Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Reinforcement Learning-based Power-Saving Algorithm for Video Traffics Considering Network Delay Jitteropen access

Authors
Ron, DARALee, JUNG-RYUN
Issue Date
Aug-2022
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
Delays; Device-to-device communication; Energy consumption; Jitter; network delay jitter; NoA; opportunistic power saving; reinforcement learning; Schedules; Streaming media; Wi-Fi Direct; Wireless fidelity
Citation
IEEE Access, v.10, pp 1 - 1
Pages
1
Journal Title
IEEE Access
Volume
10
Start Page
1
End Page
1
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/58779
DOI
10.1109/ACCESS.2022.3201866
ISSN
2169-3536
Abstract
Recent studies on energy efficiency and scheduling of power-saving mode have been considered as key technologies for reducing the energy consumption of device-to-device (D2D) communication. Wi-Fi Direct (P2P), one of the key protocols for D2D communication, defines the on-off power saving mechanic called the notice of absence (NoA) power-saving mode that can be applied to the multimedia video traffic. The on-off power saving mechanic enables the user to transmit or receive the real-time video frame during the awake interval in which the video frame rate should meet the requirement. When the user can wholly transmit one video frame before the end time of a required inter-frame interval, it can switch to the sleep mode to save the power consumption. However, the challenge remaining for the NoA method is the fixed length of awake/sleep interval, even if the traffic load is varied. Therefore, in this study, we proposed a reinforcement learning-based power saving (RLPS) method to enhance the performance of the notice of absence (NoA) power-saving mode in Wi-Fi direct with taking the multimedia video transmission and the network delay jitter into consideration. The proposed RLPS method enables the Wi-Fi direct device to dynamically estimate the length of awake interval for transmitting the future video frame in real-time. In addition, the Wi-Fi direct device may wake up too early before the arrival of the video frame, which is caused by the network delay jitter. Thus, the client device has to wait for receiving the video frame. To tackle this challenge, the proposed RLPS method enables the device to predict the start time of awake interval for the purpose of reducing the delay time for receiving the upcoming video frame. Results show that the proposed RLPS method outperforms the existing NoA power-saving mode in terms of the outage probability, energy consumption, and transmission delay of Wi-Fi Direct devices. Author
Files in This Item
Appears in
Collections
College of ICT Engineering > School of Electrical and Electronics Engineering > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Lee, Jung Ryun photo

Lee, Jung Ryun
창의ICT공과대학 (전자전기공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE