Detailed Information

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

Dynamic Decision-Making for Fine-Grained Energy-Efficient Control in Millimeter-Wave Access Platforms

Authors
Kim, JoongheonSeo, BokyungLee, YunseongCho, Sungrae
Issue Date
Jun-2017
Publisher
IEEE
Citation
2017 PROCEEDINGS OF KICS-IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS WITH SAMSUNG LTE & 5G SPECIAL WORKSHOP, pp 274 - 275
Pages
2
Journal Title
2017 PROCEEDINGS OF KICS-IEEE INTERNATIONAL CONFERENCE ON INFORMATION AND COMMUNICATIONS WITH SAMSUNG LTE & 5G SPECIAL WORKSHOP
Start Page
274
End Page
275
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/56507
DOI
10.1109/INFOC.2017.8001676
ISSN
0000-0000
Abstract
This paper proposes a dynamic decision-making algorithm that controls power allocation for minimizing time-average energy expenditure in millimeter-wave (mmWave) modular antenna array (MAA) networking platforms. In the reference networking system, multiple MAA modules exist and each MAA module consists of multiple elements; and the proposed algorithm dynamically allocates powers to the elements in MAA depending on the queue-backlog sizes in terms of the joint optimization of time-average energy-efficiency and queue stability.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Software > School of Computer Science and Engineering > 1. Journal Articles

qrcode

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

Related Researcher

Researcher Cho, Sung Rae photo

Cho, Sung Rae
소프트웨어대학 (소프트웨어학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE