Fairness Aware Rate Adaptation and Proportional Scheduling for IEEE 802.11 WLANs Using FSE  

作　　者：CHANG Zheng ZHANG Xiaoyu GUO Xijuan LIU Yang 

机构地区：[1]University of Jyvaskyla,Department of Mathematical Information Technology [2]College of Information Science and Engineering,Yanshan University

出　　处：《China Communications》2015年第4期69-75,共7页中国通信（英文版）

基　　金：partially supported by the Academy of Finland (Decision No. 284748, 288473)

摘　　要：With its rapid development in the wireless markets, IEEE 802.11 WLAN is experiencing a huge popularity. However, due to the limitation of frequency bandwidth of WLANs, it is essential that the available radio resource should be fully utilized to offer different services to multiple users. In order to maximize system throughput while still guaranteeing the fairness among users, a proportional fairness based algorithm is proposed in this work. Since most of the previous resource allocation algorithms were simply based on the channel conditions without taking into account user's demand, in this paper, we introduce the theory of fuzzy synthetic evaluation(FSE) which also allows us to consider user's demand as an important factor. As such, the fairness among users can be improved based on different users' requirements for services. In addition, a channel state information based rate adaptation scheme is also proposed. Through simulation studies, the results clearly validate that our proposed scheme shows advantages on providing user fairness while still improving the system throughput.With its rapid development in the wireless markets, IEEE 802.11 WLAN is experiencing a huge popularity. However, due to the limitation of frequency bandwidth of WLANs, it is essential that the available radio resource should be fully utilized to offer different services to multiple users. In order to maximize system throughput while still guaranteeing the fairness among users, a proportional fairness based algorithm is proposed in this work. Since most of the previous resource allocation algorithms were simply based on the channel conditions without taking into account user＇s demand, in this paper, we introduce the theory of fuzzy synthetic evaluation （FSE） which also allows us to consider user＇s demand as an important factor. As such, the fairness among users can be improved based on different users＇ requirements for services. In addition, a channel state information based rate adaptation scheme is also proposed. Through simulation studies, the results clearly validate that our proposed scheme shows advantages on providing user fairness while still improving the system throughput.

关 键 词：proportional fairness RESOURCEALLOCATION fuzzy synthetic evaluation adaptive rate IEEE 802.11 WLAN 

分 类 号：TN925.93[电子电信—通信与信息系统]