DocumentCode
162954
Title
Optimization of non-convex multiband cooperative sensing
Author
Khwaja, A.S. ; Naeem, M. ; Anpalagan, Alagan ; Venetsanopoulos, Anastasios
Author_Institution
Ryerson Univ., Toronto, ON, Canada
fYear
2014
fDate
1-4 June 2014
Firstpage
61
Lastpage
65
Abstract
This paper proposes a pattern search (PS) based algorithm to optimize non-convex multi-band cooperative sensing problem. We present a two-step PS-based solution: The first step uses uniformly distributed random sets of input points to find a solution. The set of points that gives the maximum throughput is chosen as input to the second step, which consists of solving the problem using PS algorithm. We give numerical examples that show the improvement of our method over existing algorithms.
Keywords
cooperative communication; optimisation; random functions; maximum throughput; nonconvex multiband cooperative sensing; optimization; pattern search; two-step PS-based solution; uniformly distributed random sets; Cognitive radio; Interference; Optimization; Sensors; Throughput; Vectors; Wideband;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (QBSC), 2014 27th Biennial Symposium on
Conference_Location
Kingston, ON
Type
conf
DOI
10.1109/QBSC.2014.6841185
Filename
6841185
Link To Document