高技术通讯2018，Vol.28Issue(1)：15-21,7.DOI:10.3772/j.issn.1002-0470.2018.01.003
基于多关联模型的软件定义高密WLAN EDCA机制的吞吐量优化
Throughput Optimization of multiple association-based EDCA software defined dense WLAN
摘要
Abstract
To improve the global throughput of IEEE 802.11e enhanced distributed channel access(EDCA)architecture under dense scenarios,the software defined WLAN system based on a multiple association model and a access point (AP)association algorithm are studied.Firstly, the software defined WLAN architecture is extended to support multiple association without client-side modification,thus traffic in different priorities can be transmitted by differ-ent physical APs.Then the features of both airtime and data rate in dense scenarios are considered,and the quick AP selection algorithm is proposed.Its time complexity is decreased to logNfrom 2N.Finally,the algorithm is im-plemented and evaluated in test-bed.The results show that the multiple association-based AP selection algorithm obviously improves the total throughput.Compared with the single AP selection policy, the total throughput is in-creased by 48%,while compared with the dense AP selection policy,the increasement is up to 35%.关键词
软件定义网络(SDN)/高密/多关联模型/接入点(AP)分配算法Key words
software-defined network(SDN)/dense/multiple association model/access point(AP)selec-tion algorithm引用本文复制引用
何剑,张广兴,谢高岗..基于多关联模型的软件定义高密WLAN EDCA机制的吞吐量优化[J].高技术通讯,2018,28(1):15-21,7.基金项目
863计划(2015AA016101),国家自然科学基金(No.61502462)和北京市自然科学基金(4162057)资助项目. （2015AA016101）
