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    Mobile Small cells in Cellular Heterogeneous Networks

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    Qutqut_Mahmoud_H_201409_PhD.pdf (2.970Mb)
    Date
    2014-10-01
    Author
    Qutqut, Mahmoud
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    Abstract
    The unprecedented soaring demand for capacity and coverage on cellular networks is challenging and straining operators. The current improvements in cellular standards

    are significantly behind the exponential growth in requirements. Cellular operators

    are currently shifting towards Heterogeneous Networks (HetNets) as the most promis-

    ing solution to meet user demands; by using a mix of Macro Base Stations (MBSs)

    and Small Base Stations (SBSs).

    Recently, several cellular operators have started outdoor deployments of small

    cells to enhance service in high-dense areas (e.g., downtown areas). In this the-

    sis we assess and propose HetNet solutions that capitalize on SBS deployments to

    boost capacity and coverage under varying scenarios. Initially we investigate the core

    challenge of SBS placement in high-demand outdoor zones. We propose dynamic

    placement strategies (DPS) for SBSs, and present two models that optimize placement while minimizing service delivery cost when feasibility is the core challenge, and

    minimizing macrocells utilization as their deployment, compared to small cells, pose

    a constant challenges. Both problems are formulated as Mixed Integer Linear Pro-

    grams (MILPs). These solutions are contrasted to two greedy schemes which we have

    presented and evaluated over extensive simulations. Our simulation results demonstrate that our proposed DPS achieve significant reductions of service delivery cost and MBSs utilization.

    Realizing that a significant cant amount of cellular demand is generated on the go and

    suffers deteriorating quality, recent research efforts proposed deploying SBSs onboard

    public transit vehicles to enhance cellular coverage. We investigate the potential

    performance gains of using mobile SBSs (mobSBSs). We assess and quantify the impact of utilizing mobSBSs which are deployed in vehicles to aggregate traffic and backhaul it to MBS. In our evaluation we study two important indicators to assess the Quality of Service (QoS) received by mobile users, and the ensuing network

    performance. Namely, we investigate Pairwise Error Probability (PEP) and Outage

    Probability (OP) for mobile users.

    Finally, we propose a novel mobile data offloading framework which capitalizes

    on mobile small cells and urban Wireless Fidelity (WiFi) zones to alleviate the data

    tra c load generated onboard on MBSs. We incorporate dedicated and adaptive offloading mechanisms that take into account mobile user service profiles (history)

    and WiFi coverage maps to improve the e efficiency of the offloading framework. We conduct extensive simulation experiments to evaluate the performance of the mobile

    offloading framework and contrast results to a benchmark.
    URI for this record
    http://hdl.handle.net/1974/12538
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