Load balancing algorithm within the small cells of heterogeneous UDN networks: Mathematical proofs

Mohamad Salhani, Markku Liinaharja

    Research output: Contribution to journalArticleScientificpeer-review

    6 Citations (Scopus)
    193 Downloads (Pure)

    Abstract

    Ultra-Dense Networks (UDNs) can be used to improve coverage. With limited network capacity and the dense development of wireless networks, heterogeneous ultra-dense networks are set to satisfy the increasing demands of mobile users. However, the dense deployment of small cells in the hotspots of UDN networks generates an uneven traffic distribution. To address this problem, this paper proposes novel load balancing approaches implemented within the small cells, which are formed based on the Radio-over-Fiber (RoF) system. To select the best overlapping zone and then the best candidate user to be handed-over between the access points of the small cells, a common zone approach, a worst zone approach and a mixed approach are suggested. The results indicate that the proposed algorithm improves the performance of UDN networks when the load is unbalanced. The balance improvement ratio can reach on average 89.16%.

    Original languageEnglish
    Pages (from-to)627-634
    Number of pages8
    JournalJournal of Communications
    Volume13
    Issue number11
    DOIs
    Publication statusPublished - 1 Nov 2018
    MoE publication typeA1 Journal article-refereed

    Keywords

    • Common zone approach
    • Jain's fairness index
    • Load balancing algorithm
    • Mixed approach
    • RoF
    • UDN
    • Worst zone approach

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