On the Degree of Multi-Connectivity in 5G Millimeter-Wave Cellular Urban Deployments

Margarita Gapeyenko, Vitaly Petrov, Dmitri Moltchanov, Mustafa Riza Akdeniz, Sergey Andreev, Nageen Himayat, Yevgeni Koucheryavy

    Research output: Contribution to journalArticleScientificpeer-review

    17 Citations (Scopus)
    34 Downloads (Pure)


    Outage event caused by dynamic link blockage at millimeter-wave (mmWave) frequencies is a challenging problem for cell-edge users. To address it, 3GPP is currently working on multi-connectivity mechanisms that allow a user to remain connected to several mmWave access points simultaneously as well as switch between them in case its active connection drops. However, the actual number of such simultaneous links -- named the degree of multi-connectivity -- to reach the desired trade-off between the system design simplicity and the outage probability levels remains an open research question. In this work, we characterize the outage probability and spectral efficiency associated with different degrees of multi-connectivity in a typical 5G urban scenario, where the line-of-sight propagation path can be blocked by buildings as well as humans. These results demonstrate that the degrees of multi-connectivity of up to 4 offer higher relative gains. At the same time, performance improvements brought by the multi-connectivity degrees of 5 and higher are much lower. Our analytical framework can be further employed for the performance analysis of multi-connectivity-capable mmWave systems across their different deployment configurations.

    Original languageEnglish
    Pages (from-to)1973-1978
    JournalIEEE Transactions on Vehicular Technology
    Issue number2
    Early online date2018
    Publication statusPublished - Feb 2019
    Publication typeA1 Journal article-refereed


    • dynamic human body blockage
    • macro diversity
    • mmWave systems
    • multi-connectivity
    • outage probability

    Publication forum classification

    • Publication forum level 2

    ASJC Scopus subject areas

    • Automotive Engineering
    • Aerospace Engineering
    • Applied Mathematics
    • Electrical and Electronic Engineering

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