Paper Abstract and Keywords |
Presentation |
2023-07-13 16:25
[Short Paper]
A study of Cross-Layer Adaptation using Learning in Wireless MAC Protocols Koshiro Aruga, Takeo Fujii (UEC) SR2023-40 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
In recent years, with the development of wireless communication technology, networks have become larger and more complex. Until now, the protocols and parameters used in networks have been determined by humans based on their experience, but this has led to the problem of performance degradation due to the inability to adapt to changes in the environment. To solve this problem, a wireless MAC protocol is needed that can adapt to various environments and applications by allowing the network to control itself autonomously.The proposed method collects and learns information about each node in the gateway (GW), and selects parameters for Carrier Sense Multiple Access/Collision Avoidance (CSMA/CA) according to the environment. In addition, the system selects the parameters on each node according to the environment. In addition, assuming an environment in which a video viewing application using adaptive bitrate (ABR) is running on each node, the proposed method improves QoE by selecting an appropriate bitrate. We show that the proposed method improves the average throughput and QoE compared to CSMA/CA without parameter adjustment. To evaluate the performance of the proposed method, we compared it with CSMA/CA without parameter tuning. Computer simulation was used for the comparison, and the number of nodes communicating simultaneously was varied. The simulation results show that the proposed method achieves higher average throughput and QoE than the protocol without parameter adjustment. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Deep Reinforcement Learning / DQN / Network Protocol / / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 123, no. 109, SR2023-40, pp. 55-57, July 2023. |
Paper # |
SR2023-40 |
Date of Issue |
2023-07-05 (SR) |
ISSN |
Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
Download PDF |
SR2023-40 |
Conference Information |
Committee |
SeMI RCS RCC NS SR |
Conference Date |
2023-07-12 - 2023-07-14 |
Place (in Japanese) |
(See Japanese page) |
Place (in English) |
Osaka University Nakanoshima Center + Online |
Topics (in Japanese) |
(See Japanese page) |
Topics (in English) |
Distributed Wireless Network, M2M (Machine-to-Machine),D2D (Device-to-Device),IoT(Internet of Things), etc |
Paper Information |
Registration To |
SR |
Conference Code |
2023-07-SeMI-RCS-RCC-NS-SR |
Language |
Japanese |
Title (in Japanese) |
(See Japanese page) |
Sub Title (in Japanese) |
(See Japanese page) |
Title (in English) |
A study of Cross-Layer Adaptation using Learning in Wireless MAC Protocols |
Sub Title (in English) |
|
Keyword(1) |
Deep Reinforcement Learning |
Keyword(2) |
DQN |
Keyword(3) |
Network Protocol |
Keyword(4) |
|
Keyword(5) |
|
Keyword(6) |
|
Keyword(7) |
|
Keyword(8) |
|
1st Author's Name |
Koshiro Aruga |
1st Author's Affiliation |
The University of Electro-Communications (UEC) |
2nd Author's Name |
Takeo Fujii |
2nd Author's Affiliation |
The University of Electro-Communications (UEC) |
3rd Author's Name |
|
3rd Author's Affiliation |
() |
4th Author's Name |
|
4th Author's Affiliation |
() |
5th Author's Name |
|
5th Author's Affiliation |
() |
6th Author's Name |
|
6th Author's Affiliation |
() |
7th Author's Name |
|
7th Author's Affiliation |
() |
8th Author's Name |
|
8th Author's Affiliation |
() |
9th Author's Name |
|
9th Author's Affiliation |
() |
10th Author's Name |
|
10th Author's Affiliation |
() |
11th Author's Name |
|
11th Author's Affiliation |
() |
12th Author's Name |
|
12th Author's Affiliation |
() |
13th Author's Name |
|
13th Author's Affiliation |
() |
14th Author's Name |
|
14th Author's Affiliation |
() |
15th Author's Name |
|
15th Author's Affiliation |
() |
16th Author's Name |
|
16th Author's Affiliation |
() |
17th Author's Name |
|
17th Author's Affiliation |
() |
18th Author's Name |
|
18th Author's Affiliation |
() |
19th Author's Name |
|
19th Author's Affiliation |
() |
20th Author's Name |
|
20th Author's Affiliation |
() |
Speaker |
Author-1 |
Date Time |
2023-07-13 16:25:00 |
Presentation Time |
15 minutes |
Registration for |
SR |
Paper # |
SR2023-40 |
Volume (vol) |
vol.123 |
Number (no) |
no.109 |
Page |
pp.55-57 |
#Pages |
3 |
Date of Issue |
2023-07-05 (SR) |
|