Optimization of Cognitive Radio System Using Simulated Annealing

被引：19

作者：

Kaur, Kiranjot ^{[1
]}

Rattan, Munish ^{[2
]}

Patterh, Manjeet Singh ^{[3
]}

机构：

[1] Dr BR Ambedkar Natl Inst Technol Jalandhar, Dept Elect & Commun Engn, Jalandhar, Punjab, India

[2] Guru Nanak Dev Engn Coll, Dept Elect & Commun Engn, Ludhiana, Punjab, India

[3] Punjabi Univ, Univ Coll Engn, Dept Elect & Commun Engn, Patiala, Punjab, India

来源：

WIRELESS PERSONAL COMMUNICATIONS | 2013年 / 71卷 / 02期

关键词：

Cognitive radio; Simulated annealing; Fitness function; Multi-objective optimization;

D O I：

10.1007/s11277-012-0874-1

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Cognitive radio (CR) technology has introduced a revolution in wireless communication network and it is capable to operate in a continuously varying radio frequency environment that depends on multiple parameters. In this paper, optimization of CR system has been achieved using simulated annealing (SA) Technique. SA is a stochastic global optimization technique that exploits an analogy between the way in which a metal cools and freezes into a minimum energy crystalline structure. SA has been used to meet the quality of service (QoS) that is defined by the user in terms of minimum transmit power, minimum bit error rate, maximum throughput, minimum interference and maximum spectral efficiency. The results obtained by SA are compared with the genetic algorithm (GA) results for the various QoS parameters and it has been observed that SA is outperforming GA in CR system optimization.

引用

页码：1283 / 1296

页数：14

共 50 条

[41] Sparse array optimization by using the simulated annealing algorithm
Behar, Vera
Nikolov, Milen
[J]. NUMERICAL METHODS AND APPLICATIONS, 2007, 4310 : 223 - +
[42] Binary wavefront optimization using a simulated annealing algorithm
Fang, Longjie
Zuo, Haoyi
Yang, Zuogang
Zhang, Xicheng
Du, Jinglei
Pang, Lin
[J]. APPLIED OPTICS, 2018, 57 (08) : 1744 - 1751
[43] Optimization of Fuzzy Inference System Field Classifiers Using Genetic Algorithms and Simulated Annealing
Patel, Pretesh B.
Marwala, Tshilidzi
[J]. ENGINEERING APPLICATIONS OF NEURAL NETWORKS, 2012, 311 : 21 - 30
[44] Optimization of a water resources system expansion using the Genetic Algorithm and Simulated Annealing methods
Sánchez, E
Andreu, J
[J]. INGENIERIA HIDRAULICA EN MEXICO, 2001, 16 (02): : 17 - 26
[45] Optimization of Trusses Using Simulated Annealing for Discrete Variables
Xiang, Bao-wei
Chen, Rong-qin
Zhang, Tao
[J]. PROCEEDINGS OF 2009 INTERNATIONAL CONFERENCE ON IMAGE ANALYSIS AND SIGNAL PROCESSING, 2009, : 410 - 414
[46] Optimization of electric discharge machining using simulated annealing
Yang, Seung-Han
Srinivas, J.
Mohan, Sekar
Lee, Dong-Mok
Balaji, Sree
[J]. JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2009, 209 (09) : 4471 - 4475
[47] Web newspaper layout optimization using simulated annealing
González, J
Rojas, I
Pomares, H
Salmerón, M
Merelo, JJ
[J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, 2002, 32 (05): : 686 - 691
[48] Optimization of Test Sequence in Radio Block Center Based on Simulated Annealing Algorithm
Wang, Weiqi
[J]. PROCEEDINGS OF THE 33RD CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2021), 2021, : 7446 - 7451
[49] OPTIMIZATION OF SPECTRUM UTILIZATION IN COGNITIVE RADIO SYSTEM
Li Hongjiang Zhu QiJiangsu Key Laboratory of Wireless CommunicationsKey Laboratory on Wideband Wireless Communications and Sensor Network Technology of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing China
[J]. Journal of Electronics(China)., 2011, 28(Z1) (China) - 459
[50] OPTIMIZATION OF SPECTRUM UTILIZATION IN COGNITIVE RADIO SYSTEM
Li Hongjiang Zhu Qi(Jiangsu Key Laboratory of Wireless Communications
[J]. Journal of Electronics(China), 2011, 28 (Z1) : 450 - 459

← 1 2 3 4 5 →