Optimal Deployment of Dense Cellular Networks

Arman Shojaeifard, K Hamdi, Emad Alsusa, D K C So, J Tang

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    We present an analytical model for the design and analysis of dense cellular networks (DenseNets) where load-awareness is explicitly incorporated in the system performance. New bounded expressions of aggregate interference and average rate are developed considering spatially-correlated heterogeneous sources. Subsequently, an optimization problem for pinpointing the optimal network density which minimizes the total energy expenditure is formulated and tackled. The validity of our framework and its advantages over the existing fully-loaded and interference-thinning methods are depicted via Monte-Carlo simulations. Based on state-of-the-art system parameters, a homogeneous pico deployment is revealed to be the most energy-efficient solution in future dense urban environments.
    Original languageEnglish
    Title of host publicationProc IEEE VTC Spring
    Publication statusPublished - 18 May 2016
    EventIEEE VTC Spring -
    Duration: 1 Jan 1824 → …


    ConferenceIEEE VTC Spring
    Period1/01/24 → …


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