Please wait a minute...
Chin. Phys. B, 2010, Vol. 19(11): 119501    DOI: 10.1088/1674-1056/19/11/119501
GEOPHYSICS, ASTRONOMY, AND ASTROPHYSICS Prev   Next  

Cognitive radio resource allocation based on coupled chaotic genetic algorithm

Zu Yun-Xiao(俎云霄),Zhou Jie(周杰), and Zeng Chang-Chang(曾昶畅)
School of Electronic Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Abstract  A coupled chaotic genetic algorithm for cognitive radio resource allocation which is based on genetic algorithm and coupled Logistic map is proposed. A fitness function for cognitive radio resource allocation is provided. Simulations are conducted for cognitive radio resource allocation by using the coupled chaotic genetic algorithm, simple genetic algorithm and dynamic allocation algorithm respectively. The simulation results show that, compared with simple genetic and dynamic allocation algorithm, coupled chaotic genetic algorithm reduces the total transmission power and bit error rate in cognitive radio system, and has faster convergence speed.
Keywords:  cognitive radio      chaotic genetic algorithm      resource allocation      coupled Logistic map  
Received:  13 May 2010      Revised:  02 July 2010      Accepted manuscript online: 
PACS:  02.60.Pn (Numerical optimization)  
  84.40.Ua (Telecommunications: signal transmission and processing; communication satellites)  
Fund: Project supported by the National High Technology Research and Development Program of China (Grant No. 2009AA01Z206), the Research Fund for Joint China–Canada Research and Development (R&D) Projects of The Ministry of Science and Technology,China (Grant No. 2010DFA11320).

Cite this article: 

Zu Yun-Xiao(俎云霄),Zhou Jie(周杰), and Zeng Chang-Chang(曾昶畅) Cognitive radio resource allocation based on coupled chaotic genetic algorithm 2010 Chin. Phys. B 19 119501

