Throughput optimization in cognitive wireless network based on clone selection algorithm

被引：4
作者：
Chai Zheng-Yi [1 ,3 ]
Yan Xue-yang [2 ]
Li Ya-lun [1 ]
Zhu Si-feng [3 ]
机构：
[1] Tianjin Polytech Univ, Sch Comp Sci & Software Engn, Tianjin 300387, Peoples R China
[2] Nanyang Med Coll, Publ Teaching Dept, Nanyang 473003, Henan Province, Peoples R China
[3] Zhoukou Normal Univ, Dept Math & Informat Sci, Zhoukou 466001, Peoples R China
来源：
COMPUTERS & ELECTRICAL ENGINEERING | 2016年 / 52卷
基金：
中国国家自然科学基金;
关键词：
Cognitive wireless network; Throughput optimization; Immune clone algorithm; Constraint optimization; RESOURCE-ALLOCATION; RADIO NETWORKS;
D O I：
10.1016/j.compeleceng.2015.12.012
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
In cognitive wireless network, throughput scheduling optimization under interferebce temperature constraints has attracted more attentions in recent years. A lot of works have been investigated on it with different scenarios. However, these solutions have either high computational complexity or relatively poor performance. Throughput scheduling is a constraint optimization problem with NP(Non-deterministic Polynomial) hard features. In this paper, we proposed an immune-clone based suboptimal algorithm to solve the problem. Suitable immune clone operators are designed such as encoding, clone, mutation and selection. The simulation results show that our proposed algorithm obtains near-optimal performance and operates with much lower computational complexity. It is suitable for slowly varying spectral environments. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码：328 / 336
页数：9
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