A Hybrid Scenario Generator and Its Application on Network Simulations

Yen Chen Chen, Yan Ting Lin, Chih Wei Huang

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

Abstract

Due to the growing need for virtual reality (VR) in entertainment, medical, and education, there are more and more researches going to deal with the problem of next-generation wireless technologies for VR. Moreover, most of them are machine learning algorithms and confronting challenges to collect datasets from multi-user VR applications. In this paper, we propose a hybrid scenario generator based on a real game, providing interaction adjustable scenarios to support the research which wants to solve the multi-user resource allocation problem. The simulation result shows that the scenarios are more comprehensive and flexible.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728173993
DOIs
StatePublished - 28 Sep 2020
Event7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020 - Taoyuan, Taiwan
Duration: 28 Sep 202030 Sep 2020

Publication series

Name2020 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020

Conference

Conference7th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2020
Country/TerritoryTaiwan
CityTaoyuan
Period28/09/2030/09/20

Keywords

  • resource allocation
  • VR

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