Network selection and optimisation of 4G heterogeneous multi-hop broadband wireless networks

Wireless Heterogeneous Networking (HetNet) offers the potential to be one of the most promising approaches to meeting escalating network capacity demands cost-effectively. The main challenge facing the deployment of HetNets is provisioning backhaul connectivity for small cells and the selection is governed by availability and cost, not solely by capacity requirements. In practical deployments, the adoption of mixture of backhaul technologies is likely, creating a non-uniform capacity distribution of small cells. The challenge becomes even more demanding if the backhaul is in the form of a multi-hop network. The research therefore proposes two algorithms which ensure that users enjoy the best possible quality of experience represented in terms of connection throughput and fairness considering the issues owing to small cells backhauling. The performance of types of HetNet, the Hotspot Wireless HetNet (HWH) and Multi-hop Wireless HetNet (MWH) corresponding to direct and multi-hop backhauling of small cells is evaluated. For HWH, an algorithm - the Dynamic Backhaul Capacity Sensitive Network Selection Scheme (DyBaCS) - is developed to manage the non-uniform backhaul capacity distribution ensuring a consistently fair network bandwidth distribution whilst maintaining throughput. The performance of DyBaCS and two other commonly used network selection schemes (NSSs) is evaluated and compared. Results show that DyBaCS provides superior fairness and a user throughput performance comparable to other reported schemes. For the more complex MWH architecture, a joint Multi-hop Bandwidth Allocation (MBA) and DyBaCS algorithm is developed to manage network performance. The performance of the algorithm is compared to results obtained using the Cuckoo Search optimisation algorithm and the Fair Share bandwidth allocation scheme. Results show that the algorithm is resilient in improving cell throughput whilst maintaining high levels of fairness.

Name dc:type.qualificationname

phd

Level dc:type.qualificationlevel

doctoral-pg

Grantor dc:publisher.institution

University of Strathclyde

Year dc:date.issued

2014

Author dc:creator

• Ting Kee Ngoh, Alvin

DOI

10.48730/31m0-hq59

Identifier

T13961

OAI identifier oai:identifier

oai:strathclyde:h415p959k