Distributed Online Handover Decisions for Energy Efficiency in Dense HetNets
- Title
- Distributed Online Handover Decisions for Energy Efficiency in Dense HetNets
- Author
- 전상운
- Keywords
- Communication; Networking and Broadcast Technologies; Signal Processing and Analysis; Training; Energy consumption; Base stations; Handover; Heterogeneous networks; Energy efficiency; Global communication
- Issue Date
- 2020-12
- Publisher
- IEEE
- Citation
- GLOBECOM 2020 - 2020 IEEE Global Communications Conference Global Communications Conference (GLOBECOM), page. 1-6
- 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.
- URI
- https://ieeexplore.ieee.org/document/9348215?arnumber=9348215&SID=EBSCO:edseeehttps://repository.hanyang.ac.kr/handle/20.500.11754/165074
- ISBN
- 978-1-7281-8298-8
- ISSN
- 2576-6813
- DOI
- 10.1109/GLOBECOM42002.2020.9348215
- Appears in Collections:
- COLLEGE OF ENGINEERING SCIENCES[E](공학대학) > MILITARY INFORMATION ENGINEERING(국방정보공학과) > Articles
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