Comparing the Iwl-Mvm-Rs and Minstrel-HT Rate Adaptation Algorithms Under Different Local Error Conditions

被引:2
作者
Wang, Luhan [1 ]
Davis, Mark [1 ]
机构
[1] Technol Univ Dublin, Sch Elect & Elect Engn, Dublin, Ireland
来源
2023 34TH IRISH SIGNALS AND SYSTEMS CONFERENCE, ISSC | 2023年
基金
爱尔兰科学基金会;
关键词
Wi-Fi Network; IEEE; 802.11; PHY; Rate Adaptation Algorithm;
D O I
10.1109/ISSC59246.2023.10162115
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
WLAN technology has grown rapidly and now provides increasingly reliable and fast wireless connectivity. A number of Rate Adaptation Algorithms (RAAs) which are designed to select the optimal line rate according to the channel conditions have been proposed. Iwl-Mvm-Rs RAA which is implemented in the Intel wireless chips and Minstrel-HT RAA which is implemented in the Linux kernels are two such well-known algorithms. Many existing papers evaluate these two algorithms with regard to device mobility and signal fading. However, the causes of frame errors can be divided into two categories: weak signal reception and collisions. Therefore, in this paper, we investigated three test scenarios in NS-3 for these two causes of error in order to analyze and compare these two algorithms. We find that the response time for Iwl-Mvm-Rs to find the optimal line rate is shorter than Minstrel-HT RAA. Minstrel-HT RAA always chooses a higher line rate than Iwl-Mvm-Rs, but Iwl-Mvm-Rs performs better in terms of reducing the Frame Error Rate (FER) when weak signal reception is the cause of the error. However, when the cause of the error is a collision, Minstrel-HT RAA performs better because it always chooses a higher line rate since lowering the line rate is not beneficial in this scenario. This approach can also be useful for analyzing the correlation between the line rate and the local channel condition.
引用
收藏
页数:6
相关论文
共 9 条
[1]  
[Anonymous], 2017, International Journal of Simulation-Systems, Science & Technology
[2]  
Fietkau, 2022, MINSTREL HT LINUX WI
[3]  
Fietkau F., 2010, MINSTRE1HT NEW RATE
[4]   Simulation and Performance Evaluation of the Intel Rate Adaptation Algorithm [J].
Grunblatt, Remy ;
Guerin-Lassous, Isabelle ;
Simonin, Olivier .
MSWIM'19: PROCEEDINGS OF THE 22ND INTERNATIONAL ACM CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS, 2019, :27-34
[5]   SIRA: SNR-Aware Intra-Frame Rate Adaptation [J].
Lee, Okhwan ;
Kim, Jihoon ;
Lim, Jongtae ;
Choi, Sunghyun .
IEEE COMMUNICATIONS LETTERS, 2015, 19 (01) :90-93
[6]  
Mcgregor A., 2010, Rate adaptation for 802.11 wireless networks: Minstrel
[7]  
nsnam, about us
[8]   Damysus: A Practical IEEE 802.11ax BSS Color Aware Rate Control Algorithm [J].
Selinis, Ioannis ;
Katsaros, Konstantinos ;
Vahid, Seiamak ;
Tafazolli, Rahim .
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS, 2019, 26 (04) :285-307
[9]  
Xia Dong, 2012, 2012 IEEE 23 INT S P