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 :
بازگشت