJECTIVES; POPULATION ADAPTATION; PROBLEM SPACE; SEARCH SPACES; SIMULATION RESULTS; SYSTEM COMPLEXITY; TRANSMISSION PARAMETERS; WIRELESS ENVIRONMENTS;

ALGORITHMS;

EID: 52549095337 PISSN: 1383469X EISSN: None Source Type: Journal
DOI: 10.1007/s11036-008-0079-8 Document Type: Article

Times cited : (39)

References (7)

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2
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- Rieser C, Rondeau T, Bostian C, Gallagher T (2004) Cognitive radio testbed: further details and testing of a distributed genetic algorithm based cognitive engine for programmable radios. In: IEEE Military Communications Conference, Monterey, 31 October-3 November 2004
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3
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4
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5
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6
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7
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.