Mobility Robustness Optimization in Femtocell Networks Based on Ant Colony Algorithm

Haijun ZHANG; Hui LIU; Wenmin MA; Wei ZHENG; Xiangming WEN; Chunxiao JIANG

doi:10.1587/transcom.E95.B.1455

Mobility Robustness Optimization in Femtocell Networks Based on Ant Colony Algorithm

Haijun ZHANG, Hui LIU, Wenmin MA, Wei ZHENG, Xiangming WEN, Chunxiao JIANG

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Mobility Robustness Optimization (MRO) is one of the most important goals in LTE-Advanced Self-Organizing Networks (SON). Seamless handover in femtocell network is urgent and challenging, which has not been paid enough attention. Handover decision parameters, such as Time-To-Trigger (TTT), Hysteresis, Cell Individual Offset (CIO), have great effect on mobility performance, which may lead to Radio Link Failures (RLFs) and Unnecessary Handover. This letter proposes a handover parameters optimization approach based on Ant Colony Algorithm in the femtocell networks. The simulation result shows that the proposed scheme has a better performance than the fixed parameters method.

Publication: IEICE TRANSACTIONS on Communications Vol.E95-B No.4 pp.1455-1458

Publication Date: 2012/04/01

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Online ISSN: 1745-1345

DOI: 10.1587/transcom.E95.B.1455

Type of Manuscript: LETTER

Category: Wireless Communication Technologies

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Haijun ZHANG, Hui LIU, Wenmin MA, Wei ZHENG, Xiangming WEN, Chunxiao JIANG, "Mobility Robustness Optimization in Femtocell Networks Based on Ant Colony Algorithm" in IEICE TRANSACTIONS on Communications, vol. E95-B, no. 4, pp. 1455-1458, April 2012, doi: 10.1587/transcom.E95.B.1455.
Abstract: Mobility Robustness Optimization (MRO) is one of the most important goals in LTE-Advanced Self-Organizing Networks (SON). Seamless handover in femtocell network is urgent and challenging, which has not been paid enough attention. Handover decision parameters, such as Time-To-Trigger (TTT), Hysteresis, Cell Individual Offset (CIO), have great effect on mobility performance, which may lead to Radio Link Failures (RLFs) and Unnecessary Handover. This letter proposes a handover parameters optimization approach based on Ant Colony Algorithm in the femtocell networks. The simulation result shows that the proposed scheme has a better performance than the fixed parameters method.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.E95.B.1455/_p

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@ARTICLE{e95-b_4_1455,
author={Haijun ZHANG, Hui LIU, Wenmin MA, Wei ZHENG, Xiangming WEN, Chunxiao JIANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Mobility Robustness Optimization in Femtocell Networks Based on Ant Colony Algorithm},
year={2012},
volume={E95-B},
number={4},
pages={1455-1458},
abstract={Mobility Robustness Optimization (MRO) is one of the most important goals in LTE-Advanced Self-Organizing Networks (SON). Seamless handover in femtocell network is urgent and challenging, which has not been paid enough attention. Handover decision parameters, such as Time-To-Trigger (TTT), Hysteresis, Cell Individual Offset (CIO), have great effect on mobility performance, which may lead to Radio Link Failures (RLFs) and Unnecessary Handover. This letter proposes a handover parameters optimization approach based on Ant Colony Algorithm in the femtocell networks. The simulation result shows that the proposed scheme has a better performance than the fixed parameters method.},
keywords={},
doi={10.1587/transcom.E95.B.1455},
ISSN={1745-1345},
month={April},}

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TY - JOUR
TI - Mobility Robustness Optimization in Femtocell Networks Based on Ant Colony Algorithm
T2 - IEICE TRANSACTIONS on Communications
SP - 1455
EP - 1458
AU - Haijun ZHANG
AU - Hui LIU
AU - Wenmin MA
AU - Wei ZHENG
AU - Xiangming WEN
AU - Chunxiao JIANG
PY - 2012
DO - 10.1587/transcom.E95.B.1455
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E95-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2012
AB - Mobility Robustness Optimization (MRO) is one of the most important goals in LTE-Advanced Self-Organizing Networks (SON). Seamless handover in femtocell network is urgent and challenging, which has not been paid enough attention. Handover decision parameters, such as Time-To-Trigger (TTT), Hysteresis, Cell Individual Offset (CIO), have great effect on mobility performance, which may lead to Radio Link Failures (RLFs) and Unnecessary Handover. This letter proposes a handover parameters optimization approach based on Ant Colony Algorithm in the femtocell networks. The simulation result shows that the proposed scheme has a better performance than the fixed parameters method.
ER -