Cell Selection For Load Balancing And Interference Mitigation In LTE-A Hetnets

Citation

Alam, Mohammed Jaber (2019) Cell Selection For Load Balancing And Interference Mitigation In LTE-A Hetnets. Masters thesis, Multimedia University.

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Abstract

Heterogeneous cellular networks have emerged as part of Long Term Evolution (LTE) systems, where radio resource management (RRM) is the key challenge. However, recent RRM advances have mainly focused on interference mitigation while load balancing, cell association, complexity, quality of service (QoS) are not wellconsidered. The objective of this thesis is to develop new schemes that address cell association, interference mitigation and load balancing among base stations efficiently. This thesis begins with a literature review and introduction to network modelling, followed by the related investigation of LTE-based heterogeneous cellular networks. In the first part of this thesis, the open issues and present state of the art of LTE-based small-cell networks are reviewed. Later, a new cell association technique has been proposed to maximise load balancing among base stations and at the same time minimise the interference among base stations in LTE-A heterogeneous networks. Furthermore, a new way has been suggested to obtain satisfactory bias value for cell range extension in order to further enhance load balance of the network. The proposed schemes demonstrate well in all those aspects compared to existing schemes. The proposed schemes are able to outperform existing schemes in terms of network balance index (NBI) and average throughput of the network.

Item Type: Thesis (Masters)
Additional Information: Call No.: TK5103.48325 .M64 2019
Uncontrolled Keywords: Long-Term Evolution (Telecommunications)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Engineering (FOE)
Depositing User: Ms Nurul Iqtiani Ahmad
Date Deposited: 17 Sep 2020 01:39
Last Modified: 17 Sep 2020 01:39
URII: http://shdl.mmu.edu.my/id/eprint/7715

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