A Multidepth Load-Balance Scheme for Clusters of Congested Cells in Ultradense Cellular Networks

Densely deploying small cells will be a solution to provide explosive data requirements in fifth-generation networks. Because users often cluster together in popular locations of an urban area, congested small cells in the popular sites are also gathered. Traditional load balancing schemes generally...

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Bibliographic Details
Published in:Wireless communications and mobile computing 2020, Vol.2020 (2020), p.1-15
Main Authors: Shen, Meng-Han, Tsai, Pei-Lun, Yu, Ya-Ju, Lai, Wei-Kuang
Format: Article
Language:English
Subjects:
Algorithms
Cellular communication
Clusters
Licenses
Load
Load balancing
Overloading
Quality of service
Resource allocation
Urban areas
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Summary:Densely deploying small cells will be a solution to provide explosive data requirements in fifth-generation networks. Because users often cluster together in popular locations of an urban area, congested small cells in the popular sites are also gathered. Traditional load balancing schemes generally only consider neighboring cells when offloading users are not suitable for clusters of overloaded cells. This paper considers groups of overloaded cells in the load balancing problem. The objective is to maximize the quality-of-service satisfaction ratio. To solve the problem, we propose a multidepth offloading algorithm with the consideration of the radio resource allocation. The proposed multidepth offloading algorithm can be applied no matter that congested small cells are gathered or not. Compared with a previous offloading algorithm and a baseline, the simulation results show that our proposed algorithm can increase 16% QoS satisfaction ratio in a real user distribution and 13% QoS satisfaction ratio in a clustered user placement.
ISSN:1530-8669
1530-8677
DOI:10.1155/2020/6975890