Chaos quantum clonal algorithm for decision engine of cognitive wireless network

Chai Zheng-Yi; Liu-Fang; Zhu Si-Feng

doi:10.7498/aps.61.028801

Abstract

By analyzing engine decision of cognitive wireless network, the mathematical model of engine decision is given, and then it is converted into a multi-objective optimization problem. A Chaos quantum clonal algorithm is proposed to solve the problem, and the algorithm convergent with probability 1 is proved, in which the quantum coding and logistic mapping are used to initialize the population. A quantum mutation scheme is designed with chaotic disturbances. Finally, the simulation experiments are done to test the algorithm under a multi-carrier system. The results show that compared with QGA-CE (quantum genetic algorithm based cognitive engine), this algorithm has a good convergence and an objective function value. It can adapt the parameter configuration and meet the real-time requirement for cognitive engine.

Keywords:

Authors and contacts

1.
School of Computer Science and technology, Xidian University, Xi’an 710071, China;
2.
Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, Xi’am 710071, China
Funds: Project supporled by the National High Technology Research and Development Program (863 Program) of China (Grant No. 2009AA12Z210), the National Natural Science Foundation of China (Grant Nos. 61001202, 61072139, 61003199), the National Research Foundation for the Doctoral Program of Higher Education of China (Grant Nos. 20090203120016, 20100203120008), the Fundamental Research Funds for the Central Universities (Grant No. JY10000902001), and the Science and Technology Development Program of Zhengzhou (Grant No. 2010GYXM374).

References

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Cited By

[1]	Haykin S 2008 IEEE J. Sel. Area Comm. 23 201
[2]	Rieser C J 2006 Ph. D. Dissertation (Virginia: Virginia Tech)
[3]	Tim R N, Brett A B, Alexander M 2008 Wirel. Commun. Mob. Com. 7 1129
[4]	Zhao Z Z, Zheng S L, Shang J N, Kong X Z 2009 Acta. Phys. Sin. 58 6760 (in Chinese) [赵知劲, 郑仕链, 徐世宇, 孔宪正 2009 物理学报 58 6760]
[5]	Muha W, Anni C 2009 Fifth International Conference on Wireless and Mobile Communications, Dy SPAN, July 2–6, 2009 p143
[6]	Zhao Z Z, Xu S Y,Zheng S L, Yang X N 2009 Acta. Phys. Sin. 58 6760 (in Chinese) [赵知劲, 徐世宇, 郑仕链, 杨小牛 2009 物理学报 58 5118]
[7]	Ycek T, Arslan H 2009 IEEE Comm. 1 116
[8]	Newman T R, Evans J B 2008 The 3rd IE-EE Symposium on New Frontiers in Dynamic Spectrum Access Networks, Chicago, March 10–12 p1
[9]	Du, H F, Gong M G, Liu R C 2009 Sci. China Ser. F 19 237
[10]	Wu Q Y, Jiao L C, Li Y Y 2009 Prog. Nat. Sci. 19 1341
[11]	Gong M G, Jiao L C, Liu F, Ma W P 2010 Knowl. Inf. Syst. 25 523
[12]	Yang D D, Jiao L C, Gong M G, Feng J 2010 Comput. Intell. 26 359
[13]	Zhang P, Feng Z Y 2010 Cognitive Wireless Network (Beijing: posts and telecomm press) p210–215 (in Chinese) [张平, 冯志勇 2010 认知无线网络 (北京:人民邮电出版社) 第210—215页]
[14]	Zhou J, Zu Y X 2010 Acta. Phys. Sin. 59 7508 (in Chinese) [周杰, 俎云霄 2010 物理学报 59 7508]
[15]	Zu Y X, Zhou J 2010 Chin. Phys. B 19 119501

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Catalog

Vol. 61, Issue 2 - 2012-01-20

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