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基于802.11ac网络的混合速率自适应算法

Hybrid Rate Adaptation Algorithm Based on 802.11ac Network
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摘要 IEEE 802.11ac技术已经成为下一代局域网的主要技术,其通过扩增多输入多输出技术、信道宽度、编码与调制策略的种类,使得传输速率获得了巨大的提升.然而种类的扩增也导致了速率选择时搜索空间过大,搜索时间过长,算法计算复杂度高等方面的问题,而已有的针对IEEE802.11a/b/g/n的速率自适应算法无法解决该问题.为了解决该问题,提出了一种在高速无线局域网模式下混合速率自适应算法VhRa.该算法利用MIMO模式、信道宽度的最佳设置与RSSI之间的单调关系来进行特征提取,在MCS (编码与调制策略)选择上通过利用二分法基于zigzag探测的模式进行选择,从而缩小算法搜索的空间,提高搜索效率,进一步提升传输吞吐量.结果表明, VhRa的搜索效率与RRAA、Minstrel-HT相比分别提高了42%、20%,同时在不同场景下对VhRa进行吞吐量分析,移动环境下VhRa相对比RRAA、Minstrel-HT、Samplelite吞吐量分别提升90%、10%、34%. IEEE 802.11ac technology has become the main technology of the next generation LAN, which has greatly improved the transmission rate by increasing the types of multiple input and multiple output technologies, channel width, coding and modulation strategies. However, the increased types also lead to many problems such as excessive search space when the rate is selected, long search time, and high computational complexity. And the existing rate adaptive algorithm for IEEE802.11a/b/g/n cannot solve this problem. To settle this problem, we propose a hybrid rate adaptive algorithm called VhRa in high-speed wireless LAN mode. The algorithm utilizes the MIMO mode, the optimal setting of the channel width and the monotonic relationship between the RSSI to perform feature extraction, and selects the mode based on the zigzag detection by using the dichotomy in the MCS selection, thereby reducing the space for algorithm search and improving the search efficiency. Thus, the algorithm further increases the transmission throughput. The experiment results show that VhRa offers search efficiency up to 42% over RRAA, up to 20% over Minstrel-HT. At the same time, the throughput analysis of the algorithm is carried out in different scenarios. Compared with RRAA, Minstrel- HT, and Samplelite in mobile environment, VhRa offers throughput gain up to 90% over RRAA, up to 10% over Minstrel-HT, and up to 34% over Samplelite.
作者 蔡丽萍 姜忠泰 黄庭培 李大伟 CAI Li-Ping;JIANG Zhong-Tai;HUANG Ting-Pei;LI Da-Wei(College of Computer Science and Technology,China University of Petroleum,Qingdao 266580,China;College of Oceanography and Space Informatics,China University of Petroleum,Qingdao 266580,China)
机构地区 中国石油大学(华东)计算机科学与技术学院 中国石油大学(华东)海洋与空间信息学院
出处 《计算机系统应用》 2020年第4期202-208,共7页 Computer Systems & Applications
基金 国家自然科学基金面上项目(61872385) 国家自然科学基金青年基金(61402433)。
关键词 IEEE 802.11ac 速率选择算法 搜索效率 吞吐量 信号接收强度 IEEE 802.11ac rate adaptation algorithm search efficiency throughput Received Signal Strength Indicator (RSSI)
分类号 TP393.1 [自动化与计算机技术—计算机应用技术]
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计算机系统应用
2020年 第4期

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