A novel proactive soft load balancing framework for ultra dense network
A major challenge for the future wireless network is to design the self-organizing architecture. The reactive self-organizing model of traditional networks needs to be transformed into an active self-organizing network. Due to the user mobility and the coverage of small cells, the network load often...
Main Authors: | , |
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Format: | Article |
Language: | English |
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KeAi Communications Co., Ltd.
2023-06-01
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Series: | Digital Communications and Networks |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352864822000608 |
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author | Miaona Huang Jun Chen |
author_facet | Miaona Huang Jun Chen |
author_sort | Miaona Huang |
collection | DOAJ |
description | A major challenge for the future wireless network is to design the self-organizing architecture. The reactive self-organizing model of traditional networks needs to be transformed into an active self-organizing network. Due to the user mobility and the coverage of small cells, the network load often becomes unbalanced, resulting in poor network performance. Mobility management has become an important issue to ensure seamless communication when users move between cells, and proactive mobility management is one of the important functions of the active Self-Organizing Network (SON). This paper proposes a proactive mobility management framework for active SON, which transforms the original reactive load balancing into a forward-aware and proactive load balancing. The proposed framework firstly uses the BART model to predict the users’ temporal and spatial mobility based on a weekly cycle and then formulate the MLB optimization problem based on the soft load. Two solutions are proposed to solve the above MLB problem. The simulation results show that the proposed method can better optimize the network performance and realize intelligent mobile management for the future network. |
first_indexed | 2024-03-13T03:32:39Z |
format | Article |
id | doaj.art-9c5ab074d5ce44e292c4116667be4fbe |
institution | Directory Open Access Journal |
issn | 2352-8648 |
language | English |
last_indexed | 2024-03-13T03:32:39Z |
publishDate | 2023-06-01 |
publisher | KeAi Communications Co., Ltd. |
record_format | Article |
series | Digital Communications and Networks |
spelling | doaj.art-9c5ab074d5ce44e292c4116667be4fbe2023-06-24T05:18:00ZengKeAi Communications Co., Ltd.Digital Communications and Networks2352-86482023-06-0193788796A novel proactive soft load balancing framework for ultra dense networkMiaona Huang0Jun Chen1School of Electrical Engineering and Intelligentization, Dongguan University of Technology, Dongguan, Guangdong, 523808, ChinaHuawei Technology, Shenzhen, 518129, China; Corresponding author.A major challenge for the future wireless network is to design the self-organizing architecture. The reactive self-organizing model of traditional networks needs to be transformed into an active self-organizing network. Due to the user mobility and the coverage of small cells, the network load often becomes unbalanced, resulting in poor network performance. Mobility management has become an important issue to ensure seamless communication when users move between cells, and proactive mobility management is one of the important functions of the active Self-Organizing Network (SON). This paper proposes a proactive mobility management framework for active SON, which transforms the original reactive load balancing into a forward-aware and proactive load balancing. The proposed framework firstly uses the BART model to predict the users’ temporal and spatial mobility based on a weekly cycle and then formulate the MLB optimization problem based on the soft load. Two solutions are proposed to solve the above MLB problem. The simulation results show that the proposed method can better optimize the network performance and realize intelligent mobile management for the future network.http://www.sciencedirect.com/science/article/pii/S23528648220006085G and beyondProactive load balancingHeterogeneous networkSoft loadLocation predictionBART |
spellingShingle | Miaona Huang Jun Chen A novel proactive soft load balancing framework for ultra dense network Digital Communications and Networks 5G and beyond Proactive load balancing Heterogeneous network Soft load Location prediction BART |
title | A novel proactive soft load balancing framework for ultra dense network |
title_full | A novel proactive soft load balancing framework for ultra dense network |
title_fullStr | A novel proactive soft load balancing framework for ultra dense network |
title_full_unstemmed | A novel proactive soft load balancing framework for ultra dense network |
title_short | A novel proactive soft load balancing framework for ultra dense network |
title_sort | novel proactive soft load balancing framework for ultra dense network |
topic | 5G and beyond Proactive load balancing Heterogeneous network Soft load Location prediction BART |
url | http://www.sciencedirect.com/science/article/pii/S2352864822000608 |
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