[1] Scutari G and Palomar D P 2010 IEEE Transactions on Signal Processing 58 761
[2] Zhao Z J, Zheng S L, Xu C Y and Kong X Z 2007 Chin. Phys. 16 1619
[3] Hasan Z, Bansal G, Hossain E and Bhargava V 2009 IEEE Transactions on Wireless Communicationsit 8 6078
[4] Urgaonkar R and Neely M J 2009 IEEE Transactions on Mobile Computing 8 766
[5] Zhao Z J, Peng Z, Zheng S L, Xu S Y, Lou C Y and Yang X N 2009 Acta Phys. Sin. 58 1358 (in Chinese)
[6] Marques A G, Xin W and Giannakis G B 2009 IEEE Transactions on Signal Processing 57 3651
[7] Ngo D T, Tellambura C and Nguyen H H 2009 IEEE Transactions on Vehicular Technology 58 4878
[8] Attar A, Holland O, Nakhai M R and Aghvami A H 2009 IET Communications 2 806
[9] Bansal G, Hossain M J and Bhargava V K 2008 IEEE Transactions on Wireless Communications 7 4710
[10] Liang C X and Tang J S 2008 Chin. Phys. B 17 135
[11] Zhou Q, Chen Z Q and Yuan Z Z 2007 Chin. Phys. 16 2616
[12] Tang Y, Zhong H H and Fang J A 2008 Chin. Phys. B 17 4080
[13] Sanguinetti L, Morelli M and Poor H V 2010 IEEE Transactions on Signal Processingit 58 2771
[14] Guo W Z and Zhang S 2010 J. Electro. Infor. Techn. 32 1168 (in Chinese)
[15] Zhou P and Cao Y X 2007 Chin. Phys. 16 2903
[16] Meng Q F, Peng Y H and Sun J 2007 Chin. Phys. 16 3220
[17] Tian L L, Li D H and Sun X F 2008 Chin. Phys. B 17 507
[18] Zhao Z J, Xu S Y, Zheng S L and Yang X N 2009 Acta Phys. Sin. 58 5118 (in Chinese)
[19] Zhang C X and Yu S M 2009 Chin. Phys. B 18 119
[20] Zhang X F and Fan J L 2010 Acta Phys. Sin. 59 2298 (in Chinese)
[21] Wu X D and Song Z H 2008 Chin. Phys. B 17 3241
[22] Nasif A O and Mark B L 2009 IEEE Transactions on Communications 8 5702
[23] Chen Q and Ren X M 2010 Acta Phys. Sin. 59 2310 (in Chinese)
[24] Zhou P, Cheng X F and Zhang N Y 2008 Chin. Phys. B 17 3252
[25] Wang D F and Han P 2008 Chin. Phys. B 17 3603
[26] Zhu S P, Qian F C and Liu D 2010 Acta Phys. Sin. 59 2250 (in Chinese)
[27] Liu Y Z, Jiang C S and Lin C S 2007 Acta Phys. Sin. 56 707 (in Chinese)
[28] Luo S Y, Shao M Z and Luo X H 2010 Acta Phys. Sin. 59 2685 (in Chinese)
[29] Zhang R X, Tian G, Li P and Yang S P 2008 Acta Phys. Sin. 57 2073 (in Chinese)
[30] Cang S J, Chen Z Q and Wu W J 2009 Chin. Phys. B 18 1792
[31] Liu H S, Yu C X, Yin X L, Zhang Q and Xin X J 2009 Acta Phys. Sin. 58 2231 (in Chinese)
[32] Chen J F, Tian X J and Shan J D 2010 Acta Phys. Sin. 59 2281 (in Chinese)
[33] Zhao L D, Hu J B and Liu X H 2010 Acta Phys. Sin. 59 2305 (in Chinese)
[1] Modeling for heterogeneous multi-stage information propagation networks and maximizing information
Ren-Jie Mei(梅人杰), Li Ding(丁李), Xu-Ming An(安栩明), Ping Hu(胡萍). Chin. Phys. B, 2019, 28(2): 028701.
[2] Cognitive radio adaptation for power consumption minimization using biogeography-based optimization
Pei-Han Qi(齐佩汉), Shi-Lian Zheng(郑仕链), Xiao-Niu Yang(杨小牛), Zhi-Jin Zhao(赵知劲). Chin. Phys. B, 2016, 25(12): 128403.
[3] Improving the secrecy rate by turning foes to allies: An auction scheme
Ma Ya-Yan (马亚燕), Wang Bao-Yun (王保云). Chin. Phys. B, 2015, 24(9): 090209.
[4] A two-stage spectrum sensing scheme based on energy detection and a novel multitaper method
Qi Pei-Han (齐佩汉), Li Zan (李赞), Si Jiang-Bo (司江勃), Xiong Tian-Yi (熊天意). Chin. Phys. B, 2015, 24(4): 048401.
[5] Optimal satisfaction degree in energy harvesting cognitive radio networks
Li Zan (李赞), Liu Bo-Yang (刘伯阳), Si Jiang-Bo (司江勃), Zhou Fu-Hui (周福辉). Chin. Phys. B, 2015, 24(12): 128401.
[6] Traffic resource allocation for complex networks
Ling Xiang (凌翔), Hu Mao-Bin (胡茂彬), Long Jian-Cheng (龙建成), Ding Jian-Xun (丁建勋), Shi Qin (石琴). Chin. Phys. B, 2013, 22(1): 018904.
[7] Multi-user cognitive radio network resource allocation based on the adaptive niche immune genetic algorithm
Zu Yun-Xiao(俎云霄) and Zhou Jie(周杰) . Chin. Phys. B, 2012, 21(1): 019501.
[8] Link prediction based on a semi-local similarity index
Bai Meng(白萌), Hu Ke(胡柯), and Tang Yi(唐翌) . Chin. Phys. B, 2011, 20(12): 128902.
No Suggested Reading articles found!