Reinforcement learning adaptive vertical handover scheme for hybrid VLC-IR networks in ship cabins

Jingtao Wu, Dahai Han, Min Zhang, Zabih Ghassemlooy

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

We propose an adaptive seamless vertical handover scheme for hybrid visible light communication-infrared (VLC-IR) networks in ship cabins based on Sarsa-lambda reinforcement learning algorithm. Compared with the Q-learning and Sarsa, the proposed algorithm surpasses the average downlink data rate by 13% and 14%, respectively. Moreover, the proposed algorithm outperforms the average downlink data rate of immediate handover and dwell handover schemes by 57% and 22%, respectively when the user device movement speed is 1 m/s.

Original languageEnglish
Title of host publication2021 17th International Symposium on Wireless Communication Systems, ISWCS 2021
PublisherVDE Verlag GmbH
ISBN (Electronic)9781728174327
DOIs
Publication statusPublished - 6 Sep 2021
Event17th International Symposium on Wireless Communication Systems, ISWCS 2021 - Berlin, Germany
Duration: 6 Sep 20219 Sep 2021

Publication series

NameProceedings of the International Symposium on Wireless Communication Systems
Volume2021-September
ISSN (Print)2154-0217
ISSN (Electronic)2154-0225

Conference

Conference17th International Symposium on Wireless Communication Systems, ISWCS 2021
Country/TerritoryGermany
CityBerlin
Period6/09/219/09/21

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