Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks

Weibin Ma; Lin Zhang; Zhiqiang Wu

doi:10.1109/ICCNC.2019.8685578

Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks

Weibin Ma, Lin Zhang, Zhiqiang Wu

Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

The hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks is regarded as a promising solution for future indoor wireless communication. In this paper, we present a location information-based load balancing (LB) strategy for the hybrid indoor wireless networks. In our design, we utilize the location information of user terminals (UTs) to design the LB algorithm. Thanks to the dense deployment of the light emitting diodes (LEDs) in LiFi network, the positioning precision is high and the location information can be used to select the UTs among clustering ones to access the WiFi AP. With the objective of maximizing the system throughput under proportional fairness constraints, we then develop a location information-aided LB algorithm according to three presented LB rules. Simulation results demonstrate that, with our location information-aided LB design, the hybrid system can provide high throughput performances and meet the user data rate demands satisfactorily.

Original language	American English
Title of host publication	2019 International Conference on Computing, Networking and Communications (ICNC)
Publisher	IEEE
Pages	413-417
Number of pages	5
ISBN (Electronic)	978-1-5386-9223-3, 978-1-5386-9222-6
ISBN (Print)	978-1-5386-9224-0
DOIs	https://doi.org/10.1109/ICCNC.2019.8685578
State	Published - Apr 11 2019
Event	2019 International Conference on Computing, Networking and Communications, ICNC 2019 - Honolulu, United States Duration: Feb 18 2019 → Feb 21 2019

Conference

Conference	2019 International Conference on Computing, Networking and Communications, ICNC 2019
Country/Territory	United States
City	Honolulu
Period	2/18/19 → 2/21/19

ASJC Scopus Subject Areas

Computer Networks and Communications
Software
Hardware and Architecture

Keywords

Hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks
Light emitting diodes
Load balancing
Location information
Throughput

Disciplines

Electrical and Computer Engineering

Access to Document

10.1109/ICCNC.2019.8685578License: Unspecified

Cite this

Ma, W, Zhang, L & Wu, Z 2019, Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks. in 2019 International Conference on Computing, Networking and Communications (ICNC)., 8685578, IEEE, pp. 413-417, 2019 International Conference on Computing, Networking and Communications, ICNC 2019, Honolulu, United States, 2/18/19. https://doi.org/10.1109/ICCNC.2019.8685578

@inproceedings{eeb91f79892f4096bb5b7046bbff591d,

title = "Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks",

abstract = " The hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks is regarded as a promising solution for future indoor wireless communication. In this paper, we present a location information-based load balancing (LB) strategy for the hybrid indoor wireless networks. In our design, we utilize the location information of user terminals (UTs) to design the LB algorithm. Thanks to the dense deployment of the light emitting diodes (LEDs) in LiFi network, the positioning precision is high and the location information can be used to select the UTs among clustering ones to access the WiFi AP. With the objective of maximizing the system throughput under proportional fairness constraints, we then develop a location information-aided LB algorithm according to three presented LB rules. Simulation results demonstrate that, with our location information-aided LB design, the hybrid system can provide high throughput performances and meet the user data rate demands satisfactorily.",

keywords = "Hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks, Light emitting diodes, Load balancing, Location information, Throughput",

author = "Weibin Ma and Lin Zhang and Zhiqiang Wu",

note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Computing, Networking and Communications, ICNC 2019 ; Conference date: 18-02-2019 Through 21-02-2019",

year = "2019",

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doi = "10.1109/ICCNC.2019.8685578",

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TY - GEN

T1 - Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks

AU - Ma, Weibin

AU - Zhang, Lin

AU - Wu, Zhiqiang

PY - 2019/4/11

Y1 - 2019/4/11

N2 - The hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks is regarded as a promising solution for future indoor wireless communication. In this paper, we present a location information-based load balancing (LB) strategy for the hybrid indoor wireless networks. In our design, we utilize the location information of user terminals (UTs) to design the LB algorithm. Thanks to the dense deployment of the light emitting diodes (LEDs) in LiFi network, the positioning precision is high and the location information can be used to select the UTs among clustering ones to access the WiFi AP. With the objective of maximizing the system throughput under proportional fairness constraints, we then develop a location information-aided LB algorithm according to three presented LB rules. Simulation results demonstrate that, with our location information-aided LB design, the hybrid system can provide high throughput performances and meet the user data rate demands satisfactorily.

AB - The hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks is regarded as a promising solution for future indoor wireless communication. In this paper, we present a location information-based load balancing (LB) strategy for the hybrid indoor wireless networks. In our design, we utilize the location information of user terminals (UTs) to design the LB algorithm. Thanks to the dense deployment of the light emitting diodes (LEDs) in LiFi network, the positioning precision is high and the location information can be used to select the UTs among clustering ones to access the WiFi AP. With the objective of maximizing the system throughput under proportional fairness constraints, we then develop a location information-aided LB algorithm according to three presented LB rules. Simulation results demonstrate that, with our location information-aided LB design, the hybrid system can provide high throughput performances and meet the user data rate demands satisfactorily.

KW - Hybrid light fidelity (LiFi) and wireless fidelity (WiFi) networks

KW - Light emitting diodes

KW - Load balancing

KW - Location information

KW - Throughput

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M3 - Conference contribution

SN - 978-1-5386-9224-0

SP - 413

EP - 417

BT - 2019 International Conference on Computing, Networking and Communications (ICNC)

PB - IEEE

T2 - 2019 International Conference on Computing, Networking and Communications, ICNC 2019

Y2 - 18 February 2019 through 21 February 2019

ER -

Location Information-Aided Load Balancing Design for Hybrid LiFi and WiFi Networks

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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