Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications

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Conference article in proceedings
Date
2020-01-01
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Language
en
Pages
13
934-946
Series
Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020, Advances in Intelligent Systems and Computing, Volume 1151 AISC
Abstract
In Ultra-Dense Networks, the dense deployment of small cells generates an uneven traffic distribution. This causes network performance degradation. To address this problem, this paper proposes a proactive algorithm along known user transfer and reactive algorithms to construct small-cell clusters and perform load balance across the Access Points (APs). The proactive algorithm distributes the new users, user by user, to the small cells, while the reactive algorithms are triggered when the load of the chosen cluster reaches a predefined threshold. The transfer algorithms offload the small cells by transferring the extra users to the macrocells. The user transfer can occur before or after balancing the load by the reactive algorithm. Moreover, this paper adapts the Design Structure Matrix (DSM) method to balance the load and reduce the APs inter-communications. The results indicate that the proactive algorithm with the transfer algorithms and the DSM method improve the load distribution and significantly reduce the APs inter-communications.
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Citation
Salhani , M 2020 , Offloading the Small Cells for Load Balancing in UDNs Using the Proactive and the User Transfer Algorithms with Reducing the APs Inter-communications . in L Barolli , F Amato , F Moscato , T Enokido & M Takizawa (eds) , Advanced Information Networking and Applications - Proceedings of the 34th International Conference on Advanced Information Networking and Applications, AINA 2020 . Advances in Intelligent Systems and Computing , vol. 1151 AISC , Springer , pp. 934-946 , International Conference on Advanced Information Networking and Applications , Caserta , Italy , 15/04/2020 . https://doi.org/10.1007/978-3-030-44041-1_81