A Throughput Estimation Model for IEEE 802.11n MIMO Link in Wireless Local-Area Networks

Sumon Kumar Debnath, Mousumi Saha, Nobuo Funabiki, Wen Chung Kao

研究成果: 書貢獻/報告類型會議論文篇章

2 引文 斯高帕斯(Scopus)

摘要

To design an efficient wireless local-area network (WLAN), we have studied the throughput estimation model for the IEEE 802.11n link both in indoor and outdoor environments. This model first estimates the received signal strength (RSS) at the receiving node using the log distance path loss model. Then, it converts RSS to the throughput using the sigmoid function. The parameters in these functions are optimized by applying the parameter optimization tool to measurement results. In this paper, we examine the throughput estimation model for the Multiple Input Multiple Output (MIMO) link in IEEE 802.11n. MIMO link can increase the transmission capacity using multiple streams. First, throughput measurements for MIMO links are conducted using commercial devices and software in three network fields. Then, using the results, the parameters in the model are optimized by the tool. The evaluation results show that this model can estimate throughputs with considerably high accuracy in any field when compared with the ns-3 network simulator. Besides, the model is modified to improve the accuracy when multiple hosts are communicating with one access point (AP) simultaneously.

原文英語
主出版物標題2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018
發行者Institute of Electrical and Electronics Engineers Inc.
頁面421-425
頁數5
ISBN(列印)9781538663509
DOIs
出版狀態已發佈 - 2018 九月 11
事件3rd International Conference on Computer and Communication Systems, ICCCS 2018 - Nagoya, 日本
持續時間: 2018 四月 272018 四月 30

出版系列

名字2018 3rd International Conference on Computer and Communication Systems, ICCCS 2018

會議

會議3rd International Conference on Computer and Communication Systems, ICCCS 2018
國家/地區日本
城市Nagoya
期間2018/04/272018/04/30

ASJC Scopus subject areas

  • 電腦網路與通信
  • 電腦視覺和模式識別
  • 硬體和架構
  • 人工智慧

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