SIA OpenIR  > 工业控制网络与系统研究室
A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model
Jia J(贾杰); Wang XW(王兴伟); Chen J(陈剑)
作者部门工业控制网络与系统研究室
关键词Wireless Mesh Network Throughput Optimization Channel Allocation Power Control Route Selection Genetic Algorithm
发表期刊AD HOC NETWORKS
ISSN1570-8705
2015
卷号27页码:57-67
收录类别SCI ; EI
EI收录号20145200364492
WOS记录号WOS:000349732400004
产权排序1
资助机构National Natural Science Foundation of China [61173153, 61402096, 60903159] ; National Science Foundation for Distinguished Young Scholars of China [61225012, 71325002] ; Fundamental Research Funds for the Central Universities [N130504007, N110404014, N110318001, N110204003, N120104001] ; Specialized Research Fund of the Doctoral Program of Higher Education for the Priority Development Areas [20120042130003] ; China MOE ; China Mobile Joint Research Foundation [MCM20130391]
摘要Due to the limited spectrum resources and the differences of link loads, how to obtain maximum network throughput through cross-layer design under signal-to-interference-and-noise ratio (SINR) model is recognized as a fundamental but hard problem. For this reason, the throughput maximization problem jointly with power control, channel allocation and routing under SINR model is researched. First, by formulating the optimization model and digging up its special structure, we show that the throughput maximization problem can be decomposed into two sub-problems: a channel allocation and power control sub-problem at the link-physical layer, and a throughput optimization sub-problem at the network layer. As to the link-physical layer sub-problem, since the joint optimization on channel allocation and power control is NP hard, we apply genetic algorithm for searching the optimal solution. As to the network layer sub-problem, we use linear programming technique for throughput optimization. To reflect the interplay property among these three layers, the fitness of each individual in the genetic algorithm is evaluated by solving the network layer sub-problem. Therefore, an effective cross-layer optimization framework based on genetic algorithm is obtained, which can find optimized power control, channel allocation and route selection in polynomial time. In order to enhance the convergence process during evolution, the integer based representation scheme and corresponding genetic operators are well designed with appropriate constraint control mechanisms. Extensive simulation results demonstrate that the proposed scheme obtains higher network throughput compared to the pervious works with comparable computational complexity. (C) 2014 Elsevier B.V. All rights reserved.
语种英语
WOS标题词Science & Technology ; Technology
WOS类目Computer Science, Information Systems ; Telecommunications
关键词[WOS]CHANNEL ASSIGNMENT ; POWER-CONTROL ; ALLOCATION ; ALGORITHMS ; CAPACITY ; GAME
WOS研究方向Computer Science ; Telecommunications
引用统计
被引频次:10[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.sia.cn/handle/173321/16469
专题工业控制网络与系统研究室
通讯作者Wang XW(王兴伟)
作者单位1.College of Information Science and Engineering, Northeastern University, Shenyang, China
2.Key Laboratory of Networked Control System, Chinese Academy of Sciences, Shenyang, China
3.Key Laboratory of Medical Image Computing of Ministry of Education, Northeastern University, Shenyang, China
推荐引用方式
GB/T 7714
Jia J,Wang XW,Chen J. A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model[J]. AD HOC NETWORKS,2015,27:57-67.
APA Jia J,Wang XW,&Chen J.(2015).A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model.AD HOC NETWORKS,27,57-67.
MLA Jia J,et al."A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model".AD HOC NETWORKS 27(2015):57-67.
条目包含的文件 下载所有文件
文件名称/大小 文献类型 版本类型 开放类型 使用许可
A genetic approach o(813KB)期刊论文出版稿开放获取ODC PDDL浏览 下载
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Jia J(贾杰)]的文章
[Wang XW(王兴伟)]的文章
[Chen J(陈剑)]的文章
百度学术
百度学术中相似的文章
[Jia J(贾杰)]的文章
[Wang XW(王兴伟)]的文章
[Chen J(陈剑)]的文章
必应学术
必应学术中相似的文章
[Jia J(贾杰)]的文章
[Wang XW(王兴伟)]的文章
[Chen J(陈剑)]的文章
相关权益政策
暂无数据
收藏/分享
文件名: A genetic approach on cross-layer optimization for cognitive radio wireless mesh network under SINR model.pdf
格式: Adobe PDF
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。