| 大会名称 |
| 2021年 総合大会 |
| 大会コ－ド |
| 2021G |
| 開催年 |
|
2021
|
| 発行日 |
|
2021-02-23
|
| セッション番号 |
|
BS-7
|
| セッション名 |
|
AI technologies and their applications for future network systems and services
|
| 講演日 |
|
2021/3/9
|
| 講演場所(会議室等) |
|
Meeting 30
|
| 講演番号 |
|
BS-7-2
|
| タイトル |
|
An Improvement of Transmission Power Optimization Method Considering Channel Assignment for Concurrently Communicating Three Access-Points in Wireless Local-Area Network
|
| 著者名 |
|
◎Hendy Briantoro, Nobuo Funabiki, Md. Mahbubur Rahman, Kwenga Ismael Munene, Sujan Chandra Roy, Minoru Kuribayashi,
|
| キーワード |
|
WLAN, access point, Raspberry Pi, transmission power optimization, channel assignment, SNR
|
| 抄録 |
|
The IEEE 802.11n wireless local-area network (WLAN) has been commonly used for the Internet access service, due to its simplicity, flexibility, and expandability. To improve the performance by reducing interferences among wireless links in WLAN, the transmission powers of the access points (APs) should be optimized. Previously, we have proposed the transmission power optimization method for concurrently communicating three APs that selects either the maximum or minimum power to each AP after assigning the most distant channels between the APs. However, this method does not give the best performance when two or three APs are located closely. In this paper, we propose an improvement of this method by assigning the same channel to the nearby APs so that the CSMA/CA protocol well controls the competing links with them. For evaluations, we conduct experiments with four network topologies using Raspberry Pi APs, and confirm the effectiveness of the proposal.
|
| 本文pdf |
|
PDF download
|
