摘要
针对超高速IEEE 802.11ac网络中速率自适应算法的效率是决定系统性能的关键因素,本文提出了一种基于信息统计的高效速率自适应算法(AMRA)。该算法采用发送和接收相结合的方式精确地估计当前信道状况,并在由发送带宽、空间流数、物理层的调制模式所确定的三维空间内选择最佳的速率。通过实际测试验证,结果表明在不同的信道环境下,该算法的吞吐率性能均优于Atheros MIMO RA、Minstrel等速率自适应算法,有效提高了网络吞吐量性能和利用率。
The efficiency of rate adaptive algorithm is a decisive factor for system performance in the super high speed IEEE 802. 11 ac network. In view of the shortcomings of the existing rate adaptive algorithms, a high-efficiency rate adaptive algorithm-- AMRA for IEEE 802. 11 ac was proposed. The algorithm determines the best rate from the three-dimensional space of the transmission bandwidth, space flow number, and the physical layer modulation mode by jointly considering the statistical information of sending and receiving behavior to precisely estimate current channel state. The comparison with existing rate adaption algorithms shows that under different channel environmerits, the throughput performance of the algorithm is superior to other commonly used rate adaptive algorithm such as Atheros MIMO RA, Minstrel, etc. , and can improve the network throughput and utilization effectively.
作者
程鹏
吴斌
黑勇
CHENG Peng WU Bin HEI Yong(Institute of Microelectronics, Chinese Academy of Sciences, Beijing 100029, China)
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2017年第9期1431-1436,1483,共7页
Journal of Harbin Engineering University
基金
基金项目:超高速无线局域网的国际标准化与技术验证研究(2012ZX03004004)
关键词
802.11ac
速率自适应
信道状况
多维空间
高效速率自适应算法
吞吐率
802. 11ac
rate adaptation
channel condition
multi-dimensional space
arrangement muhiple-input multiple-output rate adaptation algorithm(AMRA)
throughput rate