Poster Abstract: Optimizing Handover Parameters by Q-learning for Heterogeneous RF-VLC Networks

Sihua Shao, Zareen Khan, Guanxiong Liu, Abdallah Khreishah, Moussa Ayyash, Hany Elgala, Thomas D.C. Little, Michael Rahaim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Existing literature studying the access point (AP)-user association problem of heterogeneous RF-VLC networks either investigate quasi-static network selection, which results in outdated decision for highly mobile scenario, or only consider the dwell time for the vertical handover from VLC to RF, which means the handover from RF to VLC happens immediately once the condition is met. In this poster, we propose a flexible and holistic framework, that is running a self-optimizing algorithm at the centralized coordinator which resides in the LTE eNB and controls the handover parameters of all the VLC APs under the coverage of LTE eNB. Based on Q-learning approach, the algorithm optimizes the time-to-trigger (TTT) values for vertical handover between LTE and VLC according to historical signal-to-noise ratio (SNR) measurements. Simulation results based on real measurements reveal the significant throughput improvement by optimizing TTT under mobile scenarios and the capability of self-optimizing handover parameters.

Original languageEnglish (US)
Title of host publicationINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1069-1070
Number of pages2
ISBN (Electronic)9781728118789
DOIs
StatePublished - Apr 2019
Event2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 - Paris, France
Duration: Apr 29 2019May 2 2019

Publication series

NameINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019

Conference

Conference2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
Country/TerritoryFrance
CityParis
Period4/29/195/2/19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

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