A Mobility-Based Cell Association Algorithm for Load Balancing in a Heterogeneous Network

Janghoon YANG

doi:10.1587/transfun.E100.A.335

A Mobility-Based Cell Association Algorithm for Load Balancing in a Heterogeneous Network

Janghoon YANG

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By installing the various types of cells, imbalance in traffic load and excessive handover among cells in a heterogenous network can be prevalent. To deal with this problem, we propose a mobility-based cell association algorithm for load balancing in a heterogenous network. By defining a dynamic system load as a function of the mobility of mobile stations (MSs) and the transmit powers of cells, the proposed algorithm is designed such that it can optimize a utility function based on the fairness of the dynamic system load. Simulation results verify that the proposed algorithm improves the user perceived rate of MSs located at cell edges with slight increase in the number of handovers compared to a conventional cell association based on received signal strength.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E100-A No.1 pp.335-340

Publication Date: 2017/01/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E100.A.335

Type of Manuscript: LETTER

Category: Mobile Information Network and Personal Communications

Authors

Janghoon YANG
Seoul Media Institute of Technology

Keyword

mobility, cell association, load balancing, heterogeneous network

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Janghoon YANG, "A Mobility-Based Cell Association Algorithm for Load Balancing in a Heterogeneous Network" in IEICE TRANSACTIONS on Fundamentals, vol. E100-A, no. 1, pp. 335-340, January 2017, doi: 10.1587/transfun.E100.A.335.
Abstract: By installing the various types of cells, imbalance in traffic load and excessive handover among cells in a heterogenous network can be prevalent. To deal with this problem, we propose a mobility-based cell association algorithm for load balancing in a heterogenous network. By defining a dynamic system load as a function of the mobility of mobile stations (MSs) and the transmit powers of cells, the proposed algorithm is designed such that it can optimize a utility function based on the fairness of the dynamic system load. Simulation results verify that the proposed algorithm improves the user perceived rate of MSs located at cell edges with slight increase in the number of handovers compared to a conventional cell association based on received signal strength.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E100.A.335/_p

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@ARTICLE{e100-a_1_335,
author={Janghoon YANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Mobility-Based Cell Association Algorithm for Load Balancing in a Heterogeneous Network},
year={2017},
volume={E100-A},
number={1},
pages={335-340},
abstract={By installing the various types of cells, imbalance in traffic load and excessive handover among cells in a heterogenous network can be prevalent. To deal with this problem, we propose a mobility-based cell association algorithm for load balancing in a heterogenous network. By defining a dynamic system load as a function of the mobility of mobile stations (MSs) and the transmit powers of cells, the proposed algorithm is designed such that it can optimize a utility function based on the fairness of the dynamic system load. Simulation results verify that the proposed algorithm improves the user perceived rate of MSs located at cell edges with slight increase in the number of handovers compared to a conventional cell association based on received signal strength.},
keywords={},
doi={10.1587/transfun.E100.A.335},
ISSN={1745-1337},
month={January},}

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TY - JOUR
TI - A Mobility-Based Cell Association Algorithm for Load Balancing in a Heterogeneous Network
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 335
EP - 340
AU - Janghoon YANG
PY - 2017
DO - 10.1587/transfun.E100.A.335
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E100-A
IS - 1
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - January 2017
AB - By installing the various types of cells, imbalance in traffic load and excessive handover among cells in a heterogenous network can be prevalent. To deal with this problem, we propose a mobility-based cell association algorithm for load balancing in a heterogenous network. By defining a dynamic system load as a function of the mobility of mobile stations (MSs) and the transmit powers of cells, the proposed algorithm is designed such that it can optimize a utility function based on the fairness of the dynamic system load. Simulation results verify that the proposed algorithm improves the user perceived rate of MSs located at cell edges with slight increase in the number of handovers compared to a conventional cell association based on received signal strength.
ER -