TY - GEN
T1 - Poster Abstract
T2 - 2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
AU - Shao, Sihua
AU - Khan, Zareen
AU - Liu, Guanxiong
AU - Khreishah, Abdallah
AU - Ayyash, Moussa
AU - Elgala, Hany
AU - Little, Thomas D.C.
AU - Rahaim, Michael
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - 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problem of heterogeneous RF-VLC networks either investigate quasi-static network selection, which results in outdated decision for highly mobile scenario, or only consider the dwell time for the vertical handover from VLC to RF, which means the handover from RF to VLC happens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.
AB - 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problem of heterogeneous RF-VLC networks either investigate quasi-static network selection, which results in outdated decision for highly mobile scenario, or only consider the dwell time for the vertical handover from VLC to RF, which means the handover from RF to VLC happens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.
UR - https://www.scopus.com/pages/publications/85073261144
UR - https://www.scopus.com/pages/publications/85073261144#tab=citedBy
U2 - 10.1109/INFCOMW.2019.8845139
DO - 10.1109/INFCOMW.2019.8845139
M3 - Conference contribution
AN - SCOPUS:85073261144
T3 - INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
SP - 1069
EP - 1070
BT - INFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 April 2019 through 2 May 2019
ER -