Inter-cell interference mitigation in LTE-advanced heterogeneous mobile networks

Al-Aaloosi, ABA 2017, Inter-cell interference mitigation in LTE-advanced heterogeneous mobile networks , PhD thesis, University of Salford.

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Abstract

Heterogeneous Networks are one of the most effective solutions for enhancing the network performance of mobile systems, by deploying small cells within the coverage of the ordinary Macro cells. The goals of deploying such networks are to offload data from the possibly congested Macro cells towards the small cells and to achieve enhancements for outdoor/ indoor coverage in a cost-effective way. Moreover, heterogeneous networks aim to maximise the system capacity and to provide lower interference by reducing the distance between the transmitter and the receiver.

However, inter-cell interference is a major technical challenge in heterogeneous networks, which mainly affects system performance and may cause a significant degradation in network throughput (especially for the edge users) in co-channel deployment. So, to overcome the aforementioned problem, both researchers and telecommunication operators are required to develop effective approaches that adapt different mobile system scenarios.

The research study presented in this thesis provides a novel interference mitigation scheme, based on power control and time-domain inter-cell interference coordination to improve cell and users’ throughputs. In addition, powerful scheduling algorithms have been developed and optimised to adapt the proposed scheme for both macro and small cells. It is responsible for the optimum resource allocation to minimise the inter-cell interference to the minimum ranges.

The focus of this work is for downlink inter-cell interference in Long Term Evolution (LTE- Advanced) mobile networks, as an example of OFDMA (orthogonal frequency division multiple access)-based networks. More attention is paid to the Pico cell as an important cell type in heterogeneous deployment, due to the direct backhauling with the macro cell to coordinate the resource allocation among cells tightly and efficiently.

The intensive simulations and results analyses show that the proposed scheme demonstrates better performance with less complexity in terms of user and cell throughputs, and spectral efficiency, as compared with the previously employed scheme

Item Type: Thesis (PhD)
Contributors: Alani, Omar (Supervisor)
Schools: Schools > School of Computing, Science and Engineering
Depositing User: AB Al-Aaloosi
Date Deposited: 19 Feb 2018 16:08
Last Modified: 19 Mar 2018 01:38
URI: http://usir.salford.ac.uk/id/eprint/44581

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