Distributed Online Handover Decisions for Energy Efficiency in Dense HetNets

Title
Distributed Online Handover Decisions for Energy Efficiency in Dense HetNets
Author(s)
Song, Yujae; Lim, Sung Hoon; Jeon, Sang-Woon
Alternative Author(s)
송유재
Publication Year
2020-12-08
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 handover 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://sciwatch.kiost.ac.kr/handle/2020.kiost/37741
Bibliographic Citation
IEEE Global Communications Conference, 2020
Publisher
IEEE
Type
Conference
Language
English
Publisher
IEEE
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