Joint Energy Detection and Transmission Power Adjustment for FIM Problem in High Density WLANs

Yujie Wang, Qi Yang, Mao Yang, Zhongjiang Yan, Bo Li

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

With the rapid development of mobile internet services, the intensive deployment of wireless local area network (WLAN) is inevitable. Traditional WLAN uses carrier sense/collision avoidance (CSMA/CA) mechanism to avoid interference between links as much as possible. In the multi access points (APs) scenario, the traditional CSMA/CA may lead to the flow in the middle (FIM) problem, resulting in a sharp reduction in the throughput of the intermediate nodes and affecting the fairness of the whole network. Existing researches have shown that the FIM problem is more serious in the high density WLAN network. The existing researches on the FIM problem mainly focus on the dynamic optimization of a single parameter, the fairness and performance of the network cannot be well guaranteed. Therefore, this paper proposes a FIM oriented down link (DL) multi-parameter joint dynamic control scheme. AP as a centralized controller, regularly obtains the transmission status of the whole network, reduces the transmission opportunities of the strong AP through adaptive dynamic power and energy detection threshold control (A-DPEC) algorithm, and improves the transmission opportunities of the starvation AP, so as to achieve the performance and fair balance of the whole network. The simulation results show that the proposed scheme outperforms the comparing schemes.

源语言英语
主期刊名Smart Grid and Internet of Things - 6th EAI International Conference, SGIoT 2022, Proceedings
编辑Der-Jiunn Deng, Han-Chieh Chao, Jyh-Cheng Chen
出版商Springer Science and Business Media Deutschland GmbH
200-213
页数14
ISBN(印刷版)9783031312748
DOI
出版状态已出版 - 2023
活动6th International Conference on Smart Grid and Internet of Things, SGIoT 2022 - TaiChung, 中国台湾
期限: 19 11月 202220 11月 2022

出版系列

姓名Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
497 LNICST
ISSN(印刷版)1867-8211
ISSN(电子版)1867-822X

会议

会议6th International Conference on Smart Grid and Internet of Things, SGIoT 2022
国家/地区中国台湾
TaiChung
时期19/11/2220/11/22

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