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Challenges Imposed by User's Mobility in Future HetNet: Offloading and Mobility Management

Mahbas, Ali (2017) Challenges Imposed by User's Mobility in Future HetNet: Offloading and Mobility Management. Doctor of Philosophy (PhD) thesis, University of Kent,. (KAR id:62522)

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Abstract

The users' mobility imposes challenges to mobility management and, the offloading process, which hinder the conventional heterogeneous networks (HetNets) in meeting the huge data traffic requirements of the future. In this thesis, a trio-connectivity (TC), which includes a control-plane (C-plane), a user-plane (U-plane) and an indication-plane (I-plane), is proposed to tackle these challenges. Especially, the I-plane is created as an indicator to help the user equipment (UE) identify and discover the small cells in the system prior to offloading her from the overloaded cells e.g. macro cells, to the cells with

abundant resources e.g. small cells. In order to show the advantages of the proposed TC structure, a comparison between the TC and the dual-connectivity (DC) is presented in this thesis, in terms of uplink energy efficiency (ULEE) and energy consumption. Furthermore, the complexity of mobility management is addressed in this thesis as the HetNets will have to handle a large number of UEs and their frequent handoffs due to very dense

small-footprint small cells. Considering an accurate mobility framework is essential not only to find the potential offloading to the small cells but also to show the mobility impact on the quality of service (QoS). This thesis presents a framework to model and derive the coverage of small cells, the cell sojourn time and the handoff rate in a multi-tier HetNet by taking into account the overlap coverage among the small cells. The results show the effects of a number of parameters, including the density and the transmit power of the small cells and the power control factor, on the system performance. They also show that the TC can outperform the DC in dense HetNets in terms of energy

efficiency and energy consumption.

Item Type: Thesis (Doctor of Philosophy (PhD))
Thesis advisor: Wang, Jiangzhou
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
SWORD Depositor: System Moodle
Depositing User: System Moodle
Date Deposited: 02 Aug 2017 10:30 UTC
Last Modified: 19 Dec 2022 10:44 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/62522 (The current URI for this page, for reference purposes)

University of Kent Author Information

Mahbas, Ali.

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