Joint optimization of admission control and power control in cognitive radio networks

被引：0
|
作者：
Zhu J. [1 ]
Duan A. [1 ,2 ]
Xiong J. [1 ]
Chen H. [1 ]
机构：
[1] Chongqing Key Lab of Mobile Communications Technology, Chongqing University of Posts and Telecommunications, Chongqing
[2] Department of Mathematics and Information Engineering, Chongqing University of Education, Chongqing
来源：
| 1600年 / Chinese Institute of Electronics卷 / 39期
关键词：
Admission control; Interference temperature; Particle swarm optimization algorithm; Power control;
D O I：
10.3969/j.issn.1001-506X.2017.03.27
中图分类号：
学科分类号：
摘要：
A scheme is proposed based on the discrete particle swarm optimization and simplex method to realize the joint optimization of admission control and power control. Under the constraint of the interference temperature and the QoS requirement of secondary users, the admission control is modeled as 0/1 the combinatorial optimization problem and the power control is transformed into a linear constraint problem. The admission control is NP-hard, the admission control and power control is solved by weighted programming. In order to reduce the complexity, a feasibility verification method of combined optimization of admission control is proposed. The convergence of the discrete particle swarm optimization algorithm is proved. The simulation results and analysis show that the proposed scheme is convergent. Compared with the existing optimization methods, the proposed scheme can effectively increase the number of admitted secondary users and reduce power consumption, and improve the performance of network optimization. © 2017, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：641 / 648
页数：7
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