Inter-Cell Interference-Aware Radio Resource Management for Femtocell Networks.

Pateromichelakis, Emmanouil. (2013) Inter-Cell Interference-Aware Radio Resource Management for Femtocell Networks. Doctoral thesis, University of Surrey (United Kingdom)..

Preview

Text 10074550.pdf Available under License Creative Commons Attribution Non-commercial Share Alike. Download (87MB) | Preview

Abstract

The widespread data demand in emerging wireless cellular technologies necessitates the evolution of traditional networks’ deployment to accommodate the ever increasing coverage and capacity requirements. In emerging wireless systems a hierarchical multi-level network that consists of a mixture of outdoor small cells (relays) and indoor small cells (femtocell) deployments underneath the traditional macro-cell architecture can be seen as a key deployment strategy to meet these growing capacity demands. In such networks, Femtocell technology has attracted much attention as a key “player” to address coverage and capacity issues mainly in home and enterprise environments. However, a major challenge that arises in such indoor networks originates from the inter-cell interference between the femtocells (commonly known as co-tier interference), assuming that femtocells share the same spectrum. The main objectives of this thesis are to investigate inter-cell interference in femtocell networks and to propose efficient multi-cell scheduling mechanisms that can mitigate inter-cell interference in dense femtocell environments while maintaining spectral efficiency at acceptable level across the cells. We begin with investigating the impact of co-tier interference in femtocells, highlighting the necessity of interference mitigation mechanisms for arbitrary deployment of femtocells. In this direction, a novel low-complexity graph-coloring based interference coordination mechanism is proposed to be applied on top of intra-cell radio resource management. We additionally propose two locally centralized multi-cell scheduling frameworks that enclose adaptive graph-partitioning and weighted capacity maximization concepts. In particular, we decompose the problem in the latter case based on the Exact Generalized Travelling Salesman Problem as a close match in graph-based solutions. Extensive evaluation is provided by simulations showing a significant improvement over the state-of-the-art multi-cell scheduling benchmarks in terms of outage probability as well as user and cell throughput and thus the proposed algorithms are promising candidates of multi-cell scheduling in next generation small cell networks.

Item Type:	Thesis (Doctoral)
Divisions :	Theses
Authors :	Pateromichelakis, Emmanouil.
Date :	2013
Additional Information :	Thesis (Ph.D.)--University of Surrey (United Kingdom), 2013.
Depositing User :	EPrints Services
Date Deposited :	06 May 2020 14:23
Last Modified :	06 May 2020 14:28
URI:	http://epubs.surrey.ac.uk/id/eprint/856156

Actions (login required)

View Item

Downloads