Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 전상운 | - |
dc.date.accessioned | 2021-09-09T05:16:52Z | - |
dc.date.available | 2021-09-09T05:16:52Z | - |
dc.date.issued | 2020-12 | - |
dc.identifier.citation | GLOBECOM 2020 - 2020 IEEE Global Communications Conference Global Communications Conference (GLOBECOM), page. 1-6 | en_US |
dc.identifier.isbn | 978-1-7281-8298-8 | - |
dc.identifier.issn | 2576-6813 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9348215?arnumber=9348215&SID=EBSCO:edseee | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/165074 | - |
dc.description.abstract | In this paper, we consider the problem of handover decision making in the context of a dense heterogeneous network with a macro base station and multiple small base stations. We propose a distributed deep Q-learning based algorithm that minimizes the overall energy consumption by taking into account both the energy consumption from transmission and hand over overheads. The proposed algorithm is performed in a distributed and interactive manner in which a centralized training agent manages the replay buffer for training its deep Q-network, by gathering state, action, and reward information reported from distributed handover agents. We perform several numerical evaluations and demonstrate that the proposed algorithm provides 10% to 30% energy savings over other contemporary handover mechanisms depending on handover overhead costs. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE | en_US |
dc.subject | Communication | en_US |
dc.subject | Networking and Broadcast Technologies | en_US |
dc.subject | Signal Processing and Analysis | en_US |
dc.subject | Training | en_US |
dc.subject | Energy consumption | en_US |
dc.subject | Base stations | en_US |
dc.subject | Handover | en_US |
dc.subject | Heterogeneous networks | en_US |
dc.subject | Energy efficiency | en_US |
dc.subject | Global communication | en_US |
dc.title | Distributed Online Handover Decisions for Energy Efficiency in Dense HetNets | en_US |
dc.type | Article | en_US |
dc.identifier.doi | 10.1109/GLOBECOM42002.2020.9348215 | - |
dc.relation.page | 1-6 | - |
dc.contributor.googleauthor | Song, Yujae | - |
dc.contributor.googleauthor | Lim, Sung Hoon | - |
dc.contributor.googleauthor | Jeon, Sang-Woon | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF ENGINEERING SCIENCES[E] | - |
dc.sector.department | DEPARTMENT OF MILITARY INFORMATION ENGINEERING | - |
dc.identifier.pid | sangwoonjeon | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.